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Full-time Tech & engineering · Posted 14 May
Senior Data Engineer (GeBIZ X) G GovTech Singapore From company site
Salary
Not stated by the company
Start Not stated
Work mode On-site
Experience Experienced About the role You will join the Ministry of Finance team behind GeBIZ X, a whole-of-government procurement product, and take charge of its data platforms and pipelines. The role suits an experienced data engineer who enjoys shaping data strategy, building enterprise-scale systems, and working with product, engineering, policy and business colleagues. You will also help drive AI-enabled features that turn data into better decisions and outcomes for public officers and suppliers.
What you'll do Work with stakeholders to understand business problems, sharpen use cases and spot chances to use data for product and policy decisions. Design, build and maintain scalable data pipelines, platforms and reusable datasets for analytics and product needs. Know someone for this? Share it
Senior Data Engineer (GeBIZ X) job at GovTech Singapore, Singapore | WorkJio
Create data models and architectures that support complex business processes and reporting.
Implement ETL/ELT processes to ingest, transform and serve structured and unstructured data.
Build analytics workflows, dashboards and data products that support insight and decision-making.
Iterate with product teams to validate insights, refine analyses and deliver measurable outcomes.
Develop machine learning and LLM-based solutions, including prompt engineering and AI-enabled applications.
Operationalise models through MLOps practices covering deployment, monitoring and lifecycle management.
Keep up with emerging trends in AI, data architectures and optimisation, and apply them to product capabilities.
Ensure responsible AI practices around safety, fairness and robustness.
Design and implement moderately complex data systems and platforms, including supporting infrastructure and integrations.
Apply advanced data integration techniques such as streaming, Change Data Capture and message queues for real-time and batch processing.
Champion DataOps practices including automated pipeline deployments, monitoring and data observability.
Maintain data quality, reliability and integrity across systems and pipelines.
Proactively manage and reduce technical debt for long-term system stability.
Handle data privacy, governance and regulatory requirements in line with policies and standards.
Identify risks in data systems and address potential failure points early.
Align system design with security, performance and compliance best practices across GovTech platforms.
Own and deliver complex data engineering work across the full data lifecycle with minimal supervision.
Break complex problems into actionable tasks and coordinate delivery across teams.
Drive high-quality, scalable delivery through engineering excellence and best practices.
Mentor junior engineers and guide peers through code reviews, architecture discussions and technical problem-solving.
Collaborate with Product Managers, Engineers, Designers and business stakeholders to deliver integrated solutions.
Contribute to team strategy, balancing short-term delivery with long-term platform sustainability.
Evaluate new technologies and e Requirements Bachelor's degree or higher in Data Science, Computer Science, Statistics, Applied Mathematics or a related quantitative field At least 5 years of data engineering experience Track record delivering data platforms or products in large-scale enterprise settings Strong data modelling skills (OLTP, OLAP, dimensional modelling) Experience with cloud data platforms and tools such as AWS, Azure Synapse/Microsoft Fabric, Snowflake, Databricks, Redshift or Data Lakes Proficiency with big data technologies such as Hadoop, Spark, Kafka or Flink Apply on the company website
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Open application Listing ID 4868 · Report this listing
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