Responsibilities:

- Collaborate with relevant agencies on Levy collection effort and exchange of data/ information

- Investigate discrepancy in payment amount claimed by companies

- Face-to-face/virtual meetings with company representatives to clarify payroll records

- Conduct onsite audit on employers’ payroll records

- Draft and send e-mail response to appeals

- Statistics reporting on number of appeals received and track outcome of appeals

- Handle and process request for refunds

Requirements:

- Diploma or Degree holder

- At least 2 to 3 years of relevant work experience in enforcement or audit is an added advantage

- Excellent communication skills and inter-personal skills to engage employers and other stakeholders

- Effective team player with good communication, analytical and inter-personal skills

- Driven, meticulous and able to multi-task and work independently

- Knowledge related to compliance audit policies, relevant Act and Regulations are an advantage

- Advanced knowledge of Microsoft Excel (such as Vlookup, pivot tables), prior experience in data analysis and sense making of data from systems is a strong advantage

Knowledge

Competent in using MS Office, especially in Ms Excel

People Skill

Good Team Player

Good communication skills for both spoken and written skills

Has initiative, pro-activeness and positive working attitude,

Work Location

5 days week – AMK

Salary Budget - $2.8 - $3.8K (depending on qualification and work experience)

Please submit resumes to [email protected] with the following details in MS Word format:

- Position applying for

- Current remuneration

- Expected remuneration

- Notice period

John Goh Meng Chye

EA License No : 06C4642

EA Reg No : R1102621

We regret that only shortlisted candidates will be notified.

Responsibilities:

- Collaborate with relevant agencies on Levy collection effort and exchange of data/ information

- Investigate discrepancy in payment amount claimed by companies

- Face-to-face/virtual meetings with company representatives to clarify payroll records

- Conduct onsite audit on employers’ payroll records

- Draft and send e-mail response to appeals

- Statistics reporting on number of appeals received and track outcome of appeals

- Handle and process request for refunds

Requirements:

- Diploma or Degree holder

- At least 2 to 3 years of relevant work experience in enforcement or audit is an added advantage

- Excellent communication skills and inter-personal skills to engage employers and other stakeholders

- Effective team player with good communication, analytical and inter-personal skills

- Driven, meticulous and able to multi-task and work independently

- Knowledge related to compliance audit policies, relevant Act and Regulations are an advantage

- Advanced knowledge of Microsoft Excel (such as Vlookup, pivot tables), prior experience in data analysis and sense making of data from systems is a strong advantage

Knowledge

Competent in using MS Office, especially in Ms Excel

People Skill

Good Team Player

Good communication skills for both spoken and written skills

Has initiative, pro-activeness and positive working attitude,

Work Location

5 days week – AMK

Salary Budget - $2.8 - $3.8K (depending on qualification and work experience)

Please submit resumes to [email protected] with the following details in MS Word format:

- Position applying for

- Current remuneration

- Expected remuneration

- Notice period

John Goh Meng Chye

EA License No : 06C4642

EA Reg No : R1102621

We regret that only shortlisted candidates will be notified.

2. Position Title: Senior Data Engineer

Experience Required: 5-10 Years

Position Summary:
We are seeking an experienced Senior Data Engineer with 5 to 10 years of hands-on experience in building and managing data pipelines and big data infrastructure. The ideal candidate will have a strong technical background in data engineering tools, big data ecosystems, and programming languages. This role focuses on designing, implementing, and optimizing complex data workflows using Apache Airflow, Apache NiFi, Kafka, PySpark, Spark Scala, and other key technologies. Candidates with proficiency in Python, Java, and shell scripting are highly preferred.

Key Responsibilities:

• Data Pipeline Design & Management:
  Design, build, and maintain scalable and reliable data pipelines to support both real-time and batch processing requirements.
• Workflow Optimization & Monitoring:
  Manage, monitor, and optimize workflows in Apache Airflow to ensure data quality, integrity, and system performance.
• Data Integration:
  Develop and integrate data flows using Apache NiFi to ensure seamless data ingestion and transformation processes.
• Real-Time Data Streaming:
  Work extensively with Apache Kafka for data streaming and messaging across various data sources.
• Data Processing Solutions:
  Implement data processing solutions using PySpark and Spark Scala to handle large-scale datasets and complex transformations.
• Automation & Scripting:
  Write efficient code in Python and Java to automate data workflows and support data engineering needs, utilizing shell scripting for operational tasks.
• Cross-functional Collaboration:
  Collaborate with cross-functional teams to understand data requirements and provide optimized engineering solutions.
• Data Security & Compliance:
  Ensure data security, compliance, and performance by following best practices in big data and distributed systems.
• Continuous Improvement:
  Continuously improve the performance, scalability, and reliability of data processing pipelines.

Required Skills and Experience:

• Apache Airflow:
  Extensive experience in managing, scheduling, and monitoring data pipelines.
• Apache NiFi:
  Strong experience in designing data flows for ingestion and transformation.
• Apache Kafka:
  In-depth knowledge of Kafka for real-time data streaming and messaging systems.
• PySpark & Spark Scala:
  Proficiency in using PySpark and Spark Scala for large-scale data processing.
• Programming Languages:
  Strong experience with Python and Java, with additional expertise in shell scripting.
• Big Data Knowledge:
  Familiarity with big data ecosystems and distributed data processing.
• Problem-Solving & Teamwork:
  Ability to work independently and collaboratively in a fast-paced environment, solving complex data engineering challenges.

Educational Qualifications:

• Required:
  Bachelor’s or Master’s degree in Computer Science, Information Technology, Data Engineering, or a related field.

Preferred Qualifications:

• Cloud Experience:
  Experience in cloud environments (AWS, GCP, Azure) with big data components.
• Version Control & CI/CD:
  Experience with version control tools (e.g., Git) and CI/CD practices in data engineering.
• Analytical & Communication Skills:
  Strong analytical, problem-solving, and communication skills.

Handshakes by DC Frontiers is an award-winning DataTech company that leverages data to empower safe, informed business decisions. We are located in 7 cities and are expanding our presence across the globe.

We are hiring an experienced Senior Data Engineer to be based in our Singapore office. The Senior Data Engineer will be part of our Data and AI team that is involved in building innovative products on cutting-edge technologies to solve business problems. As a Senior Data Engineer, you will be expected to build machine learning solutions and create robust data pipelines to maintain and optimise data platforms.

Responsibilities for a Senior Data Engineer would include but will not be limited to:

• Engaging in technical design and building reusable codes that are efficient, scalable and stable
• Developing APIs to support high throughput data processing, features engineering and other uses cases
• Creating new data pipelines, improve existing data processes and champion automation of manual processes especially in data delivery
• Collaborating with data scientists, AI engineers, product managers and other teams in developing relevant and cutting-edge data solutions tailored to business and product requirements
• Working on all aspects of data including platform and infrastructure build out, pipeline engineering as well as creating of tools and services relevant in managing the data platforms

As an experienced Senior Data Engineer, you would have:

• Demonstrable experience in coding and scripting in languages such as Scala, Go, Python, SQL or R
• Exposure to big data technologies like Spark, Airflow, Hadoop, Kafka, et al
• Strong experience with data management, data tools, relational / non-relational databases (SQL, NoSQL, MongoDB, HBase, Cassandra), ETL processes
• Experience with cloud services such as AWS, Azure or GCP a plus
• Ability to drive CI/CD, containerization, blue green deployments as well as re-designing of infrastructure for greater scalability

We are not engaging with recruitment agencies. If interested, apply here or send your profile or inquiries directly to [email protected].

Are you a Senior Data Analyst with a proven track record of delivering clear business impact through data? We’ve been looking for you!

The data team at Kape is building a world-class, data-driven culture to empower our employees with timely, accurate information to drive their decision making.

