Live opening · Posted 2 days ago

Data Engineer - Geospatial Data

RiskPod · United Kingdom (Remote)

Linkedin Yes

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At a glance

The key details from the original listing.

Posted 2 days ago

CompanyRiskPod

LocationUnited Kingdom (Remote)

Salary40 GBP/hr - 80 GBP/hr

Work modeYes

SkillsPython

Source

ListedPosted 2 days ago

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About the role

Description supplied by the original job listing.

Data Engineer – Demographic & Geospatial Data
About the Role
We are seeking a hands-on Data Engineer to build Databricks pipelines that combine demographic data with geographic reference data, delivering reliable, reconciled datasets for population analysis and service planning.
Key Responsibilities
Design and deploy pipelines using Databricks, Python, PySpark, SQL and Delta Lake
Standardise postcodes and enrich records using NHS and ONS postcode products and ODS reference data
Implement spatial joins and point-in-polygon matching, handling edge cases and multiple matches
Version lookups and boundaries so historical outputs stay reproducible
Automate data quality checks and reconcile counts before and after joins
Optimise Spark and spatial processing as data volumes grow
Apply access, pseudonymisation and disclosure controls to sensitive data
Essential Skills
Strong Databricks, Python, PySpark and SQL in production
Geospatial engineering: CRS (BNG, WGS84), geometry validation, GeoJSON, WKT/WKB, GeoParquet
Apache Sedona or native Databricks spatial functions
Git, CI/CD, automated testing and clear communication with analysts
Desirable
NHS demographic or registration data; LSOAs, MSOAs, ICBs; UPRNs
GeoPandas, Shapely or QGIS; regulated data environments

Work arrangement
Yes

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