We are looking for a Data Control engineer with experience in Data management, Good knowledge in writing queries to extract the data, automate the report generation through reporting tools .

Requirements:

1.Understand the data requirements from various departments

2.Extract data from database by writing queries and share the reports with the stakeholders

3.Automate the frequently used data reports using the Reporting tool and provision the secured access to stake holder on the reports

4.Manage Database backup and restore

5.Ensure data security

6.Capacity planning and Database finetuning from time to time to increase DB performance

Roles:

• To perform daily backup monitoring and take action to have recovery solution in place.
• To Manage the database availability and performance, including incident and problem management.
• To work with Major Incident Management (MIM) team to resolve and co-ordinate high critical issues.
• To carry out periodical production patch and upgrade management.
• To work closely with users and vendors to take timely and appropriate steps to resolve and troubleshoot issues impacting service levels.
• To Identify opportunities for process improvements, automation, and efficiency gains in database operations.
• To Implement best practices and innovative solutions to enhance system reliability and performance.

Preferred Qualifications:

• Diploma/Degree in Computer Science or Engineering equivalent.
• At least 2-4 years of relevant working experience as a Database Administrator or relavant engineering experience within similar capacity operations.
• Must have familiarity with at least 2 database SAP tools,SQL, ...
• Experience in 24x7 support for critical production systems, scheduled maintenance, and release deployment activities.
• Excellent problem solving skills.
• Good Software application experience.

Key Responsibilities:

• Design and implement algorithms to process and analyze large-scale datasets.
• Build, fine-tune, and optimize large-scale models using frameworks such as LoRA (Low-Rank Adaptation) and DeepSpeed.
• Collaborate with cross-functional teams to integrate AI workflows using AIFlow.
• Develop and optimize data pipelines and workflows using Apache Spark.
• Write and execute complex SQL queries to analyze structured and unstructured data.
• Perform exploratory data analysis (EDA) and create insightful visualizations.
• Develop and maintain Python-based scripts and applications for data processing and automation.
• Work with large-scale datasets to ensure data quality and integrity.
• Document processes and findings to support informed decision-making.

Requirements :

• Knowledge or academic experience with algorithms and their implementation.
• Hands-on experience with frameworks such as LoRA, DeepSpeed, or similar AI tools (academic or project-based experience is acceptable).
• Familiarity with Spark and distributed data processing techniques.
• Proficiency in SQL for data analysis and querying.
• Programming skills in Python, with a focus on data manipulation libraries (e.g., Pandas, NumPy).
• Understanding of handling large data volumes and related optimization techniques.
• Exposure to data visualization tools like Tableau, Power BI, or Matplotlib.
• Basic knowledge of machine learning frameworks such as PyTorch or TensorFlow.
• Familiarity with data versioning tools and workflow orchestration frameworks.
• Strong analytical thinking and problem-solving abilities.

Disclaimer: The company is committed to ensuring the privacy and security of your information. By submitting this form, you consent to the collection, processing, and retention of the information you provide. The data collected (which may include your contact details, educational background, work experience and skills) will be used solely for the purpose of evaluating your qualifications for the position you're applying for. Your data will be stored securely and retained for the duration necessary to fulfill our hiring process. If you are not selected for the position, your data will be kept on file for a limited period in case future opportunities arise. You have the right to access, correct, or delete your data at any time by contacting us at Quess Singapore | A Leading Staffing Services Provider in Singapore (quesscorp.sg)

• 5+ years of Data consulting experience, or other relevant experience in AI & Analytics domain, with a proven track record of building and maintaining client relationships
• Collaborate with customers and account partners to identify new Data and AI opportunities, and build proposals and pitch materials to position as a trusted partner for AI & Data transformation
• Organize and lead educational and ideation AI and Generative AI workshops for customers
• Understand customer's needs and assess their data maturity
• Evaluate and recommend appropriate data pipelines, frameworks, tools and platforms
• Lead data feasibility studies and PoC projects to demonstrate the value and viability of Data and AI solutions
• Develop end to end AI PoC projects using Python, Flask, FastAPI and Streamlit
• Have experience in cloud services of AWS / GCP / Azure to deploy PoCs and pipelines
• Have experience with big data frameworks on prem and on cloud
• Collaborate with AI architects and engineers to data scientist and develop Data and AI solutions tailored to the clients’
• requirements
• Lead integration and deployment of data and AI products
• Stay updated with the latest advancements in big data and GenAI along with best practices to develop thought leadership and PoV
• Work with cross-functional team and partners to develop/ enhance and package AI offerings and assets for customer-facing discussions
• In-depth understanding of big data technologies, streaming applications and data modelling

ENGIE understands the integrated role of facility management and the value of it can be expanded beyond the traditional approach. As a total FM, specialized engineering and sustainable real estate solutions service provider, ENGIE offers a comprehensive range of technical, digital and support services customisable to best suit your unique needs.

Responsibilities:

Responsible for supporting the operation and maintenance of the M&E Services (e.g power, cooling, space and asset inventory) within the Data Center in a 24/7 mission critical environment for two sites.

