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Geospatial Data Engineer

Omnis Partners
Sheffield
6 months ago
Applications closed

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Geospatial Data Engineer

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Data Scientist - Reigate

Data Scientist - Reigate...

Associate Director of Geospatial Data Engineering | £140k | Remote (UK) | Open Source + Geospatial + AI-adjacent 📣


We’re working with a forward-thinking data consultancy that’s looking for ahands-on Associate Director of Geospatial Data Engineering— someone who blends deep technical ability with creativity, and loves solving unusual data challenges with open-source tools.

This is a unique opportunity to take ownership of strategic data engineering projects — helping clients build modern, scalable data platforms while leading from the front with your own engineering expertise.


🔧 What you'll be working with:

  • Python-first data engineering, building custom pipelines, automation tools and ingestion workflows.
  • PostgreSQL + PostGIS: serious spatial querying, indexing and geospatial wrangling.
  • Cloud-native infrastructure: AWS / GCP / Azure (your pick) — but with a proper understanding of how it all works under the hood.
  • Modern ETL/ELTusing Airflow, Spark, Dagster, Prefect — you choose the right tool for the job.
  • CI/CD for data: Git, Docker, automated testing, efficient and scalable workflows.


🗺️ What sets this role apart:

  • Heavy emphasis ongeospatial data engineering— working with OSM, map tile rendering, Leaflet.js, Kepler.gl, and data visualisation.
  • Work on projects blendingprivate + public + non-traditional data sources— edge devices, IoT, NLP pipelines, and custom data processing challenges.
  • Preference for open-source tools (QGIS, SpaCy, MapTiler etc.) over proprietary systems.
  • A chance to shape the strategy, lead delivery, and stay close to the tech.


🧠 You might be a fit if you:

  • Have a deep understanding of systems, efficiency, and optimisation (e.g., edge computing, AI-on-device, or automation with Raspberry Pi).
  • Are a natural problem-solver who can connect data points others miss.
  • Enjoy tackling messy, unconventional datasets.
  • Have a track record ofpersonal projects, open-source contributions or building beyond the 9–5

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