Databricks Data Engineer -London Up to £100K...

Tenth Revolution Group
London, United Kingdom
4 months ago
Applications closed

Related Jobs

View all jobs

Senior Solutions Engineer - Qatar & S.Africa Fly-in

Databricks United Kingdom
Hybrid

Data Platform Solutions Architect (Professional Services) - Emerging Enterprise & DNB

Databricks London, United Kingdom

Staff Enablement Program Management

Databricks London, United Kingdom

Strategic Enterprise Lakebase Account Executive

Databricks London, United Kingdom

Lead Solutions Architect (Digital Natives Business)

Databricks London, United Kingdom

Senior Solutions Architect (Utilities/Energy)

Databricks London, United Kingdom
Posted
21 Jan 2026 (4 months ago)

Databricks Data Engineer London | Senior Manager | Up to £100K + Bonus Ready to take your data engineering career to the next level?Join a global consultancy on a major transformation project within the insurance domain. This is your chance to work with cutting-edge technologies, influence strategic decisions, and make a real impact in a collaborative, forward-thinking environment. Why This Role? Be part of a high-profile project driving innovation in data and analytics.Work with a global leader in digital transformation.Enjoy senior-level responsibilities, clear progression, and exposure to decision-makers.Competitive package: Up to £100K base + 12% bonus + benefits.Hybrid role based in London. What You'll Do Design and develop data pipelines and transformation workflows using Azure Databricks.Collaborate with cross-functional teams to deliver data-driven solutions.Work on cloud-based data storage and processing platforms.Contribute to strategic decision-making and innovation in the insurance domain. What We're Looking For Proven Data Engineer with 5+ years of hands-on Databricks experience.Insurance domain expertise - essential.Strong background in data management, ETL, and SQL.Familiarity with Azure and Microsoft BI tools.Immediate startNo VISA sponsorship. This is more than a job - it's a chance to shape the future of data engineering.Apply today and join a team where your ideas matter

Industry Insights

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

Where to Advertise Machine Learning Jobs in the UK (2026 Guide)

Where to advertise machine learning jobs UK in 2026: the specialist boards and communities that reach ML, MLOps and deep learning engineering talent. The candidate pool is small, highly specialised and in demand across AI labs, financial services, healthcare, autonomous systems and consumer technology simultaneously. Machine learning engineers and researchers move between roles through professional networks, conference communities and specialist platforms — not general job boards where ML roles compete with unrelated software engineering positions for the same audience. This guide, published by MachineLearningJobs.co.uk, covers where to advertise machine learning 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.

Machine Learning Jobs UK 2026: What to Expect Over the Next 3 Years

Machine Learning Jobs UK 2026: roles, salaries and the MLOps, LLM and generative AI hiring trends shaping UK ML careers over the next three years. Machine learning has undergone a transformation that few technology disciplines can match. In the space of three years it has moved from a specialism sitting at the edges of most organisations' technology strategies to a capability that sits at the centre of them. The tools have changed, the expectations have shifted, and the range of industries treating machine learning as a core business function — rather than an experimental one — has expanded dramatically. For job seekers, this creates both opportunity and complexity in roughly equal measure. The machine learning jobs market of 2026 is significantly larger than it was three years ago, but it is also significantly more demanding. Employers have developed more sophisticated expectations, the technical bar for specialist roles has risen, and the landscape of tools, frameworks, and architectural patterns that practitioners are expected to know has broadened considerably. The candidates who will thrive over the next three years are those who understand where the discipline is heading — which specialisms are attracting the most investment, which technologies are reshaping what machine learning engineers and researchers are expected to build, and how the definition of a machine learning career is evolving beyond the model-building core toward a much wider range of roles across the full ML lifecycle. This article breaks down what the UK machine learning 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.