Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Principal Geospatial Data Engineer

TieTalent
Reading
1 week ago
Create job alert

Overview

We are searching for a Principal Geospatial Data Engineer to join our client's high-performing Data Engineering Team. This role is ideal for an experienced, hands-on professional who thrives on technical leadership, innovation, and delivery. As a 100% data-driven company, our client prides itself on engineering excellence and delivering impactful solutions and services to their clients.

This role is offered on a 3-year fixed term contract basis - it is full-time and fully remote with very occasional trips to the office. You will also receive an extensive benefits package and a competitive salary.

Reporting directly to the Head of Data Engineering, you will play a crucial role in driving the team's vision and objectives to completion. You will be expected to provide technical leadership, own the solution, ensure the reliability of data products, and collaborate closely with your team and customers to optimise data solutions.

To be considered for this role you MUST have Geospatial Data experience, good knowledge of QGIS & FME, programming/coding abilities in at least two (2) languages and considerable experience of AWS.

This really is a unique opportunity for a highly skilled, energetic and motivated Principal Data Engineer/Senior Lead Data Engineer with deep hands-on expertise in data engineering and architecture.

Responsibilities

  • Technical Leadership: Assist the Head of Data Engineering in overseeing the design, development, and optimisation of data software, data infrastructure and pipelines.
  • Team Technical Leadership: Lead and mentor a team of talented data experts, both permanents and contractors, to deliver innovative solutions, ensuring best practices in data engineering and software development are followed. Lead by example - happy to be hands-on.
  • Hands-On Delivery: Lead by example - contribute directly to technical challenges, write high-quality code, and guide architectural decisions.
  • Data Strategy, Solutions & Ownership: Own the technical roadmap, aligning engineering efforts with business goals and ensuring timely delivery, quality control, and innovation. Inspire the team by providing a sharp vision for technical excellence and innovation in the data engineering strategy.
  • Cloud: Optimise cloud-based data solutions, storage and processing systems, with hands-on experience in AWS and on-prem services.
  • Collaboration: Work closely with the customers, PMO, and business stakeholders to deliver high-impact, cost-effective solutions.
  • First Major Engagement: You will contribute to one of the UK Government's largest and most ambitious digital data transformation initiatives across England and Wales. You will empower the engineering team to deliver innovative solutions while fostering a collaborative and inclusive environment. As a mentor, you will support Data Engineers and Data Analysts in overcoming technical challenges and ensuring timely, high-quality delivery.

About You

We are looking for a passionate, technically strong leader who can inspire and elevate those around them. You will bring:

  • Depth of Expertise: Extensive experience in designing, implementing, and optimizing data solutions, supported by a history of successfully managing technical teams and delivery of data projects.
  • Exceptional coding skills.
  • Degree in Computer Science, Software Engineering, or similar (applied to Data or with a Data Specialisation).
  • Extensive experience in Data Engineering and Data Analytics.
  • Expert knowledge in data technologies and data transformation solutions and tools.
  • Strong analytical and problem-solving abilities.
  • Good understanding of Quality and Information Security principles.
  • Effective communication, ability to explain technical concepts to a range of audiences.
  • Able to provide coaching and training to less experienced members of the team.
  • Essential skills:
  • Programming Languages such as Spark, Java, Python, PySpark, Scala or similar (minimum of 2).
  • Extensive Data Engineering and Data Analytics hands-on experience.
  • Significant AWS hands-on experience.
  • Technical Delivery Manager skills.
  • Geospatial Data experience (including QGIS).
  • FME.
  • Advanced Database and SQL skills.
  • Certifications: AWS or FME certifications are a real plus.
  • Experience with ETL tools such as AWS Glue, Azure Data Factory, Databricks or similar is a bonus.

The role comes with excellent benefits to support your well-being and career growth.

Details

Please note: You MUST reside/live in the UK, and you MUST have the Right to Work in the UK long-term without the need for Company Sponsorship.

Bowerford Associates Limited is acting as an Employment Business in relation to this vacancy.

Keywords

The following keywords may help: Principal Geospatial Data Engineer, Geospatial, GIS, QGIS, FME, AWS, On-Prem Services, Software Engineering, Data Engineering, Data Analytics, Spark, Java, Python, PySpark, Scala, ETL Tools, AWS Glue.


#J-18808-Ljbffr

Related Jobs

View all jobs

Principal Geospatial Data Engineer

Principal Data Architect - GDS - G6

Principal Scientist, NGS Biostatistician

Principal Data Engineer/Architect

Principal Statistician

Principal Statistician

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

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

Industry Insights

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

Data Science Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK data science hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise rigorous problem framing, high‑quality analytics & modelling, experiment/causality, production awareness (MLOps), governance/ethics, and measurable product or commercial impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for product/data scientists, applied ML scientists, decision scientists, econometricians, growth/marketing analysts, and ML‑adjacent data scientists supporting LLM/AI products. Who this is for: Product/decision/data scientists, applied ML scientists, econometrics & causal inference specialists, experimentation leads, analytics engineers crossing into DS, ML generalists with strong statistics, and data scientists collaborating with platform/MLOps teams in the UK.

Why Data Science Careers in the UK Are Becoming More Multidisciplinary

Data science once meant advanced statistics, machine learning models and coding in Python or R. In the UK today, it has become one of the most in-demand professions across sectors — from healthcare to finance, retail to government. But as the field matures, employers now expect more than technical modelling skills. Modern data science is multidisciplinary. It requires not just coding and algorithms, but also legal knowledge, ethical reasoning, psychological insight, linguistic clarity and human-centred design. Data scientists are expected to interpret, communicate and apply data responsibly, with awareness of law, human behaviour and accessibility. In this article, we’ll explore why data science careers in the UK are becoming more multidisciplinary, how these five disciplines intersect with data science, and what job-seekers & employers need to know to succeed in this transformed field.

Data Science Team Structures Explained: Who Does What in a Modern Data Science Department

Data science is one of the most in-demand, dynamic, and multidisciplinary areas in the UK tech and business landscape. Organisations from finance, retail, health, government, and beyond are using data to drive decisions, automate processes, personalise services, predict trends, detect fraud, and more. To do that well, companies don’t just need good data scientists; they need teams with clearly defined roles, responsibilities, workflows, collaboration, and governance. If you're aiming for a role in data science or recruiting for one, understanding the structure of a data science department—and who does what—can make all the difference. This article breaks down the key roles, how they interact across the lifecycle of a data science project, what skills and qualifications are typical in the UK, expected salary ranges, challenges, trends, and how to build or grow an effective team.