• Provide leadership and guidance to teams and responsible for the performance of the team and delivery of Service Level Agreement
• Oversee the day-to-day operation and manage a team of engineers and to be on standby with 24/7 on-call emergency response and availability.
• Maintaining M&E Services infrastructure and coordinating with vendors.
• Manage and plan for MEP preventive, corrective, and predictive maintenance.
• Manage and plan for annual shutdown.
• Manage expenses and P&L.
• Prepare monthly reports and conducts meetings
• Manage contractors and projects.
• Manage client enquiries and requests.
• To obtain and maintain management system certifications, including but not limited ISO 9001 Quality Management Systems, ISO 14001 Environmental Management Systems, ISO 27001 Information Security Management, ISO 45001 Occupational Health and Safety Management Systems and bizSAFE Star certification within 2 years from Commencement Date.
• To review and approve maintenance master plan for planned preventive maintenance, cyclical parts replacement, major maintenance and overhaul works.
• To act as the 2nd level of escalation for ensuring that Employer's call for attendance to Incident is answered within the duration stipulated.
• To review, approve and submit Incident report with root cause analysis as stipulated under Schedule 8 within the duration stipulated.
• To review the quality of documentation submitted for raising Request For Change.
• To review, approve and submit quotations for corrective maintenance, Additions & Alterations and ad-hoc works as requested.
• To review turnaround time and quality of corrective maintenance, Additions & Alterations and ad-hoc works as requested.
• Perform any other adhoc duties.

Requirements:

• Minimum 8 years data center facilities experience.
• Operational experience with critical facility equipment/ system that includes but not limited to transformers, generators, DRUPS, UPS, PDU, Chiller System, CRAH and Fire System.
• Good customer management and communication skills.
• Responsible and accountable for profit and loss of the sites.
• Work independently with minimum of supervision.
• Strong written and verbal communication skills; must communicate effectively and in a professional manner.
• Plans and tracks preventive maintenance plan, cyclical maintenance plan and other related events closely.
• Analytical and problem-solving skills.
• Good organizational skills with the ability to maintain all facility related documentation. Detailed and careful in submissions and reporting.
• Proficient in Microsoft Office.

About Ampol Trading & Shipping

Our purpose at Ampol is to power better journeys today and tomorrow. Our Trading and Shipping team is key to achieving this, not only supplying our customer’s needs today, but evolving as the energy transition takes place to supply our customers well into the future.

We take pride in our people and value innovation, sustainability, and customer satisfaction. If you’re a professional committed to excellence, Ampol is looking for you.

About the role

This position will be responsible for working with large and disparate data sets, internal and external, quantitative, and qualitative, structured and unstructured to support the management of data across the entire data lifecycle. This role requires a combination of technical expertise, leadership skills and strong focus on data governance practices to ensure the successful delivery of the Data Product Roadmap.

The data engineer brings expert understanding of data and modern data processing technologies to prepare and deliver data assets which support high priority projects.

This position is a part of theData Product Team, which is responsible to delivering on the prioritised T&S Data roadmap to meet strategic objectives. aligned to the Trading & Shipping organisation.

Key responsibilities

• Working with the key stakeholders to define data requirements for projects

• Perform data acquisition/ingestion from internal and external sources, including both structured and unstructured data sources (incl. multi-dimension data, text/documents, geospatial data and graph)

• Performing descriptive analytics and data visualisation to share data insights or validate data with stakeholders. Prepare data quality reports

• Develop data transformations and modelling to prepare data sets for consumption for various end uses including reporting or advanced analytics.

• Develop and maintain productionised data outputs/products to support ongoing uses

• Working in a highly agile and flexible environment to deliver outputs in short time frames

• Document technical specifications of data pipelines and technical products delivered

• Develop working understanding of Ampol systems, data, and uses, as a data SME

• Data Strategy and Planning- Continuously develop and enhance Ampol data strategy and architecture and roadmap to ensure alignment to business requirements and overall company vision.

• Data Exploration and Analysis- Explore data to identify patterns, trends and insights. Perform quantitative and qualitative analysis to answer specific business questions and to gain a deeper understanding of data.

• Data Pipeline Development- Build and maintain data pipelines to move and transform data from various sources into Snowflake with assurance that data ingestion is reliable, scalable and optimized for performance.

• Data Modelling and Design- With requirements from business, design and implement data models within Snowflake, including schema design, table structures and data partitioning to support high performance, low latency querying and analytics.

• Data Quality and Integrity- Enforce data quality checks and validation during data ingestion process to ensure accuracy and integrity of data in Snowflake.

• Support Continuous Improvement in Data Product- Support the Commercial Analytics in advancing continuous improvement in the data space, including team engagement to generate awareness of initiatives and track progress.

• Monitoring and Maintenance- Proactively monitor data pipelines and the overall health of Snowflake data infrastructure to identify and resolve issues.

• Automation and Orchestration- Automate data workflows and orchestrate data processes to minimize manual intervention and improve operational efficiency.

• Collaboration with Data Users- Work closely with data analysts, data engineers, and business users to understand their data requirements and provide necessary data support.

Capabilities

• Big Data Engineering – familiarity in designing and developing data processes on cloud based big data platforms

• Data Quality – experience in managing data quality controls to support the completeness and accuracy of data

• Strong understanding of data structures and designing conceptual, logical and physical data models

• Understanding of Information Management, Data Governance, Data Security and Privacy concepts (covered by respective Ampol policies)

Qualifications & experience

• Tertiary qualifications in Computer Science or similar.

• Qualifications or experience in mathematics or statistics highly regarded

• 2+ years of industry experience working as a data engineer to develop data products using SQL, Python, and Spark

• Data modelling experience including ETL

• Data quality management

• Experience with a range of Data platforms (Hadoop, Spark, SQL Databases)

• Experience performing descriptive analytics and developing data visualisation (Power BI, Tableau, Shiny, etc)

• Experience working to support advanced analytics products is desirable

Skills & Knowledge

• Expertise in SQL, Python, and Spark

• Experience with Snowflake (3–7 years) and data pipeline management

• Proficiency in data modeling, relational databases, and query optimization

• Strong understanding of git flow and version control systems

• Knowledge of data governance and data quality principles

• Effective communication and ability to collaborate with cross-functional teams

• Tertiary qualification in Data Analytics or related field

• Strong problem-solving skills and ability to deliver valuable data insights

• Ability to adapt to changing priorities and learn new technologies quickly

• Experience in downstream oil or petroleum trading (desirable)

• Familiarity with advanced analytics, machine learning, and big data technologies

• Working knowledge of Docker, Kubernetes, and noSQL technologies

• Self-motivated with a focus on continuous improvement and innovation

At Ampol, we’re committed to creating a workplace where everyone feels valued and respected. We embrace and celebrate diversity in all its forms, recognizing that it makes our organization stronger. We encourage applications from people of all ages, backgrounds, identities, and experiences. We invite you to bring your whole self to Ampol.

