Data Operations Engineer (Spatial & Textual Data Operations) in Exeter

Help design, build and continuously improve the clients online platform. Research, suggest and implement new technology solutions following best practices/standards. Take responsibility for the resiliency and availability of different products. Be a productive member of the team.

Key Responsibilities

• Spatial Data Operations
  • Digitize spatial features (polygons, lines, and points) using source maps, imagery, and reference datasets.
  • Edit and refine geometries to maintain spatial accuracy and topological integrity.
  • Identify and update missing or incorrect spatial representations of land charges.
  • Validate spatial data against authoritative sources such as master maps and cadastral layers.
• Textual & Attribute Data Management
  • Review and correct textual attributes related to land charges, including addresses, descriptions, and identifiers.
  • Identify missing, incomplete, or inaccurate charge records and flag them for correction.
  • Assign land charges to the appropriate charge types based on defined business rules and classification standards.
  • Categorize and standardize textual attributes to ensure consistency across datasets.
• Data Quality & Validation
  • Perform data quality checks to identify duplicates, missing fields, incorrect mappings, and inconsistencies.
  • Validate linkages between spatial and textual datasets to ensure accurate relationships.
  • Maintain audit trails and document all updates made during data correction activities.
• Data Import, Export & Handling
  • Import and export spatial and textual datasets in required formats (e.g., CSV, Shapefile, GeoJSON, GDB).
  • Ensure accurate data transformation and formatting during import and export processes.
  • Support bulk data uploads, batch corrections, and dataset comparisons.
• Operational Support & Coordination
  • Adhere to defined operational workflows and SLAs for data correction and validation tasks.
  • Coordinate with reviewers, supervisors, and downstream teams to resolve data-related issues.
  • Maintain clear documentation of processes, decisions, and exception handling.
  • Support review cycles and rework based on quality and audit feedback.

Required Skills & Qualifications

• Technical & Domain Skills
  • Basic understanding of spatial and textual data concepts.
  • Familiarity with GIS digitization and geometry editing.
  • Interest in learning land charge data, cadastral datasets, or similar regulatory/property data (preferred).
  • Basic knowledge of data categorization, classification, and mapping rules.
  • Familiarity with data import/export workflows and common data formats.
• Tools & Technologies (Preferred)
  • GIS tools such as ArcGIS, QGIS, or similar platforms.
  • Spreadsheet tools (e.g., Microsoft Excel) and basic data handling utilities.
  • Exposure to spatial databases or geospatial data services is an added advantage.
• Soft Skills
  • Strong attention to detail and commitment to data accuracy.
  • Ability to understand structured datasets and business rules.
  • Good analytical and problem-solving skills.
  • Ability to follow defined processes and meet deadlines.
  • Clear written and verbal communication skills.

Experience

0–2 years of experience in data operations, GIS data handling, or spatial/textual data management. Fresh graduates with strong GIS and data fundamentals are encouraged to apply.

Educational Qualification

Bachelor’s degree in Geography, GIS, Geomatics, Computer Science, Information Systems, or a related discipline.

Key Performance Indicators (KPIs)

• Accuracy and completeness of spatial and textual data corrections.
• Compliance with defined data standards and classification rules.
• Turnaround time for assigned data correction tasks.
• Reduction in rework and recurring data quality issues.

Benefits

A challenging, innovating environment. Opportunities for learning where needed.