Data Engineer-Demographic and Geospatial Data

Qualient Technology Solutions UK Limited; Leeds; On-site; GBP 60,000 - 90,000; Full time

Job summary

Qualient Technology Solutions UK Limited in Leeds is seeking a Data Engineer to work with demographic and geospatial data. You will design and maintain production pipelines using Databricks, PySpark and SQL, and manage Delta Lake with batch and incremental processing.

You will handle geospatial data, coordinate reference systems, and ensure data quality while enabling scalable Spark-based analytics. Candidates will engage with analysts and data owners to document data issues, apply governance,

Qualifications

• Strong Databricks, Python, PySpark and SQL skills.
• Experience with Delta Lake, ingestion and schema management.
• Geospatial data engineering with points, polygons, spatial joins.
• Knowledge of coordinate reference systems including British National Grid and WGS84.
• Experience with a scalable Spark spatial approach or Apache Sedona.
• Ingest and transform GeoJSON, WKT/WKB and Shapefile or GeoParquet.
• Experience joining demographic data to geographic reference data.
• Data quality and reconciliation skills including detecting mismatches and duplicates.
• Experience with Git, CI/CD, code review, automated testing and monitoring.

Skills

Databricks

Python

PySpark

SQL

Geospatial data engineering

Delta Lake

Tools

Git

CI/CD

Code review

Automated testing

Job monitoring

Apache Sedona

Spark spatial

Job description

Data Engineer-Demographic and Geospatial Data

Leeds Contract/Full Time Posted by: Qualient Technology Solutions UK Limited

Posted: Saturday, 10 October 2026

We are looking for Data Engineer With Demographic and Geospatial Data Experience.

Job Description:-

Essential skills and experience

• Strong Databricks, Python, PySpark and SQL skills, with hands-on experience developing and supporting production data pipelines processing large datasets.
• Experience with Delta Lake, batch and incremental ingestion, schema management, merge logic, deduplication and maintaining historical records without losing the meaning of effective dates.
• Practical geospatial data engineering experience working with points, polygons, spatial joins, geometry validation and geographic aggregation.
• Understanding of coordinate reference systems, including British National Grid and WGS84, coordinate transformation, distance units and the limitations of postcode centroids for precise location analysis.
• Experience with a scalable Spark spatial approach, such as supported native Databricks spatial functions or Apache Sedona. Able to select tooling compatible with the deployed runtime and workload.
• Ability to ingest and transform spatial formats such as GeoJSON, WKT/WKB and Shapefile or GeoParquet, alongside tabular reference files.
• Experience joining demographic or other record-level data to geographic reference data, handling unmatched and multiple matches, and controlling changes to lookup versions and boundaries.
• Strong data quality and reconciliation skills, including tests that identify record multiplication, missing mappings and incorrect geographic assignments.
• Experience with Git, CI/CD, code review, automated testing, job monitoring and performance troubleshooting. Able to document assumptions and explain data issues clearly to analysts and data owners.

Location

Leeds, UK

Industry

IT

Category

Government

Employment Agency

Qualient Technology Solutions UK Limited

Contact

Prasad Kakaraparthi

Telephone

441184661906

Email

Contact This Employment Agency

Reference

JS

Posted Date

10/10/2026 2:46:25 AM

Permalink

http://www.careerboard.com/hDy2B

• Strong Databricks, Python, PySpark and SQL skills, with hands-on experience developing and supporting production data pipelines processing large datasets.
• Experience with Delta Lake, batch and incremental ingestion, schema management, merge logic, deduplication and maintaining historical records without losing the meaning of effective dates.
• Practical geospatial data engineering experience working with points, polygons, spatial joins, geometry validation and geographic aggregation.
• Understanding of coordinate reference systems, including British National Grid and WGS84, coordinate transformation, distance units and the limitations of postcode centroids for precise location analysis.
• Experience with a scalable Spark spatial approach, such as supported native Databricks spatial functions or Apache Sedona. Able to select tooling compatible with the deployed runtime and workload.
• Ability to ingest and transform spatial formats such as GeoJSON, WKT/WKB and Shapefile or GeoParquet, alongside tabular reference files.
• Experience joining demographic or other record-level data to geographic reference data, handling unmatched and multiple matches, and controlling changes to lookup versions and boundaries.
• Strong data quality and reconciliation skills, including tests that identify record multiplication, missing mappings and incorrect geographic assignments.
• Experience with Git, CI/CD, code review, automated testing, job monitoring and performance troubleshooting. Able to document assumptions and explain data issues clearly to analysts and data owners