Want to take your career to the next level? Apply today. 

Eduquest International Institute is a Registered Training Provider by SkillsFuture Singapore (SSG) to offer high quality, industry-relevant skills-based training programmes leading to the Singapore Workforce Skills Qualifications (WSQ).

We provide ample opportunities for all our staff to upskill and reskill during their tenure with us.

We are looking for passionate trainers who can train and assess candidates in Data Visualisation Tools and Techniques, Including Emerging tool Google Data Studio

Requirements:

• Familiar with emerging Data Visualisation Tools and Techniques from a business analytics context.
• Able to train with effective presentation skills on insights and trends by organizing and consolidating graphs into dashboards. Examine insights with stakeholders and interpret analytics with subject matter experts by designing Interactive visualizations with dashboard control and parameters.
• Familiar with digital methods of learning, including Synchronous and Asynchronous e-learning and e-assessment
• Min 3 years experience in relevant field
• He/she should have a relevant polytechnic diploma or higher qualification (Minimum ICT polytechnic diploma or higher qualification in ICT)
• ACLP or ACTA is a must.
• Rate: per day basis

If you have what it takes to be an awesome trainer, please write to us!

Job Summary

We are looking for a Data Analyst to assist the analytics delivery team and support the various Business Units within Data Management Office for a reputed bank.

Mandatory Skill-set

• Minimum Master/bachelor’s degree in Analytics, Computing, or a related discipline;
• 3 years of experience in analytics or data engineering field preferably in banks or the financial industry;
• Good knowledge of data analytics concepts & techniques, including data architecture, data transformation, data modeling, and visualization;
• Experience in database management namely MySQL, Oracle or others;
• Possess good analytical skills and problem-solving skills;
• Able to conduct issue investigation and root cause analysis;
• Strong communication skills and team player; able to work with business stakeholders directly on requirements gathering or issues investigation;
• Proficient in MS Excel, MS Word, and MS PowerPoint.

Desired Skill-set

• Big Data platforms such as Hadoop, Hive, Impala, Oozie, etc;
• Analytics tools such as Qliksense, Power BI, etc;
• Banking products and processes.

Responsibilities

• Work with the respective business functions to understand and analyze their analytics needs;
• Conduct necessary data sourcing and profiling to understand relevant data sources and structure;
• Propose and design the appropriate end-to-end analytics solution including data modeling, data transformation, and visualization;
• Assist and coordinate the relevant project activities including project planning, workgroup meetings, user training, and support;
• Prepare the relevant project documentation including functional specifications, testing cases, project demos, and user training materials;
• Provide necessary support to businesses on data issues investigation and ad-hoc data requests.

Should you be interested in this career opportunity, please send in your updated resume to [email protected] at the earliest.

When you apply, you voluntarily consent to the disclosure, collection and use of your personal data for employment/recruitment and related purposes in accordance with the SCIENTE Group Privacy Policy, a copy of which is published at SCIENTE’s website (https://www.sciente.com/privacy-policy).

Confidentiality is assured, and only shortlisted candidates will be notified for interviews.

EA Licence No. 07C5639

TikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and its offices include New York, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.

Why Join Us

Creation is the core of TikTok's purpose. Our products are built to help imaginations thrive. This is doubly true of the teams that make our innovations possible. Together, we inspire creativity and enrich life - a mission we aim towards achieving every day. To us, every challenge, no matter how ambiguous, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always. At TikTok, we create together and grow together. That's how we drive impact-for ourselves, our company, and the users we serve. Join us.

Team Introduction

TikTok Business Integrity team is at the core to power monetization drive for TikTok on a global scale. The team builds the foundation to safeguard our advisement platform and use cutting-edge technologies to bring the most value to our users as well as business partners. In Singapore, we commit to uphold the integrity of the platform by taking advantage of human insights to know more about advertisers and use signals to optimize the tradeoff between risk and advertiser experience.

Responsibilities

- Work with large, complex data sets. Solve difficult, non-routine integrity analysis problems, applying advanced analytical methods as needed. Conduct analysis that includes data gathering and requirements specification, processing, analysis, ongoing deliverables, and presentations.

- Build and prototype analysis pipelines iteratively to provide insights at scale.

- Develop comprehensive knowledge of Tiktok data structures and metrics, advocating for changes where needed for product development.

- Interact cross-functionally, making business recommendations (e.g., cost-benefit, forecasting, experiment analysis) with effective presentations of findings at multiple levels of stakeholders through visual displays of quantitative information.

- Research and develop analysis, forecasting, and optimization methods to improve the quality of TikTok ads products.

Minimum Qualifications

- Master's degree or PhD in a quantitative discipline (e.g., Statistics, Operations Research, Economics, Computer Science, Mathematics, Physics) or equivalent practical experience.

- 5+ years of relevant work experience, including expertise with statistical data analysis such as linear models, multivariate analysis, stochastic models, sampling methods.

- Experience with statistical software (e.g. R, Python, MATLAB) and database languages (e.g. SQL)

- Demonstrated leadership and self-direction. Willingness to both teach others and learn new techniques.

- Demonstrated skills in selecting the right statistical tools given a data analysis problem. Effective written and verbal communication skills.

