Future Tech Jobs Future Tech Jobs

Lead Data Engineer

Searchability NS&D
Gloucester, United Kingdom
Last week
£65,000 – £85,000 pa
Applications closed

Related Jobs

View all jobs

Lead Data Engineer

Edison Hill Search Lime Street, City And County Of the City Of London, United Kingdom
£90,000 – £100,000 pa Hybrid

Lead Data Platform Engineer | |+ 4 day week

Akkodis United Kingdom
£70,000 – £85,000 pa Remote

Data Engineering Lead

Corecom Consulting York, North Yorkshire, YO1 8RS, United Kingdom
£75,000 – £90,000 pa

Data Engineer

Pontoon Bristol, Bristol (county), United Kingdom
£600 – £650 pd

Data Engineer - Junior

Orbit Group Binley Woods, Warwickshire, United Kingdom
£37,500 – £40,779 pa

Salary

£65,000 – £85,000 pa

Job Type
Permanent
Work Location
Hybrid
Seniority
Lead
Education
Degree
Security Clearance
Required
Posted
30 Apr 2026 (Last week)

Benefits

6% bonus 25 days holiday Clearance bonus
Share
Save job
Create job alert
  • Gloucester location - hybrid working when possible
  • Must hold active Enhanced DV Clearance (West)
  • Competitive Salary DOE - 6% bonus, 25 days holiday, clearance bonus
  • Experience in Data Pipelines, ETL processing, Data Integration, Apache, SQL/NoSQL, Team Leadership

Who Are We?

Our client is a trusted and growing supplier to the National Security sector, delivering mission-critical solutions that help keep the nation safe, secure, and prosperous. You'll work with cutting-edge technologies, including AI/Data Science, Cyber, Cloud, DevOps/SRE, and Platform Engineering. They have long-term contracts secured across the latest customer framework and are set for significant growth.

What will the Lead Data Engineer be Doing?

You will develop mission-critical data solutions for National Security clients, working with cutting-edge technologies such as AI/DS, Cyber, Cloud, DevOps/SRE, and Platform Engineering. You'll collaborate directly with customers across National Security, Defence, and Intelligence to solve complex, high-stakes challenges. The role involves designing and implementing sophisticated data pipelines to connect operational systems with analytics and business intelligence platforms.

Responsibilities include:

  • Design, build, and maintain data pipelines, including ingestion, orchestration, and enrichment
  • Develop data-streaming and ETL solutions (e.g. NiFi)
  • Model databases and integrate data from diverse sources
  • Ensure data quality, consistency, and security
  • Monitor and optimise system performance
  • Write clean, secure, reusable, test-driven code
  • Apply systems integration expertise within agile teams
  • Decompose user needs into epics and stories
  • Promote reuse of data flows and best practices across teams
  • Champion data engineering standards across government

The Lead Data Engineer Should Have:

  • Active eDV clearance (West)
  • Willingness to work full-time on-site in Gloucester when required.

Required experience in the following:

  • Apache Kafka
  • Apache NiFI
  • SQL and NoSQL databases (e.g. MongoDB)
  • ETL processing languages such as Groovy, Python or Java
  • Understand and interpret technical and business stakeholder needs
  • Manage expectations through clear, proactive communication
  • Lead and support challenging conversations with teams and senior stakeholders

To be Considered:

Please either apply by clicking online or emailing me directly to . For further information please call me on / - I can make myself available outside of normal working hours to suit from 7am until 10pm. If unavailable, please leave a message and either myself or one of my colleagues will respond. By applying for this role, you give express consent for us to process & submit (subject to required skills) your application to our client in conjunction with this vacancy only. Also feel free to follow me on Twitter @SearchableHenry or connect with me on LinkedIn, just search Henry Clay-Davies (searchability). I look forward to hearing from you.

KEY SKILLS:

DATA ENGINEER / DATA ENGINEERING / DEFENCE / NATIONAL SECURITY / DATA STRATEGY / DATA PIPELINES / DATA GOVERNANCE / SQL / NOSQL / APACHE / NIFI / KAFKA / ETL / GLOUCESTER / DV / SECURITY CLEARED / DV CLEARANCE

Industry Insights

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

Products

Where to Advertise Data Engineering Jobs in the UK (2026 Guide)

Advertising data engineering jobs in the UK requires a different approach to most technical hiring. Data engineers occupy a distinct discipline that sits between software engineering, data science and cloud infrastructure — and the strongest candidates identify firmly with the data engineering community rather than with adjacent roles. General job boards consistently conflate data engineering with data analysis, data science and BI development, producing high application volumes but low candidate quality for specialist pipeline and platform roles. This guide, published by DataEngineeringJobs.co.uk, covers where to advertise data engineering roles in the UK in 2026, how the main platforms compare, what employers should expect to pay, and what the data says about hiring across different role types.

Jobs

Data Engineering Jobs UK 2026: What to Expect Over the Next 3 Years

Data engineering has become one of the most strategically important disciplines in the entire technology sector — and one of the most reliably in-demand. Every organisation that wants to use data to make decisions, train AI models, personalise products, manage risk, or understand its customers depends on data engineers to build the infrastructure that makes any of that possible. Without well-designed, reliable data pipelines, the most sophisticated machine learning model is worthless and the most ambitious analytics strategy is undeliverable. That foundational importance has made data engineering hiring remarkably resilient through the technology market corrections of the past few years. Where headcount reductions fell heavily on some engineering disciplines, demand for data engineers held firm — because the work of building and maintaining data infrastructure cannot be deferred in the way that some product development can. The data keeps coming. The pipelines need to work. But the data engineering jobs market of 2026 is not simply a stable version of what it was three years ago. The discipline has undergone a series of architectural shifts — from batch to streaming, from on-premise data warehouses to cloud-native lakehouses, from hand-rolled pipelines to declarative transformation frameworks, and most recently toward AI-augmented data engineering workflows that are beginning to reshape what the role looks like in practice. The employers hiring data engineers today are asking for a meaningfully different skill set than those hiring three years ago. The candidates who will thrive over the next three years are those who understand where the discipline is heading — which architectural patterns are becoming standard, which technologies are defining the modern data stack, and how the definition of a data engineering career is evolving toward a richer intersection of infrastructure, analytics, and AI enablement. This article breaks down what the UK data engineering jobs market is likely to look like through to 2028 — covering the titles emerging right now, the technologies driving employer demand, the skills that will matter most, and how to position your career ahead of the curve.

Jobs

New Data Engineering Employers to Watch in 2026: UK and Global Companies Driving the Data Revolution

Data engineering is at the heart of the digital economy, transforming raw data into actionable insights, powering analytics, AI systems, and cloud infrastructure. As the UK and global markets continue to invest heavily in data platforms, pipelines, and real-time analytics, demand for skilled data engineers is growing rapidly. For professionals exploring opportunities on www.DataEngineeringJobs.co.uk , the critical question is: which companies are expanding, hiring, and shaping the future of data-driven business? This article highlights new data engineering employers to watch in 2026, including UK startups, scale-ups, and international firms expanding in the UK.

🍪 Basic, anonymous analytics (aggregate counts only, never shared) are always on. Accept to also enable third-party tools — Google Analytics, Microsoft Clarity, Mixpanel, Leadfeeder — which help us match you with relevant Data Engineering roles. We never sell your data or use it for cross-site advertising. See our Cookie Policy.