In this role you will make a huge impact, influencing business decisions relating to millions of customers every day. You’ll work with great people on projects across the company, supporting top-performing departments including software development, engineering, product, marketing, content, and people management.

What you’ll be doing

As a Senior Operations Data Analyst, you will:

• Act as a strategic partner in Product Operations to grow the extent of data-driven planning and decision making. Product Operations watches over our service platforms and infrastructure, ensuring our services are working reliably and seamlessly for our customers.
• Lead complex projects to turn data into insights, predictions, and actionable recommendations, delivering clear business value to our cross functional teams in their business challenges.
• Deliver impactful insights and recommendations using compelling visualizations in user-friendly dashboards.
• Collaborate with Data Engineers and Analytics Engineers to define requirements and standards for data pipelines and transformations, aligning with broader requirements.
• Drive quality and consistency, setting solid standards for the team

Who we’re looking for

If this sounds like you, please get in touch!

• Are passionate about data and using it to influence business decisions.
• Have 4+ years of experience in a Data Analyst / Business Intelligence Analyst role.
• Adept at integrating with the business to truly understand their business challenges, defining how data can help and integrating it at the earliest opportunity to increase data driven decision making.
• Have a track record of delivering clear business value from data through fit for purpose and actionable insights.
• Are an excellent communicator and use storytelling to bring insights to life and make connections on the business level.
• Have outstanding analytical skills - from unearthing valuable insights through querying data to creating compelling visualisations for ease of understanding.
• Proficient with querying languages such as SQL, and visualization tools such as Tableau/Power BI
• Are organized and able to lead complex projects with multiple user stories and dependencies.
• Seek a fast-paced environment where you will make an instant impact.
• Want to work alongside other intelligent and passionate people.

Nice to have, but not required

• Data science experience (e.g. experimentation, predictive analytics, machine learning).
• Training / mentoring experience relating to data: Can be with team members or across business units and their data use.
• You are comfortable talking technology and communicating with developers on technical topics.
• Understanding of operational metrics such as connection statistics, server telemetry, bandwidth utilization, and more
• Experience with Operations Monitoring tools such as Grafana, InfluxDB

Working Location: Islandwide
Contract Duration: Up to 12 Months Contract
Working Hours: Monday – Thursday: 8.30am – 6pm, Friday: 8.30am – 5.30pm
Basic Salary: Up to $2,980 per month

Background:
This is a generic job posting for Entry Level applicants who are interested in a role within the Social Service sector. More details will be furnished during the screening process.

Responsibilities:
Your job duties may involve:

• Processing of Applications: Assist in processing and assessing online applications received in the system.
• Data Management: Collecting, analysing, and presenting data on dashboards.
• Customer Service: Assist members of the public in promoting the use of digital/online services to apply for financial assistance. (Digital Ambassador)
• General Administration: Coordination of meetings, minutes taking, tracking of returns, data entry, etc
• Fieldwork: Assist Adult Protection Officers in field work.
• Other ad-hoc duties as assigned.

Job Requirements:

· Diploma or Bachelor’s Degree in Psychology / Social Work / Sociology / Early Childhood Education or other relevant disciplines.

· Immediate Starters are preferred (Not serving any notice period)

· Entry Level applicants with interest in the Social Service sector are welcomed to apply.

Interested candidates, please forward a copy of your resume to: [email protected].

We regret to inform that only shortlisted candidates will be notified.

Justin Lee
Registration No: R22107715
APBA TG Human Resource Pte Ltd
EA License: 14C7275

Job Summary

We are seeking a detail-oriented Data Analyst to support daily operational reporting, data extraction for various business needs, and audit-related tasks. This role is integral to ensuring data accuracy, providing actionable insights, and supporting compliance within our credit card operations. The ideal candidate should have a strong analytical background, experience with SQL, and an understanding of financial data relevant to the credit card industry.

Responsibilities

1.Daily Operational Reporting

• Generate, review, and distribute daily, weekly, and monthly reports related to credit card transaction volumes, financial performance, and other OKRs.
• Ensure the accuracy, reliability, and timeliness of all reporting outputs.
• Collaborate with different departments to customize reports to meet operational needs.

2. Data Extraction for Business Operations

• Use SQL or other query tools to extract data as needed for ad-hoc analysis,performance tracking, and business operations.
• Work with cross-functional teams to understand data needs, design queries, and ensure data integrity.
• Identify data trends and provide recommendations based on analysis.

3. Audit and Compliance Support

• Support internal and external audit activities by retrieving and validating required datasets.
• Document data sources, extraction methodologies, and calculations to ensure data transparency.
• Collaborate with compliance and risk management teams to ensure data reporting aligns with regulatory requirements.

4. Data Management and Quality Assurance

• Conduct regular quality checks on datasets and reports to ensure consistency andaccuracy.
• Participate in data cleansing and enrichment initiatives to improve data quality.
• Maintain data documentation and ensure adherence to data governance policies.

5. Continuous Improvement

• Identify opportunities to automate data processes and reporting workflows.
• Develop and enhance analytical tools and dashboards to support decision-making.
• Stay updated on industry trends and best practices in data analytics for financial services.

Qualifications

• Bachelor’s degree in Data Science, Finance, Economics, Statistics, or a related field.
• Proven experience as a Data Analyst, preferably within the financial or credit card industry.
• Proficiency in SQL and experience with data visualization tools (e.g., Tableau, Power BI)
• Strong analytical and problem-solving skills with a keen eye for detail.
• Familiarity with audit processes and regulatory compliance requirements.
• Ability to communicate insights effectively to both technical and non-technical stakeholders.

Preferred Skills

• Knowledge of data warehousing and ETL processes.
• Understanding of credit card operations and financial transaction data.
• Experience with statistical tools (e.g., Python, R) is a plus.

Job Purpose

As an Executive, Data Analytics, your role will be pivotal in supporting data-driven decision-making processes and delivering valuable insights to support strategic initiatives. You will support in implementing Artificial Intelligence / Machine Learning (AI/ML), leveraging on data to enhance advertising strategies, improve ROI, and contribute to the organisational’s growth.

Please note that the incumbent will be hired on a 1 + 1 year contract.

Responsibilities

The duties and responsibilities are listed below. The list is not comprehensive and related duties and responsibilities may be assigned from time to time.

1. Data Analysis and Insights:

• Conduct in-depth data analysis to identify trends, patterns, and actionable insights from advertising campaigns.
• Perform a market-based assessment and execute new go-to-market strategies in the field.

2. Campaign Optimization:

• Collaborate with marketing and sales teams to optimize campaign performance through data-driven strategies.
• A/B testing and experimentation to improve ad creative, targeting, and messaging.
• Streamline and drive process improvements for operational excellence

3. Data Visualization:

• Create data marts, visually appealing and informative data visualizations to communicate findings and insights effectively.
• Develop and maintain dashboards and reports to track key performance metrics and provide actionable recommendations.
• Drive end-to-end data projects; identify issues, gather information from various sources, analyse huge data, interpret patterns and trends, build models, give recommendations, and create insightful automated reports.

4 . Artificial Intelligence / Machine Learning (AI/ML)

• Support and implement machine learning models and algorithms.
• Collect, preprocess, and analyze data to train and evaluate AI models.
• Support the building of predictive models to forecast advertising campaign outcomes and customer behavior.
• Collaborate with data engineers to integrate AI solutions into applications and products.
• Test and validate AI models and algorithms to ensure accuracy and reliability.

5. Data Quality and Integrity:

• Ensure data accuracy and integrity by cleaning, transforming, and validating data from various sources.
• Support data mining and forensic review for completeness & accuracy.

