POSITION OVERVIEW : Data Engineer cum PM(Dual Role)

POSITION GENERAL DUTIES AND TASKS :

Role and Responsibilities

a) Involve in various stages of the systems development life cycle; adopting waterfall, agile or hybrid development methodology. b) Involve in project planning and budgeting. c) Plan and lead project delivery. d) Involve in procurement (e.g. Call RFP/ITQ, evaluate and award to selected vendor). e) Manage and work closely with various stakeholders (e.g. end users, senior management and external vendor). f) Conduct user requirement gathering sessions for the development / implementation of new system or enhancements to existing systems. g) Manage project implementation, application testing, supporting application patches and upgrades are in accordance with project methodologies and policies. h) Manage project based on the project plan and timeline to meet identified business needs, within agreed parameter of cost, duration and quality. i) Mitigate project risks. j) Understand IT management policy, quality management policy and security guidelines to ensure the development processes, procedures and system are designed to comply with these policies and guidelines. k) Evaluate potential solutions and make recommendations to resolve business problems. l) Provide guidance and coaching to junior team members. m) Conduct end user training if required.

Requirements / Qualifications a) Degree/Master in Computer Science, Information Technology, Computer Engineering or equivalent. b) Seven (7) years’ experience in providing data warehouse or advanced analytics solutions. c) Minimal Four (4) years’ experience in project management. d) Thorough understanding of data warehouse concepts, dimensional design, and advanced analytics techniques. e) Experience in any Data Management, Business Intelligence or Advanced Analytics tools. f) Ability to manage/influence users, vendors and coordinate with multi-disciplinary teams. g) Strong analytical skills and ability to work independently, as well as in a team. h) Exposure to hospital information / clinical systems is an added advantage. i) AWS cloud experience is a must. j). Experience in Tableau Cloud, Informatica IDMC and Databricks projects is preferred.

Preferred Skills: • Experience in AWS Services focusing on data and architecting. • Knowledge of containerization and orchestration tools like Docker and Kubernetes. • Familiarity with data visualization tools like Tableau or Power BI. • Understanding of DevOps principles for managing and deploying data pipelines. • Experience with version control systems (e.g., Git) and CI/CD pipelines. * Knowledge of data governance and data cataloguing tools, especially Informatica IDMC.

Maltem Singapore is currently seeking a Business Data Analyst for our Wealth Management Client.

Summary:

Supporting the Data Governance project, you will be working with various internal teams and stakeholders to gather and understand data requirements, driving the implementation of broader data initiatives across the organization. This role will be crucial in ensuring that data solutions align with business objectives and enhance overall data quality and usability.

Responsibilities:

• Collaborate with business stakeholders and engineering teams to gather, understand, and translate data requirements for implementation in broader data initiatives.
• Implement scalable data processes that can be reused across similar known use cases and adapt to evolving business stakeholder demands.
• Work with internal engineering teams and external data vendors to resolve any technical data-related issues.
• Provide timely and effective support to end users, address any relevant data queries or issues encountered.
• Develop and maintain comprehensive documentation for data management activities (e.g, operating models, processes, implementation designs and user-acceptance test results).
• Monitor and report on the effectiveness of data initiatives, providing insights and recommendations for continuous improvement.
• Stay updated with the latest industry trends and best practices in data management.

Mandatory Requirements:

• Possess a degree in Computer Science/Information Technology or related fields.
• Experience and knowledge of Python.
• Proven experience in Data Management such as:
• Metadata
• Data Quality
• Data Discovery and support for enterprise-level data products.
• Good understanding of Financial Data and Data Management best practices.
• Demonstrate understanding of the complex Data Security and technical challenges faced by large, reputable organizations.
• Extensive knowledge and hands-on experience with SQL, including Data Storage and management in relational databases such as:
• Snowflake
• MsSQL
• Oracle PL/SQL
• Familiarity with leading Data Management trends and practices in the Financial Industry, including approaches to Data Quality and business-technology issues related to Data.
• Excellent analytical, communication, problem-solving and documentation skills.
• Ability to work independently and collaboratively as part of a team.

Good-To-Have:

• Certification in Data Management or Data Quality (e.g., DAMA, CDMP) will be advantageous.

About Filtrona

Filtrona is the only global, independent market leader in the design, testing and manufacturing of specialist filter solutions and related scientific services. With a head office in Singapore, Filtrona has 8 manufacturing facilities across Europe, America, and Asia, together with 2 innovation centres, an accredited laboratory and a Centre of Excellence focused on sustainability. The company has 2,000 employees serving customers across 120 countries.