Preferred Qualification

- Maintain curiosity about new things, and have a strong sense of responsibility, integrity and reliability.

TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.

Responsibilities:

• Collaborate with data scientists, coders, programmers and other stakeholders
• Creating and managing the AI development process and general infrastructure of a product
• Doing statistical analysis and interpreting findings
• Automating critical tasks and procedures for a data science team
• Creating data transformation infrastructure
• Developing AI models communicating the utility of the AI models they generate to a diverse range of employees inside the organisation, including product managers and management executives
• Exposing machine learning models via APIs with which other apps may interact
• Work on API and integrate systems.

Requirements:

• Master / Bachelor’s degree in computer science, computer engineering, or relevant field.
• Minimum of 4+ years’ experience in a similar role.
• Strong knowledge of Datawarehouse / database / Cloud systems and data mining would be preferred.
• Excellent organizational and analytical abilities.
• Outstanding problem solver.

Thanks,

Rajkumar

EA Licence Number: 23C2060 Registration ID is R1983662

Responsibilities:

• Design and implement systems to consolidate and analyze diverse, unstructured data, delivering actionable insights for management.
• Develop software, algorithms, and automated processes to cleanse, integrate, and evaluate large datasets.
• Collaborate with business experts to enrich data and uncover insights for actionable solutions.
• Automate repetitive tasks to enhance efficiency and reduce manual efforts.
• Create visualizations to clearly communicate findings to stakeholders.
• Stay informed on trends in data science, machine learning, and AI.
• Assist Global IFF Business Control with projects and tasks as required.
• Handle administrative and ad-hoc duties assigned by the HOD.

Requirements:

• Minimum diploma in Data Science, Statistics, Computer Science, Mathematics, or a related field.
• At least 1-2 years of experience in a data science role.
• 1-2 years of working experience in a similar industry is preferred
• Proficiency in programming languages such as Python, R, SQL, and PowerShell, with experience in data manipulation and analysis libraries.
• Experience with data visulization tools (e.g., PowerBI) and the ability to effectively communicate complex analysis results to non-technical stakeholders.
• Strong problem-solving and analytical thinking skills, with the ability to translate business questions into data-driven solutions.
• Proficiency in Microsoft tools and applications.

Interested candidates who wish to apply for this position, please send in your resume to [email protected]

We regret only shortlisted candidates will be contacted. All applications will be handled confidentially. By submitting your application, you agree to the collection, use, retention, and disclosure of your personal information to prospective employers.

Wecruit Pte Ltd

EA License No: 20C0270

We are seeking a motivated and capable Senior Data Analyst to help drive Data/Business Intelligence initiatives.

The Senior Data Analyst is responsible for extracting meaningful insights from extensive datasets to inform data-driven business decisions. Strong understanding of data analysis, statistical methods, and data visualization is required, and this position involves working with cross-functional teams, contributing to the development of data infrastructure, and ensuring data quality and integrity.

RESPONSIBILITIES:

● Data Extraction and Management: Extract and transform data from various sources, ensuring data accuracy, consistency, and reliability. Cleanse data and identify/rectify coding errors. Develop and maintain data pipelines and data models for analyses.

● Data Analysis and Reporting: Analyze large datasets to identify trends, patterns, and anomalies, using statistical techniques and data visualization. Develop and maintain dashboards and reports to track Key Performance Indicators (KPIs). Generate regular and ad-hoc reports, collaborating with stakeholders to meet their reporting needs.

● Insights and Recommendations: Cleanse and interpret complex data to provide actionable business insights. Translate data findings into operational and strategic improvements, developing recommendations to streamline processes, improve efficiency, and contribute to overall success.

● Collaboration and Communication: Work with cross-functional teams, including business analysts, data engineers, and other stakeholders. Collaborate with management to align business and informational priorities. Communicate analytical findings and insights to both technical and non-technical stakeholders.

● Data Governance: Contribute to advancing transition toward a more data-driven culture. Abide and adhere to data governance policies in servicing data extraction or report requests, metrics and dashboards. Assess adherence to data quality standards and data governance initiatives.

● Project Management: Manage projects to ensure results are measurable, actionable, and aligned with stakeholder goals.

● Consultation: Provide professional consultation services.

● Process Improvement: Identify opportunities for process optimization and stay informed on the latest trends and advancements in data analytics. Continuously evaluate and refine existing data processes and methodologies.

REQUIREMENTS:

● Bachelor's degree in any STEM-related disciplines

●Certification(s) in any modern data visualisation platform

●2-5 years of experience working in a data analyst role, preferably in the healthcare industry

●Proven experience wrangling large datasets and in using data visualization tools such as Tableau or Power BI

●Proficiency in programming languages (Python, SQL) is essential

●Strong understanding of statistical methods and concepts such as hypothesis testing, regression analysis, and classification techniques.

●Experience with the ETL process and machine learning techniques would be advantageous

Our Company

Gentco Logistics is a leading international liquid chemical logistics provider with three core business units: chemical tankers (5th largest fleet globally), chemical tank containers (2nd largest fleet globally), and terminal storage tanks. Our global headquarters are in Shanghai, China, supported by a regional headquarters in Singapore and 40 operational offices across six continents. Gentco Logistics is wholly owned by the Junzheng Group (ticker 601216.SH).

The Opportunity

The Senior Data Engineer position is a part of the Global IT Department, which is directly overseen by the Group’s CIO. Our team currently comprises over 60 IT, software, and data professionals primarily based in Shanghai and Moerdijk (the Netherlands). With our IT presence in Singapore rapidly expanding, we are excited to invite you to join our team! As a Senior Data Engineer in our Singapore office, you will have the unique opportunity to join a newly established data engineering team while being supported by our existing data engineering talent in Shanghai and Moerdijk. This role offers excellent career progression as you will take on a pivotal role in establishing and growing a local team in Singapore.