6. Reporting and Documentation:

• Prepare and present regular reports and documentation to internal stakeholders and clients.
• Be a steward of good data practices – robust documentation, process and knowledge sharing.

Qualifications & Work Experience

1. Qualifications:

• Bachelor's degree in a related field such as Statistics, Mathematics, Computer Science, or Marketing Analytics preferred.
• Proven experience as a data analyst or similar role in advertising, research or consulting industry will be beneficial.
• Strong analytical thinking and problem-solving skills.
• Excellent written and verbal communication skills.
• Attention to detail and a commitment to data accuracy.

2. Work Experience:

• Minimum of 1-3 years of relevant work experience in data analysis preferred. Experience in the advertising, research or consulting industry will be a plus.
• Demonstrated experience in leveraging data to drive advertising campaign success.
• Track record of creating actionable insights and contributing to campaign optimization.
• Experience with client-facing roles or presenting data-driven insights to clients is a plus.

Skills

1. Technical Abilities:

• Proficiency in data analysis tools and programming languages (e.g., Python, R, SQL).
• Experience with data preprocessing, feature engineering, and model evaluation.
• Strong experience with data visualization tools (e.g., Tableau, Power BI).
• Knowledge of statistical analysis and modeling techniques.
• Experience with data warehousing and ETL (Extract, Transform and Load) processes.
• Understanding of A/B testing methodologies and experimentation.
• Knowledge of machine learning algorithms is a plus.

2. Team Dynamics Abilities:

• Strong communication skills to effectively convey data insights to both technical and non-technical stakeholders.
• Collaborative mindset to work closely with cross-functional teams such as marketing, advertising, and IT.
• Problem-solving skills to address complex data-related challenges.
• Ability to mentor and provide guidance to junior data analysts.
• Adaptability to work in a dynamic and fast-paced advertising environment.

We are seeking a skilled Data Analyst with experience in customer profiling, segmentation, data extraction for business operations, and promotion analysis. This role will be responsible for analyzing customer data to support personalized marketing initiatives, optimize promotional strategies, and enhance customer engagement. The ideal candidate will have a strong analytical background, experience with SQL, and an understanding of customer behavior in the credit card industry.

Responsibilities

1. Customer Profiling and Segmentation

• Develop and maintain customer profiles by analyzing behavioral, demographic, and transactional data.
• Identify and create customer segments to support targeted marketing, retention, and engagement strategies.
• Collaborate with the marketing team to define and refine segmentation criteria to ensure accurate and actionable insights.

2. Data Extraction for Operational Support

• Perform data extraction using SQL or other query tools to support various business needs, including customer insights, campaign analysis, and business reporting.
• Ensure data accuracy, consistency, and integrity in all extracted datasets and analyses.
• Support ad-hoc data requests from cross-functional teams as needed.

3. Promotions and Campaign Analysis

• Analyze the performance of promotional campaigns and provide insights to optimize marketing strategies.
• Measure the effectiveness of campaigns and promotions across different customer segments, providing data-driven recommendations.
• Collaborate with marketing to test new promotional ideas and measure their impact on customer engagement and retention.

4. Customer Insights and Reporting

• Create and deliver regular reports on customer behavior, engagement trends, and segment performance.
• Use data visualization tools to present findings and recommendations in a clear and actionable format for business stakeholders.
• Identify trends and opportunities within customer data to improve product offerings and customer experience.

5. Continuous Improvement and Automation

• Seek opportunities to improve and automate data processes, reporting, and analytics workflows.
• Develop and enhance dashboards and analytical tools to streamline data access and support decision-making.
• Stay current with industry trends in data analytics and customer segmentation within the credit card sector.

Qualifications

• Bachelor’s degree in Data Science, Finance, Economics, Statistics, or a related field.
• Proven experience as a Data Analyst, preferably within the financial or credit card industry.
• Proficiency in SQL and experience with data visualization tools (e.g., Tableau, Power BI).
• Strong analytical and problem-solving skills with a keen eye for detail.
• Familiarity with audit processes and regulatory compliance requirements.
• Ability to communicate insights effectively to both technical and non-technical stakeholders.

Preferred Skills

• Knowledge of data warehousing and ETL processes.
• Understanding of credit card operations and financial transaction data.
• Experience with statistical tools (e.g., Python, R) is a plus.

WHO WE ARE:

Build. Scale. Sustain.

PALO IT is a global technology consultancy that crafts tech as a force for good. We design, develop and scale digital and sustainable products and services to unlock value across the triple bottom line: people, planet, profit. We do the right thing, and we do it right. We're proud to be a World Economic Forum New Champion, and a B Corp-certified company.

• We are small enough to care locally, big enough to deliver globally (5 continents, 18 offices, +650 experts from +50 nationalities)
• We are robust and resilient (100% independent and 0 debt)
• We are entrepreneurs and passionate experts: We invest in what we believe genuinely and work as a collective intelligence
• We are positive, courageous, caring, doers and committed to excellence

YOUR ROLE:

The Senior Data Engineer will work on acquiring, storing, governing and processing huge sets of structured / unstructured data. You will bring a vision of the big data solutions landscape for choosing optimal architecture components to use for these purposes as well as a set of data engineering skills for implementing enterprise data foundations such as data lake. Finally, you will work closely with other PALO IT experts in Data Intelligence, Research, UX Design, Digital Technology and Agile teams to enable intelligence in the digital mesh of our clients and deliver big impact to them.

YOUR RESPONSIBILITIES:

• Design, implement, and maintain robust and scalable data pipelines to ingest, transform, and process structured and unstructured data from various sources.
• Build and manage data warehouses and data lakes, implementing efficient data storage and retrieval mechanisms. Design data models that support business requirements and analytics use cases.
• Leverage cloud platforms (e.g., AWS, Azure, GCP) to design and deploy scalable data infrastructure, optimizing for performance, cost-effectiveness, and reliability.
• Implement data quality checks, validation processes, and data governance frameworks to ensure data accuracy, integrity, and compliance with security standards.
• Continuously monitor and optimize data pipelines and infrastructure to improve processing speed, reduce latency, and enhance overall system performance.
• Work collaboratively with data scientists, analysts, and other stakeholders to understand their data needs, provide technical expertise, and deliver solutions that meet business objectives.
• Support business users by implementing data presentation layer including data visualisation using tools like Tableau, PowerBI etc.
• Stay up-to-date with emerging technologies and industry trends in the big data and data engineering space, evaluating and implementing innovative solutions to improve data processing capabilities.
• Support the definition and optimization of underlying data infrastructure

WHO YOU ARE:

• You hold a Bachelor's, Master's, or Ph.D. degree in IT, Information Management, and/or Computer Science with at least 6 years of experience.
• Good knowledge of the big data technology landscape and concepts related to distributed storage/computing
• Experience with big data frameworks (e.g. Hadoop, Spark) and distributions (Cloudera, Hortonworks, MapR)
• Experience with batch & ETL jobs to ingest and process data from multiple data sources
• Experience with NoSQL databases (e.g. Cassandra, MongoDB, Neo4J, ElasticSearch)
• Experience with querying tools (e.g Hive, Spark SQL, Impala)
• Experience with Power BI
• Experience or willingness to go in real-time stream processing, using solutions such as Kafka, AWS Kinesis, Flume, and/or Spark Streaming
• Experience or willingness to learn about DevOps and DataOps principles (e.g Infrastructure as Code, automating different parts of the data pipeline)
• High-level understanding of Data Science concepts and methodologies (how models are built, trained, and deployed)
• You are passionate about technology and continuous learning comes naturally to you

We will be prioritizing applicants who have a current right to work in Singapore, and do not require sponsorship of a visa.

