Data Operations Engineer; Spatial & Textual Data Operations

Overview

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.

• Spatial Data Operations:
  Digitize spatial features (polygons, lines, and points) using source maps, imagery, and reference datasets.
• Spatial Data Operations:
  Edit and refine geometries to maintain spatial accuracy and topological integrity.
• Spatial Data Operations:
  Identify and update missing or incorrect spatial representations of land charges.
• Spatial Data Operations:
  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.
• Textual & Attribute Data Management:
  Identify missing, incomplete, or inaccurate charge records and flag them for correction.
• Textual & Attribute Data Management:
  Assign land charges to the appropriate charge types based on defined business rules and classification standards.
• Textual & Attribute Data Management:
  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.
• Data Quality & Validation:
  Validate linkages between spatial and textual datasets to ensure accurate relationships.
• Data Quality & Validation:
  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).
• Data Import, Export & Handling:
  Ensure accurate data transformation and formatting during import and export processes.
• Data Import, Export & Handling:
  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.
• Operational Support & Coordination:
  Coordinate with reviewers, supervisors, and downstream teams to resolve data-related issues.
• Operational Support & Coordination:
  Maintain clear documentation of processes, decisions, and exception handling.
• Operational Support & Coordination:
  Support review cycles and rework based on quality and audit feedback.

• 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.

• 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.

• 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.

• 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.

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

• 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.

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