Job Responsibilities:

· Take ownership of the implementation and maintenance of critical pieces of our Azure ETL pipeline and data warehouse (ADF/DBT/Apache Airflow/AKS/Databricks)

· Assist in the maintenance of an existing data infrastructure (Azure SQL MI)

· Assist in the design and architecting of ETL/ELT pipelines, data schemas/models, and data marts for business users.

· Ensure the reliability and availability of core data infrastructure with proper monitoring and alerting systems to guarantee continuous data delivery to the business.

· Take ownership of data quality and governance. Collaborate with business and IT teams to establish and meet data standards, including developing automated data checks and data quality monitoring dashboards.

· Promote a culture of organizational learning by facilitating knowledge sharing and implementing best practices in documentation.

· Stay updated with current industry best practices and trends, and evaluate technical decisions at a business level.

· Provide leadership, guidance, and oversight to junior data engineers.

Requirements:

· Bachelor's or Master's degree in Computer Science or a related engineering field from a technical university.

· 4+ years of experience in data engineering

· 2+ years of experience with Azure data infrastructure (e.g. ADF, DBT, AKS, IaC).

· 1+ year of experience with Agile/DevOps tools (Git, Jira).

· Deeply knowledgeable of data warehousing best practices, especially in the Azure cloud environment, with a strong commitment to staying current with industry trends and future advancements.

· Thoroughly familiar with the relevant trade-offs within different data modelling schemas (e.g. 3NF, star, snowflake, data vault) and storage architectures (e.g. data warehouse, data lake, data lakehouse)

· Highly motivated, with a proactive approach to project ownership and accountability for outcomes and timelines. Committed to continuous personal growth and development within the organization.

· Fluency in both written and spoken English and Mandarin is highly desirable to effectively liaise with Chinese-speaking clients and counterparts, understanding their technical requirements.

Desirable skills

· Proven experience with cloud infrastructure at a global scale, with knowledge of navigating global data regulations at a technical level.

· Experience with master data management using modern MDM tools, ideally at a global scale and/or in a cloud environment.

· Background in the shipping/maritime or chemicals industry.

· Previous leadership experience as a lead engineer.

· Experience with PowerBI and Plotly.

Your future position

Kpler provides the most comprehensive tracking of commodity flows in dry bulk, and we are rapidly expanding it. Our portfolio covers critical commodities that are integral to global energy and food security, such as thermal coal and grains, those essential for industrialization, including iron ore, metallurgical coal, and aluminium as well as the energy transition (copper and nickel).

As part of our market data operations team, you'll play a vital role in driving the advancement of our offerings. Your contributions will be instrumental in ensuring our clients receive accurate and reliable data, empowering them to navigate intricate market dynamics and capitalise on emerging opportunities with confidence.

Your mission is to:

•Own Quality: Take charge of specific regions and product groups and ensure the highest standard of data quality, by reviewing internal constraints and ingest data from external sources.

•Continuous improvement: Identify technology and process improvements to efficiently and effectively process data and improve data accuracy of our seaborne flows.

• Monitor market news and developments, to first extract meaningful patterns and detect new trends and then support our product managers by providing evidence to improve business rules and algorithms.

• Draft fast-response analysis to ad-hoc requests from clients (emails, chats, video calls and in person meetings) and assist the sales and customer success teams in meeting clients’ data needs and optimise client engagement by adding further improvements to our internal system.

It could be a good fit if..

• You have 2 - 5 years of experience working with large, disparate and/or unstructured data sets (advanced Excel and SQL skills and Python knowledge would be a plus).

• You have proven experience integrating data and ease with working with databases.

•You have experience working with some of the following tools: JIRA, Postman, Tableau, Appsmith, Rundeck, Slack.

• You show willingness to learn, are a team player, quick learner, and able to work within short deadlines across multiple tasks

• You have the ability to work and communicate in an international cross-cultural environment, with a strong focus on providing solutions

• You are comfortable working with ambiguity and uncovering answers to complex product development questions

• Prior experience in shipping and trading, or knowledge of dry bulk commodities is a Plus! Strong interest is a prerequisite.

Job Description

Key Responsibilities:

Works in project teams as subject matter expert to design and develop program methods to consolidate and analyze structured and unstructured, diverse "big data" sources

Performs ad-hoc statistical and data-mining analysis , using statistical tools like R, SAS and MATlab; input and design of data acquisition systems, data structure and database design.

Interfaces with internal customers for requirements analysis and compiles data for scheduled or special reports and analysis, create visualization and dashboards using Tableau

Works in project teams to develop analytical models, algorithms and automated processes, applying SQL understanding and PHP or Python programming, to cleanse, integrate and evaluate large datasets.

Supports the timely development of products for manufacturing and process information by applying sophisticated data analytics, understands the business data gathering processes of the business. Find opportunities for building models using machine learning techniques to solve business problems

In the framework of our Smart Factory initiative, we are looking for a data scientist that will help us better utilize the information hidden in vast amounts of data and help us make faster and smarter decisions to deliver even better value to our business Manufacturing operations. Primary focus will be in applying data mining techniques, doing statistical analysis, and building high quality prediction systems integrated with our systems. The role will be about understanding the business constraints, applying those to the raw data coming from our SAP and other systems, creating alerts and predictive analysis, and finally creating the right visualization and dashboards for the various user communities.