MORE ABOUT PALO IT:

We’re eager to adapt to change, learn from our experiences and move to meet our planet’s urgent needs. We are continuously taking action to:

• Become a climate net-zero company
• Attain 50% of revenue from projects with a positive impact
• Train 100% of our workforce on impact
• Achieve B Corp certification among all our offices across the globe
• Continuously measure & improve employee happiness

Our clients are amongst the world's most successful companies. We innovate with both established Fortune 1000s, SMEs and start-ups who aim to make an impact, become global leaders and address the world's most complex challenges.

What We Offer

• Stimulating working environments
• Unique career path
• International mobility
• Internal R&D projects
• Knowledge sharing
• Personalized training

For more on our team culture and benefits, check out our careers page.

PALO IT Singapore is an equal opportunity employer. Employment decisions will be based on merit, qualifications and abilities. Palo IT SG does not discriminate in employment opportunities or practices on the basis of race, colour, religion, sex, sexuality, national origin, age, disability, marital status or any other characteristics protected by law.

Protecting your privacy and the security of your data are longstanding top priorities for Palo-IT.

Your personal data will be processed for the purposes of managing Palo-IT’s recruitment related activities, which include setting up and conducting interviews and tests for applicants, evaluating and assessing the results, and as is otherwise needed in the recruitment and hiring processes.

Please consult our Privacy Notice to know more about how we collect, use, and transfer the personal data of our candidates. Here you can find how you can request for access, correction and/or withdrawal of your Personal Data.

Job Description:

Database Administrator (DBA) will be responsible for managing, monitoring, and optimizing database performance, space utilization, and overall health. The DBA will ensure efficient operation, implement automation where possible, and collaborate with internal teams to troubleshoot and resolve database-related issues. The role also includes overseeing backup and recovery plans, managing user accounts, and performing regular database maintenance and disaster recovery tests.

Key Responsibilities:

· Manage and monitor database storage, space utilization, table extents, and growth, alerting the team to potential capacity or performance bottlenecks, and providing recommendations.

· Setup and manage user accounts, access rights, privileges, roles, and profiles.

· Plan and perform database backup and recovery.

· Review daily logs, database alerts, database export logs, and scheduled job logs.

· Plan and perform regular database housekeeping and maintenance to maintain optimal performance.

· Manage scripts and database object deployment.

· Review, propose, and execute database reorganization, upgrades, and improvements for better throughput and performance.

· Perform fault and performance monitoring and troubleshooting.

· Manage database patching and ensure all systems are up to date.

· Collaborate with internal teams to identify and resolve database-related issues.

· Document and maintain comprehensive database server administration guides and SOPs.

· Conduct annual disaster recovery tests for selected databases.

· Perform yearly backup and restore exercises to validate the integrity of long-term backups.

Requirements:

· Minimum of 5 years of experience in MS SQL database administration.

· Microsoft Certified Solution Associate (MCSA): SQL Database Administration certification.

· Minimum of 3 years of experience in Oracle Database administration.

· Experience with Azure and AWS RDS databases.

· Oracle Database Administrator Certified Professional (OCP) certification

About this role

We are looking for a Senior Data Engineer who will be the first hire dedicated to data engineering within our multi-manager hedge fund. This is a unique opportunity for someone who thrives in a zero-to-one environment, where you’ll be responsible for building and scaling our data infrastructure from scratch. The ideal candidate is passionate about data architecture and is excited to lead the effort to establish robust data systems that support both operational and investment decision-making.

Key Responsibilities

• Architect, develop, and deploy scalable data pipelines to support a multi-manager trading strategy.
• Design and manage both structured and unstructured data systems from diverse sources.
• Ensure the availability, reliability, and integrity of the firm’s data assets.
• Collaborate with portfolio managers, analysts, and developers to understand data needs and translate them into technical solutions.
• Implement data quality measures, monitoring systems, and anomaly detection for continuous improvement.
• Provide guidance on data management, governance, and best practices across the organization.
• Lead data-related projects and contribute to the strategic roadmap for the company’s data engineering capabilities.
• Act as a mentor to junior engineers as the team grows.

Requirements & Qualifications

• Proven experience in building data systems from scratch (zero-to-one experience highly valued).
• Strong knowledge of data modeling, ETL pipelines, and data warehousing techniques.
• Programming proficiency in Python, Scala, or Java.
• Hands-on experience with SQL and NoSQL databases.
• Experience with big data tools (Hadoop, Spark, Kafka) and cloud platforms (AWS, Azure,GCP).
• Familiarity with data orchestration tools like Airflow.
• Knowledge of financial data systems is a strong plus.
• Minimum 7+ years of data engineering experience, preferably in financial services or trading environments.
• Strong ability to work independently and collaborate with cross-functional teams.
• A Bachelor’s degree in Computer Science, Engineering, or a related field.
• Self-driven with a strong sense of ownership & bias for action.• Being a team player is key. We are a small but growing team, and we believe in building an environment that fosters a sense of belonging for all of our employees.
• Be present at the office at least 4 times a week.

Nice-to-Haves

• Exposure to machine learning pipelines and advanced analytics.
• Familiarity with Bloomberg API or other financial market data sources.
• Experience with data visualization tools (Tableau, PowerBI).

Job Description:

We are seeking a skilled and experienced Database Administrator (DBA) to oversee, manage, and optimize database servers, with a focus on both MS SQL and Oracle databases. The ideal candidate will have a strong background in database administration, automation of tasks, and experience with cloud databases, specifically Azure and AWS RDS. The role involves ensuring optimal database performance, managing user accounts, and performing backup and disaster recovery operations.

Key Responsibilities:

Database Monitoring and Management:

Monitor database storage, space utilization, table extents, and growth.

Alert and report potential performance issues or capacity bottlenecks, providing recommendations for improvement.

User Account and Access Management:

Setup and manage user accounts, access rights, privileges, roles, and profiles.

Backup and Recovery:

Plan and execute database backup and recovery processes.

Conduct an annual backup and restore exercise for databases backed up more than six (6) months ago.

Log and Alert Review:

Review daily logs, database alerts, database export logs, and scheduled job logs.

Database Maintenance:

Schedule and perform regular database housekeeping and maintenance activities to ensure optimal performance.

Manage scripts and database object deployments.

Performance Optimization:

Propose and implement database reorganizations and upgrades to enhance system throughput.

Perform fault and performance monitoring, responding to alerts with first-level troubleshooting when required.

Patch Management:

Manage database patching processes.

Collaboration and Issue Resolution:

Work with internal teams and external suppliers to identify and resolve database-related issues.

Documentation:

Maintain and update database server administration guides and Standard Operating Procedures (SOPs).

Disaster Recovery:

Perform annual database disaster recovery tests on selected databases as determined by the Customer.

Minimum Requirements:

Experience:

• At least five (5) years of experience in MS SQL administration.
• At least three (3) years of experience in Oracle Database administration.
• Minimum of three (3) years of exposure to Azure and AWS RDS databases.

Certifications:

• Microsoft Certified Solutions Associate (MCSA): SQL Database Administration.
• Oracle Database Administrator Certified Professional (OCP).

Preferred Skills:

• Strong understanding of database performance tuning and optimization.
• Excellent problem-solving skills with the ability to respond to database alerts and perform troubleshooting.
• Experience with database automation and scripting.
• Knowledge of cloud database solutions and services on Azure and AWS.

Key Competencies:

Analytical Skills: Ability to assess database performance and provide effective recommendations.

Collaboration: Work effectively with internal and external teams to resolve issues.

Attention to Detail: Maintain precise and accurate documentation for database administration.

Mandatory skill: Azure and AWS RDS, MSSQL, Oracle

We believe that effective risk management will help us safely navigate the volatile and complex business and regulatory environments to achieve success. In Income, our Risk Management and Compliance Departments drive risk management and compliance agenda, ensure sound and effective risk management and compliance framework and promote risk culture. We work in close partnerships with our business and other stakeholders to achieve the desired business and risk outcomes. We stay relevant and therefore, getting better and sharper at what we do is the constant. We are looking for a pro-active individual and a strong team player, who wants to grow with Income, to join us.