Our purpose is to support partners to transform and benefit from business growth; we succeed when they succeed. Our mission is to be a responsible, customer-focused innovation leader creating excellence in sustainable solutions for today and tomorrow.

For more information, please visit www.filtrona.com

Role and Responsibilities

We seek a highly skilled and motivated Data & BI Lead to join our ERP Team on a 2-Year Contract basis. This person will report to Technology Director and is a subject matter expert and data champion, with previous experience and accountability of delivering scalable solutions and enterprise data models across business applications, reporting and analytics domains.

This individual will work closely with the Enterprise Architect, BI Analysts, Application and Data owners, taking ownership of the global data design and modelling activities in establishing robust dictionaries, data integration documentation, migration mapping, master and reference data landscapes within the existing architecture and transformational initiatives.

To be successful in this role the candidate will have the required technical experience coupled with appropriate project management experience to drive deliverables of data related projects. Further, the role requires active engagement with and management of 3rd party vendors to deliver projects as well as experience in managing internal stakeholders up to executive management level.

Functions and processes include:

• Data flow governance: Cataloguing of data objects and interfaces
• Master data and reference data modelling
• Data Warehousing and Integration design
• Migration planning and mapping
• Modern BI and Analytics architecture design and delivery
• Data flow accountability and responsible for ensuring data flowing through source systems, ERP and various platforms
• Target data architecture design supported by scalable environments, well-defined artefacts, data and interface catalogues, lineages, procedures, and standards collectively enabling seamless end-to-end orchestration and continuous delivery
• Provide guidance during capturing and translating business processes into physical data models, ensuring a scalable and extensible design is adhered
• In conjunction with business and technology transformation activities, define data platform capabilities aligned with current and future business models
• Oversight of data integration design and delivery initiatives including ingesting, transforming, staging, and consuming large amounts of structured and semi-structured data – both on- premises and on cloud – with knowledge of potential pain points

Key Skills & Qualifications Requirements

• Degree in IT, MIS, Data Science or Certification in Data Architecture / Data Engineering
• At least 8 to 10 years of experience in data architecture or related field
• A broad understanding of data environments, technologies, BI stacks, ETL and data visualization tools e.g. SQL Server, SQL Management Studio, SSRS, SSIS, SSAS, PowerBI, MDM experience
• Experience using and implementing hi-performing global data warehouses, data marts using MS Azure data components e.g. Data Factory, Azure Data Lake
• Proven experience in delivering end-to-end cloud data platform solutions using modern agile methodologies, data pipelines, serverless orchestration and CI/CD development processes
• Handed at least one major data modernizations engagement or been part of data transformation journey within an Enterprise.
• Experience operating with an engineering, agile and DevOps mindset
• Extensive experience of successfully and confidently engaging with senior stakeholders and being able to translate the key business drivers and requirements into Data Models and Solution Design
• Proven experience in working with, and driving outcomes from vendors for augmenting the Data Capabilities.
• Strong knowledge of data modelling and database and data warehouse design principles.
• Familiarity with data governance and security best practices: Good Understanding of the Enterprise Architecture Concepts and its implementation at the organization level
• Exceptional customer-facing, presentation and influencing skills
• Capacity to train and guide other team members and business teams on best practices data literacy
• Ability to manage and prioritize tasks efficiently
• Excellent third party and stakeholder management
• Ability to manage 3rd party vendors and lead engagement in matrix environment

Responsibilities:

• Analyst and evaluate operation need and user requirements across Business Unit and departments
• Manage project planning, solution and ensure the right implementation of IT solution to meet the operational requirements
• Perform statistical analysis, data mining and pattern recognition to uncover trends, correlations, insights and create clear visualizations
• Project development to improve operational productivity & efficiency by adopting digital transformation tools
• Partner with stakeholders to define data requirements and collect the relevant date
• Provide well-structured data for further analysis

Requirements:

• Degree in Information Technology, Computer Science or a related field
• At least 2 years of relevant experience in Digital Transformation, implementation of IT solutions.
• Possessing strong knowledge in various digital transformation knowledge & automation tools, such Microsoft Power Platform, SharePoint, PowerBI, MS SQL, Knime, Python, cloud platforms
• Strong communication and good interpersonal skills
• Highly motivated individual who works independently with little supervision

To apply, please visit www.gmprecruit.com and search for Job Reference: 25041
To learn more about this opportunity, please contact Yingying at [email protected]
We regret that only shortlisted candidates will be notified.

