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

Apply Now

Lead Data Engineer

Bristol
6 months ago
Applications closed

Related Jobs

View all jobs

Lead Data Engineer

Lead Data engineer

Lead Data Engineer - Microsoft Fabric - Hybrid - £75k

Lead Data Engineer

Lead Data Engineer

Lead Data Engineer

Lead the Future of Data | Lead Data Engineer | Bristol (Hybrid)

£65,000 – £80,000 + Excellent Benefits | Hybrid

Are you an experienced Data Engineer ready to step into a strategic, hands-on leadership role? We're working with a purpose-driven organisation that’s reshaping how data supports environmental and regulatory innovation — and they need a Data Engineering Lead to help deliver their next-generation data platform.

This is a chance to join a tech-forward, impact-led business based in the heart of Bristol. You’ll play a pivotal role in shaping and delivering a brand-new cloud-native data platform — the backbone of digital tools that serve major UK brands and internal teams alike.

What you’ll be doing:

Lead the design and build of secure, scalable data pipelines using Azure Data Factory, Snowflake, and DBT
Collaborate across Product, BI, Cloud, and IT to deliver data solutions that power real-world impact
Optimise performance, enforce governance, and ensure seamless integration of APIs, external systems, and databases
Own and evolve CI/CD pipelines using Azure DevOps, Git, and modern data practices
Translate complex data into intuitive dashboards and tools with Power BI
Be hands-on in everything from modelling and scripting to permissions and performance tuning
What we’re looking for:

8+ years of experience in data engineering, with deep technical expertise across SQL, Snowflake, Azure, DBT, and Power BI
Strong Python skills and experience integrating third-party systems via APIs
A confident communicator who can bridge technical and non-technical teams
Proven ability to deliver efficient, scalable solutions in fast-paced, regulated environments
Someone who values diligence, accountability, and proactivity as much as technical excellence
Why join?

A rare blend of purpose, scale, and flexibility
£65,000 – £80,000 salary + up to 10% bonus
28 days holiday + bank holidays
7% employer pension, 5x salary life insurance, health cash plan, critical illness cover
Flexible, hybrid working + £250 home working setup
Volunteer days, workcations, and a positive, impact-driven culture
This role offers a unique opportunity to shape both technology and purpose. If you're excited by meaningful data work and want to be part of something bigger, we’d love to hear from you.

If you are interested, but don’t think you tick all the boxes, we are still keen to hear from you. Please apply directly to this advert, or reach out to Adam Townsend:

(phone number removed)

(url removed)

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.

Neurodiversity in Machine Learning Careers: Turning Different Thinking into a Superpower

Machine learning is about more than just models & metrics. It’s about spotting patterns others miss, asking better questions, challenging assumptions & building systems that work reliably in the real world. That makes it a natural home for many neurodivergent people. If you live with ADHD, autism or dyslexia, you may have been told your brain is “too distracted”, “too literal” or “too disorganised” for a technical career. In reality, many of the traits that can make school or traditional offices hard are exactly the traits that make for excellent ML engineers, applied scientists & MLOps specialists. This guide is written for neurodivergent ML job seekers in the UK. We’ll explore: What neurodiversity means in a machine learning context How ADHD, autism & dyslexia strengths map to ML roles Practical workplace adjustments you can ask for under UK law How to talk about neurodivergence in applications & interviews By the end, you’ll have a clearer sense of where you might thrive in ML – & how to turn “different thinking” into a genuine career advantage.

Machine Learning Hiring Trends 2026: What to Watch Out For (For Job Seekers & Recruiters)

As we move into 2026, the machine learning jobs market in the UK is going through another big shift. Foundation models and generative AI are everywhere, companies are under pressure to show real ROI from AI, and cloud costs are being scrutinised like never before. Some organisations are slowing hiring or merging teams. Others are doubling down on machine learning, MLOps and AI platform engineering to stay competitive. The end result? Fewer fluffy “AI” roles, more focused machine learning roles with clear ownership and expectations. Whether you are a machine learning job seeker planning your next move, or a recruiter trying to build ML teams, understanding the key machine learning hiring trends for 2026 will help you stay ahead.

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

Summary: UK machine learning hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise shipped ML/LLM features, robust evaluation, observability, safety/governance, cost control and measurable business impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for ML engineers, applied scientists, LLM application engineers, ML platform/MLOps engineers and AI product managers. Who this is for: ML engineers, applied ML/LLM engineers, LLM/retrieval engineers, ML platform/MLOps/SRE, data scientists transitioning to production ML, AI product managers & tech‑lead candidates targeting roles in the UK.