Description for Internal Candidates

You will play pivotal role within Risk and Compliance Innovation team and partner with the leadership team across the Risk and Compliance Departments to support the Chief Risk Officer to achieve the risk and compliance goals of Income. In your role, you will be responsible for:

• Developing models and data analytics capabilities to strengthen risk insights in monitoring key risk profiles.
• Identifying emerging trends or potential threats and supporting business strategies through data-driven analysis.
• Working closely with the Risk Management and Analytics Centre of Excellence, supported by a group of data science teams within Income, to enhance risk management effectiveness. This will be done through:Reviewing areas that are best supported by technology
  Greater use of analytics in evaluation
  Development and usage of meaningful key risk indicators
  
• Implementing or being involved in the implementation of changes and conducting necessary training.
• Providing high-quality and insightful reports to board and management.
• Assisting in the development and maintenance of quantitative risk models, including involvement in stress testing and capital allocation models to support ORSA reporting and annual risk appetite reviews.
• Implementing and maintaining data pipelines and workflows using tools like Kedro and AWS services (Redshift, S3) to ensure efficient data processing and analysis.
• Developing predictive models using machine learning techniques to improve risk assessment.
• Creating insightful dashboards and visualizations using Tableau to communicate complex risk information effectively.
• Collaborating with cross-functional teams to integrate data analytics outputs into risk management strategies and decision-making processes.

Qualifications

• Bachelor's/Master’s degree in Statistics, Financial Mathematics, Computer Science, or a related quantitative field.
• About 5 years of experience as a data analyst, preferably in a major insurance company or similar financial institution.
• Strong track record of using data mining and analytics to highlight risks and improve efficiencies.
• Proficient in Python and SQL, with experience using Jupyter Notebooks for analysis and model development.
• Knowledge of models and algorithms used for data analytics, including machine learning techniques.
• Experience working with large datasets in cloud environments (e.g., AWS Redshift).
• Familiarity with data pipeline tools such as Kedro.
• Strong expertise in data visualization and dashboard creation using business intelligence tools (Tableau, Power BI, Qlik, etc.).
• Understanding of financial risk management principles and familiarity with quantitative risk modelling concepts.
• Strategic mindset and strong analytical and problem-solving skills, able to consider risks/issues and implications to business holistically.
• Ability to analyse large datasets with attention to detail.
• Strong communication skills with the ability to explain complex or technical matters in a clear and concise manner.
• Excellent internal and external relationship-building skills.
• Ability to work effectively in a collaborative team environment

PALO IT is a global innovation and software development company dedicated to helping organizations craft tech as a force for good. We work with clients to rapidly launch products and services, create new business models, and prepare leadership and culture for the future. We are a community of innovators, designers and technologists across 16 offices and five continents (France, Hong Kong, Singapore, Thailand, Australia, Mexico, Colombia, Spain and the United States).

We're committed to helping businesses transform to better our world. We're proud to be a World Economic Forum (WEF) New Champion, and a B Corp-certified company in Singapore, Hong Kong and Mexico, currently working towards certification across all other locations.

YOUR ROLE:

The Data Scientist will design, build and execute machine learning techniques on large, complex, structured / unstructured data sets to find out hidden patterns and predictive signals. You will research and develop innovative solutions to deliver impact to our clients, contributing to bring intelligence in their digital mesh with the support of other Palo IT experts in Data Intelligence, Research, UX Design, Digital Technology and Agile teams.

YOUR RESPONSIBILITIES:

• Identify use cases allowing to take advantage of GenAI & Machine Learning capabilities
• Define data science approaches that fit with clients’ business challenges, using state-of-the-art methods to solve problems of large dimensionality in a computationally efficient and statistically effective manner. Examples include:
• Understanding a business problem
• Data Collection
• Data Preparation (cleaning, transformation, feature engineering)
• Model Training and Experimentation
• Model Evaluation
• Deployment
• Build advanced algorithms, using statistical knowledge and machine learning techniques to identify trends, patterns and predictive signals on large data sets
• Communicate algorithms results, limits and potential for improvement in a meaningful way
• Evaluate third party datasets and emerging technologies (e.g. LLMs, AI Agents, latest developments in Neural Networks) that may contribute to better results
• Collaborate with clients and other PALO IT practices to build a comprehensive end-to-end approach, gathering the relevant labelled data and features for ML algorithms into data-driven apps
• Participate in development of selected assets/accelerators that create scale
• Contribute to thought leadership through research and publication support
• Collaborate with cross-functional teams to productionize ML models
• Stay up-to-date with the latest data science and data engineering techniques and tools
• Provide technical leadership and mentorship to junior team members
• Deploy ML models into production (either alone or working with data engineers if necessary)
• Be a member of presales team to propose solutions for client opportunities

WHO YOU ARE:

• You hold a Bachelor, Master or PhD degree in Computer Science, Statistics or related discipline. Strong academic performance with analytic and quantitative coursework preferred
• 3-5 years of working experience
• Good knowledge of supervised/unsupervised machine learning techniques and algorithms
• Good applied skills with statistical programming languages such as R, Python (NumPy, pandas), SAS, SPSS etc.
• Experience with machine learning frameworks (e.g scikit-learn, Spark MLlib, Caffe, TensorFlow) and/or data science platforms (e.g. SAS, Dataiku)
• Experience of ML and LLM libraries and tools such as MLFlow, Langchain to develop GenAI applications, model experimentation and basic UI development with libraries such as Gradio or Streamlit.
• Experience with No-Code/Low-Code GenAI tools such as Langflow, Flowise, Rivet
• Data-oriented background in SQL, data wrangling and data modelling
• Exposure to data visualization tools and/or charting libraries (eg. Tableau, Qlik, D3.js, GGplot)
• Ability to apply advanced data science techniques such as deep learning, reinforcement learning, NLP to develop client solutions
• Willingness to be part of a multi-disciplinary team to develop end-to-end solutions for real world business problems
• Familiar with deploying Data projects into cloud (for example, Azure, AWS, GCP)

MORE ABOUT PALO IT:

We’re eager to adapt to change, learn from our experiences and move to meet our planet’s urgent needs. With 2025 as our horizon, we are taking action to meet the following objectives:

• Become a climate net-zero company
• Attain 50% of revenue from projects with a positive impact
• Train 100% of our workforce on impact
• Achieve B Corp certification among all 16 of our offices across the globe
• Continuously measure & improve employee happiness

Our clients (https://www.palo-it.com/en/case-study) are amongst the world's most successful companies. We innovate with both established Fortune 1000s, SMEs and start-ups who aim to make an impact, become global leaders and address the world's most complex challenges.

WHAT WE OFFER:

• Stimulating working environments
• Unique career path
• International mobility
• Internal R&D projects
• Knowledge sharing
• Personalized training

For more on our team culture and benefits in Singapore, check out our careers page (https://www.palo-it.com/en-sg/careers)

PALO IT Singapore is an equal opportunity employer. Employment decisions will be based on merit, qualifications and abilities. Palo IT SG does not discriminate in employment opportunities or practices on the basis of race, colour, religion, sex, sexuality, national origin, age, disability, marital status or any other characteristics protected by law.

Protecting your privacy and the security of your data are longstanding top priorities for Palo-IT.

Your personal data will be processed for the purposes of managing Palo-IT’s recruitment related activities, which include setting up and conducting interviews and tests for applicants, evaluating and assessing the results, and as is otherwise needed in the recruitment and hiring processes.