GMP Technologies (S) Pte Ltd | EA Licence: 11C3793 | EA Personnel: Lai Yingying | Registration No: R1110239

This is in partnership with the Employment and Employability Institute Pte Ltd (“e2i”).

e2i is the empowering network for workers and employers seeking employment and employability solutions. e2i serves as a bridge between workers and employers, connecting with workers to offer job security through job-matching, career guidance and skills upgrading services, and partnering employers to address their manpower needs through recruitment, training, and job redesign solutions. e2i is a tripartite initiative of the National Trades Union Congress set up to support nation-wide manpower and skills upgrading initiatives.

By applying for this role, you consent to GMP Recruitment Services (S) Pte Ltd’s PDPA and e2i’s PDPA.

Maltem Singapore is currently seeking a Data Analyst for our Wealth Management Client.

Summary:

• In this role, you will be supporting the implementation of an Enterprise Data Catalogue to facilitate the discovery and management of data assets utilizing an inventory of consistent and complete enterprise metadata.

Mandatory Requirements:

• Possess a degree in Computer Science/Information Technology or related fields.
• Ability to perform Metadata activities (e.g. collection, quality control, etc) throughout the metadata lifecycle.
• Ability to thoroughly review metadata, comprehend its implications, and recommend accurate metadata based on stakeholder-provided information and governance guidance.
• Experience in onboarding stakeholders in financial institutions into the data governance and compliance roadmaps of the organization.
• Strong problem-solving skills with the ability to identify, analyze, and resolve metadata challenges.

Good-To-Have:

• Advanced proficiency in Excel:
• Pivot Tables
• Advanced Formulas
• Matching
• Filtering and Sorting, etc.
• Hands-on experience in data governance tools such as:
• Precisely
• Collibra
• Informatica
• Experience in the financial services industry as part of a Metadata team within a Data Governance organization.
• Knowledge of Financial, Investment Processes, terminologies and organizational structures (e.g. Public and Private Markets, Risk and Operations, etc.).
• Familiarity with various types of Financial Data (e.g. Risk, Transaction Data, Portfolio Data, Market Data).

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. 

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.

Want to be a part of the fastest growing startup to help make a difference in our environment? Cedars Digital is looking for a Data Scientist (AI) to be part of our growth!

We are a passionate team that is excited about building carbon management solutions & the potential to disrupt with the latest AI technologies. We are looking for like-minded individuals to join our Engineering team - if you have the passion in creating an impact and/or are keen in the space of environmental sustainability, we want you!

Here is what you are expecting to be doing:

• AI solution development and strategy implementation for improving the process of laborious operations including but not limited to ESG consultant operation time.
• Conduct research and POC to stay up-to-date with the latest advancements in AI and integrate new techniques into projects.
• Design and optimize chatbot systems with LLM and prompt engineering for the efficiency of internal business processes.
• Develop and enhance recommendation systems to provide carbon factors.
• Collaborate effectively with AI/ML engineers, PM and others to deliver high-quality AI solutions.
• Ensuring reproducibility, scalability, and reliability of ML models.
• Experiencing a wide range of end-to-end ML development life cycle, including framing AI problems, data collection/preprocess/exploration, model development/evaluation.
• Learn state-of-the-art AI techniques and skills to efficiently conduct POC.

Skills that will help you in this role:

• MS in Math, Stats, CS or Engineering related fields.
• 2-5+ years of experience in AI development, with a proven track record of successful projects.
• Excellent problem-solving and analytical skills, with the ability to tackle complex challenges.
• Experienced in Deep Learning Framework (Pytorch or Tensorflow), Machine Learning and open-source platform e.g. ONNX, Hugging Face.
• Deep knowledge of ML/AI algorithms and their limitations and applications.
• Strong communication and teamwork skills with a collaborative approach to deliver.
• Programming skills in Python and experience with version control systems like Git.
• Solid experience in developing and fine-tuning models.
• Bonus, but not a must: Familiarity with Natural language processing (NLP) and Computer vision domain. Familiarity with docker/K8s and cloud service e.g. GCP, Azure and Amazon. Ability to build testing environment for POC

Why join Cedars Digital?

