Senior Data Engineer (Databricks, Power BI)
Salary: $6,500 – $8,000 per month
About the role
You will be part of a high-performing and multi-disciplinary research division that conducts a range of research initiatives impacting policy and operations in Singapore's social service sector. The Senior Data Engineer will mentor data engineers to build and maintain robust infrastructure and systems across the Client's digital ecosystem. The team will be instrumental in supporting the development of data pipelines and infrastructure that ensure clean, accurate, and timely data is available for business analytics, decision-making, and AI applications.
Key responsibilities
Guide and plan data engineering processes for the Client's digital systems
Lead technical discussions with the data engineering team and stakeholders to shape the future of the Client's digital products
Lead and advise on data engineering strategy, architecture, and implementation aligned with the Digital Government Blueprint (DGB2.0)
Provide technical leadership across multiple product teams by establishing data architecture standards and developer operations best practices
Mentor and train the data engineering team
Assist in designing and developing data pipelines and architectures to collect, process, harmonize and store data from various source systems
Support the building of data pipelines that integrate data from multiple platforms and services
Help maintain data lakes and database infrastructure to support analytical, reporting, and AI workloads
Implement data validation, cleansing, and normalisation processes to ensure data quality and integrity
Monitor data pipelines and systems to identify potential issues and performance bottlenecks
About you
Bachelor's Degree in Computer Science, Data Science, Engineering, Information Technology, or a related technical field
5+ years of experience in Data Engineering, Cloud Infrastructure, Platform Engineering, or related technical roles
Proficiency in at least one programming language such as Python, Java, or Scala for data processing and scripting
SQL knowledge essential
Experience with Databricks and implementing batch/real-time data pipelines
Advanced knowledge of data modelling and schema design principles
Familiarity with data integration and ETL (Extract, Transform, Load) concepts and processes
Basic experience with version control systems such as Git
Experience with any cloud platform: AWS, Azure, or GCP
Knowledge and experience with business intelligence tools such as Power BI, AWS QuickSight, or similar platforms