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

Apply Now

Lead Data Engineer - Azure & Databricks

London
1 year ago
Applications closed

Related Jobs

View all jobs

Lead Data Engineer

Lead Data Engineer

Lead Data Engineer

Lead Data engineer

Lead Data Engineer

Lead Data Engineer

An industry-leading research, data & insights organisation are looking for a Lead Data Engineer to join their team in London - this is a hybrid role, with 2 days per week in their Central London office to collaborate with the team, and 3 days working from home.

This organisation have invested a lot into their data function in recent years, and are utilising the latest cutting-edge Azure technologies. As a Lead Data Engineer, you will manage a team of highly-skilled Data Engineers, to deliver innovative data-driven solutions to improve business outcomes.

You'll spend around half your time being technically hands-on, and around half your time on your management responsibilities. This will include fostering best-practice, and contributing to the organisation's wider data strategy and roadmap.

This is a brilliant opportunity for an experienced Data Engineer with Management experience, who is keen to progress their career with a company who will encourage you to provide thought leadership, and to innovate and experiment with new technologies.

Requirements

Excellent SQL and Python scripting skills
Experience designing and developing data warehouses and data lakes / lakehouses
Experience designing solutions involving databricks and PySpark
Experience with Azure technologies including Data Lake, Data Factory, and Synapse
Experience with data visualisation tools such as Power BI
Knowledge of Agile methodology
Excellent communication and problem-solving skillsBenefits

Salary up to £95,000 depending on experience
25 days annual leave plus additional 3 to be taken over Christmas - New Year
Private healthcare
Pension scheme
Annual discretionary bonus

Please Note: This is a permanent role for UK residents only. This role does not offer Sponsorship. You must have the right to work in the UK with no restrictions. Some of our roles may be subject to successful background checks including a DBS and Credit Check.

Nigel Frank are the go-to recruiter for Power BI and Azure Data Platform roles in the UK, offering more opportunities across the country than any other. We're the proud sponsor and supporter of SQLBits, and the London Power BI User Group. To find out more and speak confidentially about your job search or hiring needs, please contact me directly at

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.

Jobs

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.

Jobs

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.

Jobs

Why Machine Learning Careers in the UK Are Becoming More Multidisciplinary

Machine learning (ML) has moved from research labs into mainstream UK businesses. From healthcare diagnostics to fraud detection, autonomous vehicles to recommendation engines, ML underpins critical services and consumer experiences. But the skillset required of today’s machine learning professionals is no longer purely technical. Employers increasingly seek multidisciplinary expertise: not only coding, algorithms & statistics, but also knowledge of law, ethics, psychology, linguistics & design. This article explores why UK machine learning careers are becoming more multidisciplinary, how these fields intersect with ML roles, and what both job-seekers & employers need to understand to succeed in a rapidly changing landscape.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.