Come onboard this journey of transformation. Cedars Digital’s exclusively developed AI carbon emission calculation system involves the integration of AI algorithms and big data analysis. Through this, we aim to help enterprises complete greenhouse gas inventories and product carbon footprint calculations. We have big dreams as we want to be able to help them adapt to global carbon policies and enhance their sustainable competitiveness. Working with a vibrant and closely knitted team like ours provides you an environment to discover and develop your potential. With many learning opportunities, you get the chance to further your own personal and career development with us.

The Routing Data Analyst will support the Global Carrier Network Operations function

through the analysis of data and trends about quality, cost, and client traffic behaviour of our

SMS and Voice Products. This key-role will help the Vonage API platform, to onboard

customers’ traffic, optimise Cost or Quality, and a fine balance between the two.

You will

● Own part of the Routing table for the Global Carrier Network team (Use/Create insights

from available data, Analyse data for decision making) with focus on Quality and Cost.

● Perform complex analysis: type of traffic, Cost VS Quality, Price.

● Resolve Quality Alerts to maintain QoS according to given industry standards.

● Manipulate and transform the routing table’s selections for optimising Cost or Quality for

new and existing customers for a set of regional countries.

● Identify solutions/improvements of our internal tools and work with key stakeholders

(Product/Engineering) to eliminate blockers of day-to-day tasks.

● Provide Data analysis for other function stakeholders (Product, Engineering, Sales etc) to

support cross-functional needs.

● Perform operational day-2-day tasks and work towards continuous maintenance of the

service levels specified for our SMS of Voice termination SLOs with internal and external

stakeholders.

Essential for the Role (Must Have)

● Educated to degree level.

● At least 2-3 Years of experience on Cost/Price or Voice and SMS routing or Tech

Support position.

● Proficient in MS Office/Google equivalent data analysis Tools.

● Exposure to Business Intelligence tools (e.g. PowerBI, Tableau etc) or similar.

● Strong analytical skills.

● Ability and willingness to work in a global, fast-paced environment.

● Flexible with the ability to adapt working style to meet objectives.

● Excellent communication and analytical skills.

Nice to have for the Role:

● Project Management experience

● Telecommunications industry exposure.

● API and Cloud communications Industry exposure.

● Confluence JIRA tool

● Zendesk ticketing system.

Note: The role requires working 1-2 weekends or bank holidays per calendar month.

Job Description:
We are seeking a skilled Data Engineer with expertise in AWS cloud computing and database administration to join our team. In this role, you will design, implement, and manage scalable data solutions while maintaining and optimizing databases to ensure high performance and reliability..

Job Responsibilities:

• Design, deploy, maintain, and optimize database systems (Oracle, MySQL, SQL Server), including installation, configuration, backup, and recovery.
• Monitor and optimize database performance to improve response time, stability, and reliability.
• Plan and expand database capacity to ensure scalability and meet business requirements.
• Deploy and manage cloud infrastructure on AWS, including servers, networks, storage, and other resources, to provide a stable and reliable environment.
• Create, configure, and maintain AWS services to align with business needs, selecting appropriate services based on requirements.
• Implement and manage monitoring tools to track the performance and operational status of databases and AWS environments, proactively identifying and resolving potential issues.
• Collaborate with cross-functional teams to deliver efficient, scalable, and reliable cloud and database solutions.

Job Requirements:

• Bachelor’s degree or higher in Computer Science, Information Systems, or related fields.
• Minimum of 3+ years of experience in database administration (with hands-on experience in Oracle, MySQL, or SQL Server).
• Strong experience with AWS services and managing cloud infrastructure.
• In-depth knowledge of database performance tuning, troubleshooting, and optimization techniques.
• Familiarity with cloud networking concepts and using monitoring tools for AWS environments.
• Strong communication and problem-solving skills to handle technical challenges effectively.

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.

Job Purpose

Looking for an experienced Hadoop admin to join the Group Data function and manage the Hadoop based big data platform.

The role will be responsible of day-to-day operations of the big data platform. This includes monitoring, system upgrade, incident troubleshoot and service restoration, security patching, deployment, capacity management, etc.

