Geospatial Data Engineer

Omnis Partners
Birmingham
2 weeks ago
Applications closed

Related Jobs

View all jobs

Senior Geospatial Specialist

Data Governance Operating Model Business Lead

Data Governance Lead,DAMA,DCAM,CDMC,Government,GDS

Data Governance Programme Lead

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

Get the latest insights and jobs direct. Sign up for our newsletter.

By subscribing you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Negotiating Your Data Science Job Offer: Equity, Bonuses & Perks Explained

Data science has rapidly evolved from a niche specialty to a cornerstone of strategic decision-making in virtually every industry—from finance and healthcare to retail, entertainment, and AI research. As a mid‑senior data scientist, you’re not just running predictive models or generating dashboards; you’re shaping business strategy, product innovation, and customer experiences. This level of influence is why employers are increasingly offering compensation packages that go beyond a baseline salary. Yet, many professionals still tend to focus almost exclusively on base pay when negotiating a new role. This can be a costly oversight. Companies vying for data science talent—especially in the UK, where demand often outstrips supply—routinely offer equity, bonuses, flexible work options, and professional development funds in addition to salary. Recognising these opportunities and effectively negotiating them can have a substantial impact on your total earnings and long-term career satisfaction. This guide explores every facet of negotiating a data science job offer—from understanding equity structures and bonus schemes to weighing crucial perks like remote work and ongoing skill development. By the end, you’ll be well-equipped to secure a holistic package aligned with your market value, your life goals, and the tremendous impact you bring to any organisation.

Data Science Jobs in the Public Sector: Exploring Opportunities Across GDS, NHS, MOD, and More

Data science has emerged as one of the most influential fields in the 21st century, transforming how organisations make decisions, improve services, and solve complex problems. Nowhere is this impact more visible than in the UK public sector. From the Government Digital Service (GDS) to the National Health Service (NHS) and the Ministry of Defence (MOD), government departments and agencies handle vast amounts of data daily to support the well-being and security of citizens. For data enthusiasts looking to make a meaningful contribution, data science jobs in the public sector can offer rewarding roles that blend innovation, large-scale impact, and societal benefit. In this comprehensive guide, we’ll explore why data science is so pivotal to government, the roles you might find, the skills needed, salary expectations, and tips on how to succeed in a public sector data science career.

Contract vs Permanent Data Science Jobs: Which Pays Better in 2025?

Data science sits at the intersection of statistics, machine learning, and domain expertise, driving crucial business decisions in almost every sector. As UK organisations leverage AI for predictive analytics, customer insights, and automation, data scientists have become some of the most in-demand professionals in the tech job market. By 2025, data scientists with expertise in deep learning, natural language processing (NLP), and MLOps are commanding top-tier compensation packages. However, deciding whether to become a day‑rate contractor, a fixed-term contract (FTC) employee, or a permanent member of an organisation can be challenging. Each path offers a unique blend of earning potential, career progression, and work–life balance. This guide will walk you through the UK data science job market in 2025, examine the differences between these three employment models, present sample take‑home pay scenarios, and offer strategic considerations to help you determine the best fit for your career.