Please consult our Privacy Notice (https://www.palo-it.com/en/privacy-policy) to know more about how we collect, use, and transfer the personal data of our candidates. Here you can find how you can request for access, correction and/or withdrawal of your Personal Data.

• Entry ~ Junior level
• Bachelor’s degree in Mathematics, Engineering, Business, Science, Computing, or any numerical fields
• Location: North Bridge Road
• Monday - Friday; 9 AM - 6 PM
• Salary: $3,500 - 3,800

Job Summary

We are seeking candidates with a strong quantitative background and the ability to think creatively. You will develop new methods of data collection using Python and other data-related tools. Additionally, you will be involved in scripting, sampling, and data processing for various research studies.

Key Responsibilities

You will be part of a team involved in the following activities:

• Designing and managing data tools
• Developing new data collection methods
• Improving existing survey interface designs
• Scripting survey questionnaires with logic implementation
• Studying survey software and developing new scripts
• Processing research data using software with syntaxes and codes
• Designing quantitative samples based on client requirements
• Monitoring quantitative fieldwork and adhering to project schedules and deadlines
• Coding open-ended (free text response) answers when required
• Performing quality checks and audits of survey implementations to ensure accuracy
• Creating highly actionable and digestible reports in PowerPoint

Requirements

• Bachelor’s degree in Mathematics, Engineering, Business, Science, Computing, or any other numerical field
• Candidates with market research (internship) experience are welcome
• Strong appetite for learning new data tools
• Openness to change and innovation
• Familiarity with Python is desired
• Basic competency in SPSS, R, and data visualization tools is preferred
• Knowledge of any survey software is an added advantage
• Ability to work with ambiguity and perform under pressure
• High level of precision in work

Interested candidates please apply online or send your latest CV to [email protected]

Kindly note that only shortlisted candidates will be notified.

Triton AI Pte Ltd

Registration Number: R23118389

EA: 21C0661

Are you a Senior Data Analyst with a proven track record of delivering clear business impact through data? We’ve been looking for you!

The data team at Kape is building a world-class, data-driven culture to empower our employees with timely, accurate information to drive their decision making.

In this role you will make a huge impact, influencing business decisions relating to millions of customers every day. You’ll work with great people on projects across the company, and play a pivotal role in supporting strategic business initiatives through data analysis, experimentation and development of metrics and dashboards.

What you’ll be doing

As a Senior Data Analyst, you will:

• Act as a strategic partner working in cross functional teams to grow the extent of data-driven planning and decision making in specific areas, specialising in Retention and Marketing analytics.
• Lead complex projects to turn data into insights, predictions, and actionable recommendations, delivering clear business value to your cross functional teams in their business challenges.
• Deliver impactful insights and recommendations using compelling visualizations in user-friendly dashboard designs.
• Help to design and analyze A/B experiments to improve retention outcomes.
• Work in partnership with Data Engineers and Analytics Engineers to define requirements for foundational datasets that can support downstream analytics and reporting.
• Drive optimization and efficiency in all you do and challenge the status quo for the team’s processes'.
• Contribute to the planning & execution of Retention Pillar analytics growth within the organisation - as a group of people, as a partner within cross functional teams and as an enabler to support others to self-serve their data and insight needs.

Who we’re looking for

If this sounds like you, please get in touch!

• Are passionate about data and using it to influence business decisions.
• Have 5+ years of experience in a Senior Data Analyst / Business Intelligence Analyst role.
• Adept at integrating with the business to truly understand their business challenges, defining how data can help and integrating it at the earliest opportunity to increase data driven decision making.
• Have strong business acumen and a business-first approach to problems.
• Have a track record of delivering clear business value from data through fit for purpose and actionable insights.
• Are an excellent communicator and use storytelling to bring insights to life and make connections on the business level.
• Have outstanding analytical skills - from unearthing valuable insights through querying data to creating compelling visualisations for ease of understanding.
• Are organized and able to lead complex projects with multiple user stories and dependencies.
• Have extensive experience in designing, executing and evaluating A/B experiments - able to provide recommendations on next steps through iterations of the tests.
• Strong problem-solving skills and ability to think out of the box.
• Strong stakeholder and management skills
• Thrive on uncovering synergies and efficiencies in your work, the work of the team, and beyond.
• Seek a fast-paced environment where you will make an instant impact.
• Want to work alongside other intelligent and passionate people
• You are fluent in English.
• High proficiency in SQL and/or other querying languages.
• Hands on experience in PowerBI

Nice to have, but not required

• Data science experience (e.g.predictive analytics, machine learning).
• Training / mentoring experience relating to data: Can be with team members or across business units and their data use.
• You are comfortable talking technology and communicating with developers on technical topics.

What we can offer you

• Challenging work in a fun and collaborative environment
• Attractive compensation and time-off benefits
• Spacious open-concept and centrally located offices
• Financially successful and profitable company
• Full-time employment with flexible working hours
• Fully stocked pantry with healthy foods and fresh fruit
• Team lunches and company events every quarter
• Multicultural teams represented by 30+ nationalities

WHO WE ARE:

Build. Scale. Sustain.

PALO IT is a global technology consultancy that crafts tech as a force for good. We design, develop and scale digital and sustainable products and services to unlock value across the triple bottom line: people, planet, profit. We do the right thing, and we do it right. We're proud to be a World Economic Forum New Champion, and a B Corp-certified company.

• We are small enough to care locally, big enough to deliver globally (5 continents, 18 offices, +650 experts from +50 nationalities)
• We are robust and resilient (100% independent and 0 debt)
• We are entrepreneurs and passionate experts: We invest in what we believe genuinely and work as a collective intelligence
• We are positive, courageous, caring, doers and committed to excellence

YOUR ROLE:

The Senior Data Engineer will work on acquiring, storing, governing and processing huge sets of structured / unstructured data. You will bring a vision of the big data solutions landscape for choosing optimal architecture components to use for these purposes as well as a set of data engineering skills for implementing enterprise data foundations such as data lake. Finally, you will work closely with other PALO IT experts in Data Intelligence, Research, UX Design, Digital Technology and Agile teams to enable intelligence in the digital mesh of our clients and deliver big impact to them.

YOUR RESPONSIBILITIES:

• Design, implement, and maintain robust and scalable data pipelines to ingest, transform, and process structured and unstructured data from various sources.
• Build and manage data warehouses and data lakes, implementing efficient data storage and retrieval mechanisms. Design data models that support business requirements and analytics use cases.
• Leverage cloud platforms (e.g., AWS, Azure, GCP) to design and deploy scalable data infrastructure, optimizing for performance, cost-effectiveness, and reliability.
• Implement data quality checks, validation processes, and data governance frameworks to ensure data accuracy, integrity, and compliance with security standards.
• Continuously monitor and optimize data pipelines and infrastructure to improve processing speed, reduce latency, and enhance overall system performance.
• Work collaboratively with data scientists, analysts, and other stakeholders to understand their data needs, provide technical expertise, and deliver solutions that meet business objectives.
• Support business users by implementing data presentation layer including data visualisation using tools like Tableau, PowerBI etc.
• Stay up-to-date with emerging technologies and industry trends in the big data and data engineering space, evaluating and implementing innovative solutions to improve data processing capabilities.
• Support the definition and optimization of underlying data infrastructure

WHO YOU ARE:

• You hold a Bachelor's, Master's, or Ph.D. degree in IT, Information Management, and/or Computer Science with at least 6 years of experience.
• Good knowledge of the big data technology landscape and concepts related to distributed storage/computing
• Experience with big data frameworks (e.g. Hadoop, Spark) and distributions (Cloudera, Hortonworks, MapR)
• Experience with batch & ETL jobs to ingest and process data from multiple data sources
• Experience with NoSQL databases (e.g. Cassandra, MongoDB, Neo4J, ElasticSearch)
• Experience with querying tools (e.g Hive, Spark SQL, Impala)
• Experience or willingness to go in real-time stream processing, using solutions such as Kafka, AWS Kinesis, Flume, and/or Spark Streaming
• Experience or willingness to learn about DevOps and DataOps principles (e.g Infrastructure as Code, automating different parts of the data pipeline)
• High-level understanding of Data Science concepts and methodologies (how models are built, trained, and deployed)
• You are passionate about technology and continuous learning comes naturally to you

We will be prioritizing applicants who have a current right to work in Singapore, and do not require sponsorship of a visa.