The Job

Platform Upgrade and Maintenance

· Conduct the development and implementation of upgrades, and maintenance of the data platform

· Conduct timely patches based on vulnerabilities findings

· Monitor the platform and identify any performance gaps

· Optimize the platform infrastructure to meet scalability, performance, and security requirements

Capacity Management

· Monitor the utilization of the data platform and plan for any expansion if required

Issue/Incident Management

· Troubleshoot and fix the issue based on pre-defiled SLA

· Restore the services in case of system/service downtime based on pre-defined SLA

· Provide timely update to the users on the situation

· Escalate to management based on escalation matrix

User Access Management

· Onboard and offboard users to the platform based on the approval sought

· Conduct regular review of user accounts and take necessary actions to ensure users are valid and active

· Provision user access based on the approval sought

Data Security and Privacy

· Implement robust data security measures to safeguard sensitive information within the data platform

· Ensure compliance with data privacy regulations and industry standards

Deployment

· Conduct deployment of data pipelines developed by data engineers

Process

· Ensure operational Efficiency

· Participate in the creation of standards, guidelines, and procedures related to the data platform

· Monitor the performance, efficiency and effectiveness of operational processes and identify any areas of improvements to drive process optimization and efficiency

· Takes accountability in considering business and regulatory compliance risks and takes appropriate steps to mitigate the risks.

· Maintains awareness of industry trends on regulatory compliance, emerging threats and technologies in order to understand the risk and better safeguard the company.

· Highlights any potential concerns /risks and proactively shares best risk management practices.

Our Requirements

· Bachelor’s degree in IT, Computer Science, Software Engineering, Business Analytics, and equivalent of 5+ years of experience in distributed systems like Big Data Hadoop.

· Proficiency in Hadoop: Proven experience in Hadoop technologies (Spark, HDFS, Hive, Sqoop, Airflow, Docker)

· Managing data infrastructure: Experience in monitoring of data platform infrastructure and incident handling.

· Knowledge of SQL: Experience in MariaDB or any other relational database management system.

· Experience with ETL: Experience in managing and operating enterprise ETL tools

· Programming skills: Experience in one or more programming languages such as Python, Java, or Scala, and be able to develop custom shell scripts and applications for data operation and monitoring

· Data warehousing: good understanding of data warehousing concepts, including data architecture, dimensional modelling, and ETL processes.

· Experience with DevOps: Experience in DevOps tools and environment (BitBucket, Jira, Bamboo)

· Experience in Agile Methodology

· Collaboration: Work closely with data analysts, data engineers, data scientists, and business stakeholders to understand data needs and provide solutions to complex data problems. Should have good communication and collaboration skills.

· Critical thinking: Ability to analyze and understand complex problem. Strong in User Requirements Gathering, Troubleshooting, Maintenance and Support

· High level of integrity, takes accountability of work and good attitude over teamwork.

· Takes initiative to improve current state of things and adaptable to embrace new changes.

About Great Eastern

Established in 1908, Great Eastern places customers at the heart of everything we do. Our legacy extends beyond our products and services to our culture, which is defined by our core values and how we work. As champions of Integrity, Initiative and Involvement, our core values act as a compass, guiding and inspiring us to embrace the behaviours associated with each value, upholding our promise to our customers - to continue doing our best for them in a sustainable manner.

We work collaboratively with our stakeholders to look for candidates who exhibit or have the potential to embrace our core values and associated behaviours, as these are the key traits that we expect from our employees as they develop their careers with us.

We embrace inclusivity, giving all employees an equal opportunity to shine and play their role in exploring possibilities to deliver innovative insurance solutions.

Since 2018, Great Eastern has been a signatory to the United Nations (UN) Principles of Sustainable Insurance. Our sustainability approach around environmental, social, and governance (ESG) considerations play a key role in every business decision we make. We are committed to being a sustainability-driven company to achieve a low-carbon economy by managing the environmental footprint of our operations and incorporating ESG considerations in our investment portfolios; improving people’s lives by actively helping customers live healthier, better and longer; and drive responsible business practices through material ESG risk management.

To all recruitment agencies: Great Eastern does not accept unsolicited agency resumes. Please do not forward resumes to our email or our employees. We will not be responsible for any fees related to unsolicited resumes.

Hiring Location: Singapore

Airwallex is the leading financial technology platform for modern businesses growing beyond borders. With one of the world’s most powerful payments and banking infrastructures, our technology empowers businesses of all sizes to accept payments, move money globally, and simplify their financial operations, all in one single platform.

Established in 2015 in Melbourne, our purpose is to connect entrepreneurs, business builders, makers, and creators with opportunities in every corner of the world. Today, Airwallex has a global footprint across Asia-Pacific, Europe, and North America.

Who You Are? Role Overview:

In 2024, the Data Platform Engineering team is going to implement various data processing tasks on the newly built next-generation data platform. We aim to further optimize data storage, processing, application, interfaces, and other dimensions. Throughout the continuous iteration process, we will also incorporate new data components and consider new data architectures (such as Lake House) to achieve faster data scheduling, significantly reducing data latency and enabling more efficient operation of data engineering applications.

