Data Engineer, Singapore Global Network (1+1 Year Contract)
Core
Build and maintain scalable data infrastructure, pipelines, and governance solutions to support network analysis and business intelligence for Singapore's global ecosystem.
Role type
Data Engineer
Builds
End-to-end data solutions, data pipelines, and analytics-ready datasets
Domain
Government / Public Sector / Data Engineering
Deliverable
production ML models | product features | dashboards & analysis
Required skills
Databricks (workflows, notebooks, cluster management), Python, SQL, AWS (S3, Athena, RDS), ETL/ELT design, medallion architecture, Unity Catalog, data governance, data modeling
Preferred skills
Databricks certification, AWS Government Commercial Cloud (GCC), Salesforce integration, BI tools (Power BI, Tableau), event-driven architectures, real-time processing
Technologies
Databricks, AWS, Unity Catalog, Jupyter, S3, Athena, RDS
Responsibilities
Design and implement data pipelines using Databricks workflows and notebooks; Build and maintain medallion architecture (Bronze, Silver, Gold layers); Develop ETL processes to integrate data from SaaS platforms and internal systems; Implement data governance practices using Unity Catalog; Create and maintain Jupyter notebooks for data exploration; Design scalable data storage solutions using AWS services; Build data models and prepare datasets optimised for reporting; Implement ML pipelines for basic predictive analytics; Ensure data quality, validation, and monitoring across workflows
Seniority
Mid-level (2-5 years experience), hands-on IC