MORE ABOUT PALO IT:

We’re eager to adapt to change, learn from our experiences and move to meet our planet’s urgent needs. We are continuously taking action to:

• Become a climate net-zero company
• Attain 50% of revenue from projects with a positive impact
• Train 100% of our workforce on impact
• Achieve B Corp certification among all our offices across the globe
• Continuously measure & improve employee happiness

Our clients are amongst the world's most successful companies. We innovate with both established Fortune 1000s, SMEs and start-ups who aim to make an impact, become global leaders and address the world's most complex challenges.

What We Offer

• Stimulating working environments
• Unique career path
• International mobility
• Internal R&D projects
• Knowledge sharing
• Personalized training

For more on our team culture and benefits, check out our careers page.

PALO IT Singapore is an equal opportunity employer. Employment decisions will be based on merit, qualifications and abilities. Palo IT SG does not discriminate in employment opportunities or practices on the basis of race, colour, religion, sex, sexuality, national origin, age, disability, marital status or any other characteristics protected by law.

Protecting your privacy and the security of your data are longstanding top priorities for Palo-IT.

Your personal data will be processed for the purposes of managing Palo-IT’s recruitment related activities, which include setting up and conducting interviews and tests for applicants, evaluating and assessing the results, and as is otherwise needed in the recruitment and hiring processes.

Please consult our Privacy Notice to know more about how we collect, use, and transfer the personal data of our candidates. Here you can find how you can request for access, correction and/or withdrawal of your Personal Data.

Our client is a reputable large ICT organisation. We are sourcing on behalf of our client for a Data Engineer experience in cloud-based data engineering work. The seniority level depends on your depth of experience.

Responsibilities:

• Translate data requirements from business users into technical specifications.
• Architect and build ingestion pipelines to collect, clean, merge, and harmonize data from different source systems.
• Monitoring of databases and ETL systems such as database capacity planning and maintenance.
• Construct, test, and update useful and reusable data models based on data needs of end users.
• Design and build secure mechanisms for end users and systems to access data in data warehouse.
• Research, propose and develop new technologies and processes to improve agency data infrastructure.
• Maintain data catalogue to document data assets, metadata and lineage.
• Implement data quality checks and validation processes to ensure data accuracy and consistency.
• Implement and enforce data security best practices i.e. access control, encryption, and data masking, to safeguard sensitive data.

Requirements:

• A Bachelor’s Degree in Computer Science, Software Engineering, Information Technology, or related disciplines.
• Deep understanding of system design, data structure and algorithms, data modelling, data access, and data storage.
• Experience in using cloud technologies such as AWS, Azure, and Google Cloud.
• Experience in architecting data and IT systems.
• Experience with orchestration frameworks such as Airflow, Azure Data Factory.
• Experience with distributed data technologies such as Spark, Hadoop.
• Proficiency in programming languages such as Python, Java, or Scala.
• Proficiency in writing SQL for databases
• Familiarity with building and using CI/CD pipelines.
• Familiarity with DevOps tools such as Docker, Git, Terraform.
• Experience in designing, building, and maintaining batch and real-time data pipelines.
• Experience with Databricks.
• Experience with implementing technical processes to enforce data security, data quality, and data governance.

Job Description

· Answering telephone call, taking messages, receiving incoming faxes and mails

· Coordinate internal and external meetings with business partners, shareholders, clients, suppliers and others

· Manage diary for Management/employees including meetings, conferences, video conferences and other events and reminding them of important tasks and deadlines

· Receiving office guests to meeting room and arrange food catering (if needed)

· Coordinate travel arrangements, including booking flights, visa, car rental and hotel accommodations, travel itineraries and completing expense reports for reimbursement after the trip.

· Perform general research work including preparation of background documents (e.g., preparation of presentation slides, drafts of simple correspondences, and background information for appointments; consolidate relevant data; generate reports, etc.).

· Establish, maintain, and ensure the timely update of the correspondence filing systems (both hard and soft copies)

· Liaise, draft, comment, review, edit and send contracts and agreements on behalf of Management (if needed)

· Assist with general administration support such as processing correspondence and letters, photocopying, printing, scanning, typing, couriers, maintaining contact databases, post and others

· Office maintenance (including pantry ordering) and repair

· Perform any other ad hoc duties where required

Job Requirement

- Excellent communication skills in English

- Ability to work independently combined with excellent interpersonal skills

- Strong organization, problem solving and time management skills

- Proficient in Microsoft office skills

- Ability to handle sensitive business data and other information with confidentiality and discretion

- Must be comfortable in a fast-paced international environment with multiple languages & time zones

Reporting to: Head of Finance

Roles and Responsibilities

· Lead and implement new and advanced end-to-end solutions in order to support the Head of Finance on Data Analytics requirements.

· Able to leverage on advanced data analytics skills, finance and accounting fundamentals to provide both descriptive insights on business performance and perform predictive modelling for tactical and strategic purposes.

· Build and maintain financial models to support business decision making

· Stay abreast of the latest developments in Generative AI and large language models, assess the suitability of application within the function

· Execute the Data Analytics strategy within the finance function

· Take ownership to build/transform the decision-making process that is data-driven

Requirements

· More than 5 years relevant experience in the financial industry, preferably with knowledge in Futures and Options, OTC derivatives, securities and fixed income products.

· Master or equivalent in Data Science / Computing. Candidates with equivalent academic qualifications in other disciplines but able to showcase keen interest and aptitude in data analytics are welcome to apply.

· Good analytical skills with the ability to link financial numbers with business activities.

· Preferably with finance and accounting knowledge.

· Good understanding of latest technology.

· Good knowledge of programming languages including python, scripting and VBA etc. Understand database design and database structures languages such as SQL.

· Good written and verbal communication skills.

· Strong team player and good inter-personal skills.

Responsibilities:

· Data Pipeline Development: Develop and maintain data pipelines that extract, transform, and load (ETL) data from various sources into a centralized data storage system, such as a data warehouse or data lake.

· Data Integration: Integrate data from multiple sources and systems, including databases, APIs, log files, streaming platforms, and external data providers.

· Data Transformation and Processing: Develop data transformation routines to clean, normalize, and aggregate data. Apply data processing techniques to handle complex data structures, handle missing or inconsistent data, and prepare the data for analysis, reporting, or machine learning tasks.

· Contribute to common frameworks and best practices in code development, deployment, and automation/orchestration of data pipelines.

· Implement data governance in line with company standards.

· Partner with Data Analytics and Product leaders to design best practices and standards for developing and productionalising analytic pipelines.

· Partner with Infrastructure leaders on architecture approaches to advance the data and analytics platform, including exploring new tools and techniques that leverage the cloud environment (Azure, Databricks, others).

· Monitoring and Support: Monitor data pipelines and data systems to detect and resolve issues promptly. Develop monitoring tools, alerts, and automated error handling mechanisms to ensure data integrity and system reliability.

Requirements:

· Proven experience as a Data Engineering role (3 years +), with a strong track record of delivering scalable data pipelines.

· Extensive experience designing data solutions including data modelling is required.

· Extensive hands-on experience developing data processing jobs (PySpark / SQL) that demonstrate a strong understanding of software engineering principles is needed.

