SM/M, Senior Data Engineer

[What the role is]

[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

#LI-FN1

Only shortlisted candidates will be notified.

Position will commensurate with experience.