SM/M, Senior Data Engineer

[What the role is]

A hands-on technical role responsible for designing, building, and maintaining the data pipelines and infrastructure that power IMDA's Data Platforms. The role sits at the intersection of data engineering and applied data science, and is critical to enabling data-driven decisions and AI-ready capabilities across the organisation.

[What you will be working on]

Design, build, and maintain scalable and reliable data pipelines for both batch and real-time data processing

Contribute to data modelling and architecture decisions, including schema design and data warehouse or lakehouse structures

Apply data science knowledge to support data quality, anomaly detection, and preparation of AI-ready datasets

Collaborate with data analysts, product owners, and business stakeholders to translate requirements into robust data solutions

Ensure pipelines and data storage practices comply with IM8 and other regulatory requirements, including data governance and cataloguing practices

Champion documentation practices and platform operability across the team

Provide technical guidance and mentoring to junior team members

[What we are looking for]

Minimum 5 years of data engineering experience with a strong track record in production data pipeline delivery

Data science background — working knowledge of statistical analysis, ML concepts, and experience preparing datasets for analytical or ML use cases

Proficiency in Python and SQL; experience with pipeline frameworks such as Apache Spark or Airflow

Experience with cloud platforms; familiarity with GCC or equivalent government-certified environments preferred

Strong communication skills and comfortable working in an agile, fast-paced environment

Experience with robotics, IoT sensor, or real-time streaming data

Familiarity with MLOps practices and tools

Experience with data cataloguing or governance tools

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Only shortlisted candidates will be notified.

Position will commensurate with experience.