Data Engineer

Responsibilities

• Consolidate and integrate data from disparate sources in a scalable and compliant manner.
• Collaborate with Product Managers, Data Architects, Business Analysts, Frontend Developers, Designers, and Data Analysts to deliver scalable, data-driven solutions.
• Develop backend APIs and manage databases to support application functionality.
• Operate within an Agile environment that emphasizes Continuous Integration and Continuous Delivery (CI/CD).
• Work closely with fellow engineers through pair programming and code review practices.

Qualifications

• GIS / Spatial
• Familiar with GIS platforms such as ArcGIS Server and PostGIS.
• Proficient in spatial Python libraries including GeoPandas and Shapely.

Required Skills

• Develop scalable geospatial data pipelines for ingestion, transformation, storage, and quality validation across multiple government data sources.
• Implement data cataloguing, metadata management, lineage tracking, and security, while optimising storage and performance for GIS analytics (e.g., PostGIS, data lakes).
• Provide reliable data services and defined data contracts to support downstream GIS analytics and front-end visualisations, in close collaboration with GIS and frontend teams.
• Manage geospatial data through validation, cleansing, reprojection, metadata handling, and lineage tracking.
• Design enterprise-level geospatial data models, schemas, pipelines, and services, and build or configure web map services and visualisation components.
• Ensure high data quality, adherence to standards (e.g., ISO 19115/19139, OGC), governance, and operational reliability of GIS data assets.

Preferred Skills

• Experience with data visualization tools and techniques.
• Knowledge of cloud platforms and services.