Geospatial Data Pipeline Engineer in Reading

Key Responsibilities

• Design, implement, and maintain end-to-end geospatial data pipelines
• Support ingestion of: o Spatial datasets (point, line, polygon) o Attribute and tabular data from multiple sources
• Build modular, repeatable, and scalable pipelines capable of handling: o Large data volumes o Variable data structures and data quality
• Ensure pipelines are robust, auditable, and production-ready Orchestration & Automation
• Orchestrate workflows across: o FME (Desktop / Server) o Databases and storage layers o Automation frameworks and schedulers
• Implement: o Batch processing o Monitoring, logging, and alerting o Retry and failure-handling mechanisms
• Contribute to automation uplift initiatives to improve throughput and reliability Geospatial Data Processing
• Work with geospatial data including: o Points, lines, and polygons o Reference and base mapping datasets
• Integrate and manage multiple formats: o Shapefiles, File Geodatabases, GeoJSON, CAD, CSV, database sources
• Ensure correct handling of: o Coordinate reference systems (CRS) o Geometry validity and topology rules QA, Governance & Data Assurance
• Embed data validation and QA controls within pipelines
• Ensure outputs meet defined data standards and specifications
• Support investigation and resolution of data quality issues
• Maintain clear documentation, runbooks, and technical specifications Collaboration & Production Support
• Work closely with: o FME Analysts o Automation and scripting teams o QA and delivery teams
• Support live production environments and delivery deadlines
• Participate in continuous improvement of pipeline performance and resilience

Required Skills & Experience Essential

• 3+ years experience building and operating data pipelines, ideally with geospatial data
• Strong understanding of: o Geospatial data structures and processing concepts o ETL / ELT pipeline design principles
• Strong SQL skills, including: o Complex querying o Spatial queries (PostGIS / SQL Server desirable) Experience working in high-volume, production environments
• Strong problem-solving and analytical skills Technical Skills
• Experience with one or more of: o FME (Desktop / Server) o Python for automation and pipeline control o Workflow orchestration tools
• Familiarity with: o Spatial databases (PostGIS, SQL Server) o GIS platforms (ArcGIS, QGIS) Understanding of logging, monitoring, and operational support for pipelines Desirable Experience Experience supporting large-scale digitisation or data modernisation programmes
• Exposure to automation, optimisation, or platform migration initiatives
• Experience with version control, CI/CD, or cloud-based data platforms
• Understanding of data governance, security, and access control principles