# Senior Data Engineer (GeBIZ X) **Company**: Ministry of Finance **Location**: Singapore **Experience**: senior **Job type**: contract **Category**: Data Science **Industry**: Finance **Apply**: https://job-boards.greenhouse.io/govtech/jobs/4003807201?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply **Canonical**: https://yubhub.co/jobs/job_a0d39ee8-f56 ## Description The Ministry of Finance is seeking a dynamic and strategic Data Engineer to design, build, and scale enterprise-grade data platforms and pipelines for the GeBIZ X product. You will play a key role in shaping the product's data strategy, ensuring high standards in data architecture, performance, scalability, and governance. Beyond core data engineering, you will drive innovation in AI-enabled capabilities, leveraging data as a foundation to unlock insights, improve decision-making, and enhance user outcomes across the public service. **Responsibilities:** - Data Strategy, Engineering & Product Delivery: - Engage stakeholders to understand business challenges, refine use cases, and identify opportunities to harness data for product and policy decisions. - Design, build, and maintain scalable data pipelines, data platforms, and reusable datasets to support analytics and product use cases. - Develop data models and architectures to support complex business processes and reporting needs. - Implement ETL/ELT processes to ingest, transform, and serve structured and unstructured data. - Design and deliver analytics workflows, dashboards, and data products to enable insights and decision-making. - Work iteratively with product teams to validate insights, refine analyses, and deliver measurable outcomes. - AI, Machine Learning & Advanced Analytics: - Develop and apply machine learning and Large Language Model (LLM)-based solutions, including prompt engineering and AI-enabled applications where relevant. - Operationalise models through MLOps practices, including deployment, monitoring, and lifecycle management. - Stay abreast of emerging trends in AI, data architectures, and optimisation techniques, and apply them to enhance product capabilities. - Ensure responsible AI practices, including considerations for safety, fairness, and robustness. - Data Platforms, Integration & DataOps: - Design and implement moderately complex data systems and platforms, including supporting infrastructure and integrations. - Apply advanced data integration techniques (e.g. streaming, Change Data Capture, message queues) to enable real-time and batch processing. - Champion DataOps practices such as automated pipeline deployments, monitoring, and data observability. - Ensure data quality, reliability, and integrity across systems and pipelines. - Proactively manage and reduce technical debt to ensure long-term system stability. - Governance, Risk & Compliance: - Navigate data privacy, governance, and regulatory requirements, ensuring compliance with policies and standards. - Identify risks in data systems and proactively address potential failure points. - Align system design with security, performance, and compliance best practices across GovTech platforms. - Leadership, Collaboration & Delivery: - Own and deliver complex data engineering assignments across the full data lifecycle with minimal supervision. - Break down 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 effectively with Product Managers, Engineers, Designers, and Business stakeholders to deliver integrated solutions. - Strategic Alignment & Organisational Impact: - Contribute to team strategy, balancing short-term delivery with long-term platform sustainability. - Evaluate new technologies and communicate trade-offs to technical and non-technical stakeholders. - Participate in cross-team initiatives and align solutions with broader organisational goals. - Contribute to GovTech communities, shaping best practices and promoting a culture of continuous learning and improvement. **Requirements:** - Experience & Education: - Bachelor's degree or higher in Data Science, Computer Science, Statistics, Applied Mathematics, or a related quantitative discipline. - At least 5 years of experience in data engineering. - Proven experience delivering data platforms or products in large-scale, enterprise environments. - Technical Skills: - Strong expertise in data modelling (OLTP, OLAP, dimensional modelling). - Experience with cloud data platforms and tools (e.g. AWS, Azure Synapse/Microsoft Fabric, Snowflake, Databricks, Redshift, Data Lakes). - Proficiency in big data technologies (e.g. Hadoop, Spark, Kafka, Flink). - Strong programming skills in Python, Scala, or Java. - Experience with CI/CD and DataOps practices (e.g. SHIP-HATS or equivalent). - Expertise in data integration techniques (e.g. ETL/ELT, streaming, APIs). - AI & Machine Learning (Advantageous): - Understanding of machine learning and LLM concepts, including prompt engineering and AI application development. - Familiarity with MLOps practices and cloud-based ML deployment. - Awareness of responsible AI principles (fairness, robustness, safety). - Core Competencies: - Strong analytical and problem-solving skills, with the ability to translate business problems into data solutions. - Ability to design scalable, reliable, and maintainable data systems. - Effective communication and stakeholder management skills. - Self-driven, adaptable, and able to operate in ambiguity. - Strong sense of ownership and commitment to delivery excellence. - Passion for leveraging data and technology to deliver public good. ## Skills ### Required - data modelling - cloud data platforms - big data technologies - Python - Scala - Java - CI/CD - DataOps - ETL/ELT - streaming - APIs - machine learning - LLM - MLOps ### Nice to have - AI - prompt engineering - AI application development - MLOps practices - cloud-based ML deployment - responsible AI principles --- Source: [Apply at job-boards.greenhouse.io](https://job-boards.greenhouse.io/govtech/jobs/4003807201?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)