Functional Knowledge

• Demonstrates conceptual and practical expertise in own discipline and basic knowledge of related disciplines

Business Expertise

• Has knowledge of best practices and how own area integrates with others; is aware of the competition and the factors that differentiate them in the market

Leadership

• Acts as a resource for colleagues with less experience; may lead small projects with manageable risks and resource requirements

Problem Solving

• Solves complex problems; takes a new perspective on existing solutions; exercises judgment based on the analysis of multiple sources of information

Impact

• Impacts a range of customer, operational, project or service activities within own team and other related teams; works within broad guidelines and policies

Interpersonal Skills

• Explains difficult or sensitive information; works to build consensus

Skills and Qualifications

• Good communication skills
• Minimum 3 years’ experience in similar roles
• Proficiency in using query languages such as SQL
• Good practical experience with data lake like Hadoop
• Experience with data visualization tools, such as Tableau, etc.
• Good applied statistics skills, such as distributions, statistical testing, regression, etc.
• Good knowledge in deploying AI and/or ML models, and understanding of machine learning techniques and algorithm
• Data-oriented personality

ENGIE Services Singapore is a leading provider of Integrated Facilities Management solutions (IFM), property management, operations and maintenance, specialized rail engineering works, sustainable solutions and FM Consultancy services. With strong presence in various counties across South East Asia, we operate across mission-critical industries - aviation, transportation, healthcare, education, government and commercial.

ENGIE understands the integrated role of facility management and the value of it can be expanded beyond the traditional approach. As a total FM, specialized engineering and sustainable real estate solutions service provider, ENGIE offers a comprehensive range of technical, digital and support services customisable to best suit your unique needs.

Job Description:

• Monitor, maintain and coordinate the operations of data centre electrical/ mechanical infrastructure and building monitoring systems.
• Conduct daily site inspections, record readings and data logging of data centre equipment to ensure proper operation and checklist verification.
• Provide 24X7 first level onsite response to any M&E incident accordingly to contractual obligation.
• Perform troubleshooting of mechanical and electrical equipment malfunctions and perform ad-hoc repair as and when necessary.
• Report operations abnormality and perform escalation with follow-up on improvement plan promptly.
• Create quotation, work orders, coordinate vendor/supplier repairs/replacement on the data centre sites.
• Adhere to data centre operations work rules, policies and procedures that include but not limited to emergency operating procedures (EOPs), emergency drill procedures, standard operation procedures (SOPs), methods of procedures (MOPs) incident management, maintenance management, vendor management and document control standards.
• Maintain proper documentation and service reports are filed and submitted to customers for auditing and tracking purposes.
• Plan the annual master planned preventive maintenance schedules and provide guidance for addition to, deletion or modification of existing maintenance routines.
• Maintain and monitor the appropriate key performance indicators (KPIs) and external service level agreements (SLA's) to measure and improve onsite operations
• Oversee the execution of planned maintenance works performed by appointed vendors/subcontractors to ensure maintenance meets satisfactory level and are in accordance with the signed contract agreement.
• Provide onsite support to customer requests, incidents, can change and problem management activities.
• Manage and handle ticket management and queue monitoring.
• Schedule weekly meetings with customer and its appointed subcontractors with proper minutes taken to review and discuss service levels, operational issues as well as planning for future work.
• Prepare customer weekly progress report and track status of deliverables.
• Prepare incident report accordingly to contractual service level agreement.
• Support yearly performance review session with customer.
• Coordinating all changes to the DC infrastructure that may affect the service levels of any other service areas within the DC premises.
• Accountable for all site inventory management such as tools, test equipment, replacement parts, materials, spare parts and consumables used and sorted at the site.
• Adherences to all quality, health & safety, environmental policies and customer house riles.
• Perform any other ad-hoc tasks associated with the maintenance, upgrading, repairs, addition or modification of the facilities, as instructed by the management.
• Ensure that all information security management system related policies, procedures and specified requirements are implemented and complied to.
• Any other tasks as assigned by the supervisor.

Requirements:

• At least a Post Graduate Diploma in Engineering (Electrical/Electronic), Engineering (Industrial), Engineering (Mechanical) or equivalent
• Minimum 3 years Data Centre facilities experience
• Operational experience with critical facility equipment/ system that includes but not limited to transformers, generators, DRUPS, UPS, PDU, Chiller System, CRAH and Fire System
• Work independently with minimum of supervision
• Analytical and problem-solving skills
• Good organizational skills with the ability to maintain all facility related documentation. Detailed and careful in submissions and reporting
• Proficient in Microsoft Office
• Has a good safety mindset and displays good WSH behaviour

We are seeking a dynamic Data Engineer (Python) to join our growing global team, Recommendations domain to work on exciting projects like implementation of our own machine learning framework, integrating a feature store for supporting real-time data science requirements and the creation of complex data ingestion pipelines to support this!

Join us in creating an engaging and personalized shopping experience for our users. Every feature and improvement you develop will enhance customer choice and app performance, making it easier for users to find and enjoy the products they love. Your work will have a lasting impact on customer satisfaction and loyalty across diverse markets.

Responsibilities

• Ingesting first and third-party data sources into our databases.
• Curating and maintaining high-quality data assets so our data scientists can make informed decisions and create better products.
• Collaborating with cross-functional teams to deliver high-quality data assets.
• Deploying and maintaining ML models on our deployment framework.
• Architecting, defining, and building data pipelines to enable faster, better, data-informed decision-making.

