Data Engineer (Databricks)

About the role

Join a Singapore public sector client to lead the engineering behind a new Data Platform, where data from multiple operating systems is aggregated and transformed to answer strategic business questions. You will be part of a high-performing, multi-disciplinary research division whose work impacts policy and operations.

What you will do

• Lead and advise on data engineering strategy, architecture and implementation across the client's digital systems.
• Establish data architecture standards and developer operations best practices across multiple product teams.
• Lead technical discussions with the data engineering team and stakeholders to shape the direction of digital products.
• Mentor and train data engineers in pipeline development, data quality, governance, monitoring and documentation.
• Oversee data lakes and database infrastructure supporting analytical, reporting and AI workloads.
• Work with product teams, analysts and stakeholders to turn business data requirements into technical specifications and scalable solutions.

What you bring

• Experience with Databricks and implementing batch and real-time pipelines, plus exposure to Spark or similar frameworks.
• 5+ years in data engineering, cloud infrastructure, platform engineering or related technical roles.
• Bachelor's degree in Computer Science, Data Science, Engineering, Information Technology or a related technical field.
• Proficiency in at least one of Python, Java or Scala, and essential SQL knowledge across relational and non-relational systems.
• Advanced knowledge of data modelling and schema design, with familiarity in ETL and data integration.
• Experience with any cloud platform (AWS, Azure or GCP), preferably AWS services such as S3, EC2 and RDS.
• Experience with BI and visualisation tools such as Power BI or AWS QuickSight.
• Self-driven and analytical, with strong project management, communication and stakeholder management skills.

Nice to have

• AWS Certified Data Engineer or Databricks Certified Data Engineer.
• Knowledge of data science, statistical analysis or machine learning to better support researchers and analysts.
• Understanding of data governance policies, access controls and security best practices in government environments.
• Familiarity with agile development methodologies and version control such as Git.

Pay: $5,000.00 - $10,000.00 per month

Benefits:

• Flexible schedule

Work Location: In person