· Experience orchestrating data pipelines using technology like ADF, Airflow etc is necessary.

· Experience working with both real-time and batch data is important.

· Experience building data pipelines on Azure is crucial. AWS data pipelines will be beneficial.

· Fluency in SQL (any flavour), with experience using Window functions and more advanced features is required.

Understanding of DevOps tools, Git workflow and building CI/CD pipelines is essential.

Nice to Have:

· Domain knowledge of commodities, covering Sales, Trading, Risk, Supply Chain, Customer Interaction, etc. is highly desirable.

· Familiarity with Scrum methodology and experience working in a Scrum team can be advantageous. This includes understanding of Scrum roles, events, artifacts, and rules, and the ability to apply them in a practical context.

· Experience with streaming data processing technologies such as Apache Kafka, Apache Flink, or AWS Kinesis can be beneficial. This includes the ability to design and implement real-time data processing pipelines.

Responsibilities and Duties:

· Undertake data management and verification in accordance to the requirements of COMIT.

· In-charge of timely data collation and quarterly report submission, as well as generate reports, in accordance to the requirements of COMIT programme.

· Assist in documentation and tracking of key performance indicators and targets.

· Provide administrative or logistical support to the team in running client-related support and/or other COMIT activities.

· Liaise with relevant organizations and healthcare providers to coordinate referrals for COMIT Programme.

· Organizes the logistics &/or resources to ensure the smooth running of COMIT activities and services.

· Provide secretariat support for workgroup meetings and presentations.

· Assist in coordinating and planning outreach and engagement events with other community partners and agencies.

Job Requirements:

· Bachelor’s degree in any discipline.

· Minimum 2-3 years of working experience in project management.

· Able to work independently and deliver in a timely manner.

· Demonstrate strong analytical and problem-solving skills.

· Task driven team player with strong interpersonal and communication skills (verbal and written).

· Proficient in Microsoft Office applications, in particular, Microsoft Excel.

· Experience in community and/or healthcare settings would be advantageous.

Find Your Dream Job With Us

WE ARE HIRING !! Apply now and make a difference

Role: Data Engineer

Job Title: Senior Data Engineer

Job Requisition Number: JR30694

Job Level: More than 10 years of relevant experience (L4)

Location: Singapore

Key Skills: AS400, Hadoop, Data Lake, SQL, Informatica

Job Objectives:

Work in Data Lake integration.

Key Responsibilities:

Design, develop, and implement data processing pipelines to process large volumes of structured and unstructured data

Should have good knowledge and working experience in Database and Hadoop (Hive, Impala, Kudu).

Should have good knowledge and working experience in scripting using (Shell script, awk programming, quick automation to integrating any third party tools), BMC monitoring tools
Good understanding and knowledge in Data Modelling area using industry standard data model like (FSLDM)

Collaborate with data engineers, data scientists, and other stakeholders to understand requirements and translate them into technical specifications and solutions
It will be good to have experience in working with No SQL as well as virtualized Database Environment

Implement data transformations, aggregations, and computations using Spark RDDs, DataFrames, and Datasets, and integrate them with Elasticsearch
Develop and maintain scalable and fault-tolerant Spark applications, adhering to industry best practices and coding standards
Troubleshoot and resolve issues related to data processing, performance, and data quality in the Spark-Elasticsearch integration
Monitor and analyze job performance metrics, identify bottlenecks, and propose optimizations in both Spark and Elasticsearch components

Prior experience in developing banking application using ETL, Hadoop is mandatory. In depth knowledge of technology stack at global banks is mandatory.

Flexibility to stretch and take challenges

Communication & Interpersonal skills

Attitude to learn and execute

Key Requirements:

· 7+ years of AS400, RPG, CLP & SQL

· Knowledge of Aldon Change Management System(ACMS) is a must·

· Experience in developing Hadoop

· Experience in data lake (integration of different data sources into the data lake)

· SQL Stored Procedures/Queries/Functions

· Unix Scripting

· Experience with distributed computing, parallel processing, and working with large datasets

· Familiarity with big data technologies such as Hadoop, Hive, and HDFS

· Job Scheduling in Control-M

· Strong problem-solving and analytical skills with the ability to debug and resolve complex issues

· Familiarity with version control systems (e.g., Git) and collaborative development workflows

Excellent communication and teamwork skills with the ability to work effectively in cross-functional teams

Please forward your resume in MS word format to [email protected] and

[email protected]

Please refer your friends for any IT openings as we have various positions.

Please do not send PDF Format Resume . Send the following details

1. Notice period

2. Current Salary

3. Expected Salary

4. Visa Status in Singapore

5. Current Location

At Jacobs, we push the limits of what’s possible to make the world smarter, more connected and more sustainable. In our built environment work, that means designing spaces that foster innovation, cultivate collaboration and drive the next great discovery for humanity.

Bring your creativity, collaborative spirit and extreme attention to detail, and we’ll help you grow, pursue and fulfill what drives you – so we can deliver extraordinary solutions for a better tomorrow, together.

We would like to welcome a Senior/Lead Design Engineer to be part of our Data Center Business, based in our Singapore office. Main duties:

• Manage all technical aspects of designs for assigned projects, and implement, where appropriate, the latest (or as governed by contract) International and National Standards, Codes of Practice, software and requirements of ‘good engineering practice' for all work performed.
• Responsible for the execution of assigned work; meeting the Company's contractual obligations and the Client's needs and expectations, on time, and within budget.
• Ensure direct, effective, and timely communications of project requirements, routine reporting and sharing important information to Management, Heads of Department, the Project Manager, and all supervised staff, conducting routine and working meetings as appropriate. Follow up to ensure a clear understanding.
• Develop Project Execution Plan (PEP) using input from all discipline lead engineers. Revision, modification, and issuance of procedures related to the projects based on contracts.
• Adhere to the Company Quality Management System, HSE requirements, policies and procedures.
• Ensure adherence to Scope of Work and Design Basis Memorandum; identify variations in a timely manner, whether initiated by the Client or internally.
• Participate in meetings with the Project Manager, Client and third parties, to communicate specifications, construction scope of work, calculations, data sheets, material requisitions, etc.
• Participate in quality audits in cooperation with the QA/ QC Representative.
• Provide input, cost, technical considerations and capabilities in tender or contract to project manager or manager of projects.
• Perform the squad check of documents and drawings of other disciplines, reviewing all the interfaces to be coordinated, as required per contract and project requirements.
• Involvement during Tender Management & preparation of Bids, when needed.

To be a successful candidate, you shall possess a minimum Degree in Engineering, with a minimum of 5-6 years of relevant experience in Data Center projects. Singapore's local project experience is crucial.

Jacobs. A world where you can.

From our inclusive employee networks, to our positive mental health champions – we’re committed to driving a culture of caring where you can be you. Joining Jacobs not only connects you locally but globally - and together, our diverse perspectives and unique backgrounds power our collective strength. We collaborate and share! By supporting one another, we all succeed.

With safety and flexibility always top of mind, we’ve gone beyond traditional ways of working so you have the support, means and space to maximise your potential. You’ll uncover flexible working arrangements, benefits and opportunities to do good too – from participating in our global giving and volunteering program, to exploring new and inventive ways to help our clients make the world a better place. No matter what drives you, you’ll discover how you can cultivate, nurture and achieve your goals – all at a single global company.

Please note: If you are being represented by a recruitment agency you will not be considered, to be considered you will need to apply directly to Jacobs.Jacobs complies with the Tripartite Guidelines on Fair Employment Practices (TGFEP), including the prevailing guidelines on recruitment. All qualified applicants will be considered for the position regardless of age, race, religion, language, nationality, marital status, or family responsibilities.

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