In this data engineering role, we are seeking engineers with a background in data engineering to join us in various aspects of data engineering, leveraging your past experiences in the field.

In this role, you will:

• Engage in technical decision-making, custom development, integration, and performance optimization at the foundational level, extending to the development of service layer infrastructure components, application layer, and data processing, including third-party data integration. Your contributions will enable Airwallex to evolve into a truly data-driven organization.
• Develop and automate large-scale, high-performance distributed data processing systems (batch/streaming) to drive Airwallex's business growth and enhance product experiences.
• Advocate for high-quality software engineering practices to establish scalable data infrastructure and pipelines.
• Contribute to defining shared data engineering tool standards to enhance the productivity and output quality of data engineers across the company.
• Provide guidance to junior engineers.

You might be a great fit if you:

• Have 5+ years of relevant experience as a data engineer.
• Hold a Bachelor's or Master's degree in CS/CE/CIS, (or equivalent experience) with knowledge of Kotlin / Java / Scala / Python / SQL. Knowledge of Kafka, Data Lake, Spark, Flink, DBT, Spring Boot, Hadoop, BigQuery, and Snowflake is preferred.
• Ability to take ownership of designing, building, and operating distributed systems and establishing overarching data architecture.
• Possess strong working knowledge of Real-time/Batch processing systems.
• Have experience with working data at PB scale.

At Airwallex you’ll have the ability to make an impact in a rapidly growing, global fintech. We want you to share in our success, which is why you’ll be offered a competitive salary plus valuable equity within Airwallex. We also like to ensure we create the best environment for our people by providing collaborative open office space with a fully stocked kitchen. We organise regular team-building events and we give our people the freedom to be creative.

Airwallex is proud to be an equal-opportunity employer. We value diversity and anyone seeking employment at Airwallex is considered based on merit, qualifications, competence, and talent. We don’t regard color, religion, race, national origin, sexual orientation, ancestry, citizenship, sex, marital or family status, disability, gender, or any other legally protected status. If you have a disability or special need that requires accommodation, please let us know.

Airwallex does not accept unsolicited resumes from search firms/recruiters. Airwallex will not pay any fees to search firms/recruiters if a candidate is submitted by a search firm/recruiter unless an agreement has been entered into concerning the specific open position(s). Search firms/recruiters submitting resumes to Airwallex on an unsolicited basis shall be deemed to accept this condition, regardless of any other provision to the contrary.

This Role is responsible for helping to drive the planning, execution oversight, operational excellence, internal/external thought leadership and subject matter expertise on CME’s portfolio of external value-added data products and services.

In the role, the analyst will successfully support the strategic development of new data products and services – leveraging CME Group’s own proprietary data, data from third-party partnerships, and alternative data sets – designed to expand CME Group’s Data Services business and capitalize on recognized growth opportunities.

The analyst will further assist in the management of CME Group’s DataMine distribution platform and will further focus on providing a unique and streamlined user experience. This role will work across CME supporting teams and external partners and requires a passion for business strategy and problem solving and a strong familiarity with market data in the context of financial markets.

The analyst will also help drive growth of the CME Group's data Services business by taking ownership of ongoing usage analysis, intelligence gathering and preparing key research on client trends and opportunities, as well as providing pre-sales support for onboarding and licensing customers.

Principal Accountabilities:
• Develop and generate reports and analyses based on vendor and subscriber information. This includes conducting simple to moderately complex financial and usage analysis.
• Execute ad-hoc projects to identify industry trends, customer impact of potential commercial changes and be able to deliver this and similar research in clear and business-focused formats.
• Grow and maintain knowledge levels of real time and derived data policies and fees.
• Provide pre-sales assistance for the licensing of Derived Data prospects through high level qualification techniques and articulating onboarding process to clients.
• Substantiates and reconciles reports with clear documentation. Resolves discrepancies independently and demonstrates a keen eye for numerical detail.
• Work with and develop relationships with other business units globally to effectively analyze key client behaviors.

Skills & Software Requirements:
Advanced Knowledge of Microsoft Office with emphasis on high degree of proficiency in Excel including the use of financial formulas, data analysis and pivot table features is a must. Knowledge of Microsoft Access, SQL and Visual Basic programming is highly desired. Proficiency in Salesforce and PeopleSoft or other financial database helpful.

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.

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.