• 5+ years of AI and Data consulting experience, or other relevant experience in AI & Analytics domain, with a proven track record of building and maintaining client relationships
• Collaborate with customers and account partners to identify new AI opportunities, and build proposals and pitch materials to position as a trusted partner for AI & Data transformation
• Organize and lead educational and ideation AI and Generative AI workshops for customers
• Understand customer's needs and assess their AI maturity
• Evaluate and recommend appropriate AI frameworks, tools and platforms
• Lead AI feasibility studies and PoC projects to demonstrate the value and viability of AI solutions
• Develop end to end AI PoC projects using Python, Flask, FastAPI and Streamlit
• Have experience in cloud services of AWS / GCP / Azure to deploy AI products
• Collaborate with AI architects and engineers to design and develop AI and Generative AI solutions tailored to the clients’ requirements
• Lead integration and deployment of AI solutions into customers’ existing infrastructure
• Stay updated with the latest advancements in AI and Generative AI technologies, trends and best practices and develop thought leadership and PoV on AI
• Work with cross-functional team and partners to develop/ enhance and package AI offerings and assets for customer-facing discussions
• In-depth understanding of AI technologies, including machine learning, deep learning, and generative AI techniques (such as generative adversial networks (GANs), variational autoencoders (VAEs), etc.)

Job Summary:

• Industry: Healthcare
• Location: Novena
• Work Schedule: 8:30am to 6pm (Mon to Thu) and 8:30am to 5:30pm (Fri)

Job Responsibilities:

• Support and work closely with the Chief Data Officer (CDO) to develop and implement the company’s Data Strategy for decision making purposes
• Develop, review and update data-related policies to ensure alignment with the national data policies
• Oversee the management and maintenance of the company platform for data request to facilitate data requests by staff.
• Put in place protocol that complies with relevant data access, sharing, and security policies.
• Serve as a point-of-contact to liaise with other institutions and external parties for data request as well as to contribute to the group analytics and digitalization effort.
• Develop and implement proper data assets management standard operating procedures and workflows across the Data Life Cycle from data acquisition, fusion, access and distribution, to disposal
• Collaborate with the relevant departments/units to build staff literacy, competency, capabilities, and knowledge in safe, efficient, and effective data exploitation and management on various platforms
• Oversee the secretariat support for departmental and hospital working committees to support digital transformation agenda and build communities of practice to share knowledge and best practices
• Lead change management, engagements, and communications with different levels of stakeholders, on issues pertaining to data management, data sharing, and data exploitation.

Job Requirements:

• Degree in Computer Science, Computer Engineering, Computing in Information Systems, Information Management or Management Information Systems or related fields
• At least 5 years of relevant working experience in business data management and governance with experience in developing data strategy
• Experience in handling compliance reviews or overseeing data management / IT systems is preferred
• Experience in data analytics is an added advantage
• Possess strong data and technological knowledge, covering recent topics such as data governance, data policies and data domains.

By submitting any application or résumé to us, you will be deemed to have agreed and consented to us disclosing your personal information to prospective employers for their consideration.

We regret that only short-listed candidates will be notified.

Registration No: R24123448 / EA Licence No: 12C6253

Our Company

Gentco Logistics is a leading international liquid chemical logistics provider with three core business units: chemical tankers (5th largest fleet globally), chemical tank containers (2nd largest fleet globally), and terminal storage tanks. Our global headquarters are in Shanghai, China, supported by a regional headquarters in Singapore and 40 operational offices across six continents. Gentco Logistics is wholly owned by the Junzheng Group (ticker 601216.SH).

The Opportunity

The Data Scientist/Quantitative Research position is a part of the Global IT Department, which is directly overseen by the Group’s CIO. Our team currently comprises of over 40 IT, software, and data professionals primarily based in Shanghai, Singapore, and Moerdijk (the Netherlands). With our IT presence in Singapore rapidly expanding, we are excited to invite you to join our team!

Job Responsibilities:

· Conduct rigorous, open-ended research to address complex business questions using diverse datasets, deriving actionable insights that provide a competitive edge for the company

· Develop and maintain high-quality datasets, integrating internal and external data sources to support advanced analytics and machine learning initiatives.

· Build and deploy AI/ML models to address a range of business needs, from operational automation to strategic decision-making, ensuring models are impactful and aligned with organizational goals.

· Analyze and prioritize the company's key challenges, applying the 80/20 principle to focus efforts on high-impact problems.

· Foster a culture of learning and innovation by documenting processes, results, and data products to ensure transparency, reusability, and organizational knowledge sharing.

Requirements:

· Strong analytical mindset with a proven ability to extract deep, non-obvious insights through persistent inquiry and statistically rigorous methods.

· Resourceful problem-solving skills with the ability to source and integrate diverse data types, even when datasets are incomplete or unavailable.

· Interest or experience in maritime logistics, demand planning, pricing strategies, or similar domains.

· A degree in statistics, mathematics, computer science, economics or similar fields from a leading university

· Professional fluency in English or Mandarin to facilitate effective communication across diverse teams.

Desirable Qualities:

· Academic research experience, particularly in areas relevant to logistics, operations research, or econometrics.

Qualifications

• 5 - 7 years of IT Security experience in administration and management of IT Security technologies primarily Endpoint Protection, Email Security and DLP, Data Classification and other endpoint & data security solutions;
• Knowledge of different domains of IT Security;
• Working & hands-on experience in administering the IT Security Solutions;
• Must have experience in working in similar Production setup in Run (Operations) mode;
• Ability to apply risk based approach while working on assigned responsibilities;
• Hands-on experience on Symantec Data Loss Prevention (DLP);
• Highly proficient overall security solutions like, Endpoint Protection, Email Security and Vulnerability Management;
• Deployment, integration and administration experience of various components of Symantec DLP:

- Symantec Endpoint Protect

- Symantec Web Prevent

- Symantec Email Prevent

- Symantec Enforce

• Experience in defining, designing and configuring DLP Policies as per the business requirements;
• Deploy, upgrade and troubleshooting knowledge on Symantec DLP solution;
• Deploy, Upgrade and troubleshoot on DAM Solutions like IMPERVA or Guardium
• Expertise knowledge in Email Security Solutions
• Hands-on to Expertise knowledge in MS Defender for endpoint and or Cloud.
• Scripting knowledge (Phyton, Regular Expression, Powershell) is desirable;
• Professional Certifications:
• CISSP certified
• Symantec Certified Expert: Administration of Data Loss Prevention (any version)

Next Step

• Prepare your updated resume and expected package.
• Simply click on 'Apply here' or email to [email protected] to drop your resume
• All shortlisted candidates will be contacted.

Tamanna Bilandi

EA Licence No. 91C2918

Personnel Registration No. R2096241

Established in 1973 with headquarters in Seoul, South Korea, Cheil Worldwide is one of the world’s leading integrated marketing communications networks, with more than 7,200 employees globally in more than 54 offices in 46 countries.

For more information, visit us at: www.cheil.com.

We are inviting candidates for the position of:

Data Analyst

The Data Analyst is experienced in online marketplace industry towards data analysis. He/She will be responsible for managing project with various form of data analytics from performance to competitor’s analysis.

He/She is a great communicator, loves being a team-player, passionate in digital data and leadership in developing the highest quality of deliverables.

Responsibilities

· Manage large volume of raw data by filtering, sorting, processing and analysing.

· Prepare and present compiled data into reporting format in accordance to client specification.

· Data discipline and ensuring accuracy.

· Manage campaigns performance and weekly competitor’s analysis reports.

· Understand and manage the concept of project own digital automation.

Requirements

· Proficient in Microsoft office and excellent in Excel (Vlookup, Pivots etc).

· Minimum 2 years’ experience in online marketplace industry.

· Experience in handling large volume of data.

· Experience in Adobe Analytics, GA4

· Able to create dashboards using data visualization platforms such as Looker Studio or Tableau

· Experience in livestream analytics

· Minimum Polytechnic Diploma/Bachelor’s Degree holder (or higher).

· Knowledge ecommerce operation in SEA marketplaces including but not limited to Lazada, Shopee, Amazon and eBay.

· Self-motivated, persistent, hardworking, team player and a committed individual.

· Effective communication (verbal and written); Good command of the English language.

· Knowledge and experience in Data Visualization tools (Tableau) or data driven marketing is a plus.

Manage new Data Center project execution from inception to delivery of hyperscale data centres with related activities for new builds and fit out projects (mainly in Japan, United States and Australia); eventually to be responsible for building strategic relationships with key clients, both externally and internally, and bolster the company's market position.

· Develop and manage detailed project plans, including scope, timelines, and resource allocation for Megaspeed strategic initiatives

· Collaborate with our top cloud and enterprise customers and communicate presentations on all aspects of design

· Oversee the entire project lifecycle, from conceptual design through construction and commissioning, ensuring timely and budget-compliant delivery.

· Manage relationships with internal and external stakeholders, ensuring clear and consistent communication throughout the project lifecycle

· Develop high level master planning, space planning and engineering solutions for potential new developments (feasibility stage)

· Coordinate technical aspects of direct procured equipment and facilitate alignment with the design team

· Understand commercial implications of engineering decisions and build cost models for customers

· Oversee to ensure Environment, Safety and Occupational Health implementation

· Leverage local subject matter expert's tribal knowledge, spread adoption of best practices

· Coordinate closely with data centre field operations to foster alignment and partnerships for business success

· Provide regular reporting, updates and presentations to senior management and internal stakeholders including progress reporting, risk assessments, investment committees, customer proposals and business case development

· Build and manage project scope, equipment requirements and assist with proposals and capital requests

· Must be familiar with data centre industry trends, best practices, and emerging technologies, incorporating them into designs and builds as appropriate

Job Description

Requirements:

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
• Proven experience as a Big Data Engineer or similar role.
• Strong proficiency in Apache Spark and Scala programming.
• Experience with big data technologies such as Hadoop, Hive, Kafka, etc.
• Familiarity with data warehousing concepts and tools.
• Knowledge of SQL and NoSQL databases.
• Excellent problem-solving skills and attention to detail.
• Strong communication and collaboration skills.

Preferred Qualifications:

• Experience with cloud platforms like AWS, Azure, or Google Cloud.
• Knowledge of machine learning frameworks and libraries.
• Experience with containerization and orchestration tools like Docker and Kubernetes.

EA Number: 11C4879

Working Hours: 24/7 shift basis

Shift Allowance: SGD 200/m

DC Ops Engineer is required to follow given policies, processes and procedures including, but not limited to :

• Monitoring procedures.
• Batch job review and recovery.
• Production error escalation.
• Backup and recovery management procedures.
• Disaster recovery procedures.
• Environmental Monitoring.
• Security Management.
• System and Network Monitoring.
• Production Control and Scheduling.
• System Backup, Recovery, Media and Offsite Management.
• User ID Management.

Monitoring of alert

Monitor any alert via email or monitoring application provide by CLIENT

Escalate all alerts received to the Tech Support or DPE / SDM

Raise Tickets and assigned to Tech Support

Backup Tapes

To load and unload backup tapes as per schedules

Sent backup tapes to offsite

Received tapes from offsite

Involve with DR exercise

Escort Duties

Perform escort duties for VENDOR to enter the datacentre

Physical Check

Perform datacentre physical check to ensure NO combustible items and all server racks are lock at all times

Server Reboot

Perform servers reboot as when is required by the Tech Support

EA License # 14C6941

Key Responsibilities:

• Monitor data center operations and systems to ensure peak performance.
• Conduct routine inspections and maintenance of equipment.
• Support the installation, configuration, and troubleshooting of hardware and software.
• Respond to alerts and incidents, performing diagnostics and problem resolution.
• Maintain accurate logs and documentation of technical issues and resolutions.
• Assist in capacity planning and performance tuning activities.
• Collaborate with other teams to ensure seamless operations and support.