Senior Data Engineer - Databricks

London
11 months ago
Applications closed

Related Jobs

View all jobs

Senior RF Data Scientist / Research Engineer

Senior Machine Learning Engineer

Senior Machine Learning Engineer

Data Science Consultant

Senior Machine Learning Engineer (Recommendation)

Senior Technology Specialist - AI

Senior Data Engineer / Consultant (Databricks)

Fully remote - UK

£70,(Apply online only),000 (DOE) + Excellent benefits

Data ignites passion, community fuels collaboration, and growth knows no bounds. Recognized for innovation and rapid growth, this esteemed Consultancy have been named Databricks EMEA Emerging Business Partner of the Year and achieved a second consecutive appearance on the Financial Times FT1000 list.

Looking for Senior Data Engineers to join remotely in the UK. Be the first to have an influential impact on the UK hub.

"As a Data Engineer, you will have the unique opportunity to push the boundaries of technology and lead the way in how data transforms the world. We work with customers who want to innovate and change their industries. So it never gets boring! Sorting out a complex technical puzzle, setting up a new data architecture from scratch, or guiding our customers through adopting the latest technologies is our routine here. Hence, we'd expect you to be more than just a (data) engineer. We'd expect you to breathe and live data, to thrive for knowledge and excellence, and to be keen to build something enduring and impactful for our customers."

Technical Expertise

  • You will have 5+ years of experience in Data Engineering, with a focus on cloud platforms ( ANY of the following: Azure, AWS, GCP)

  • You have a proven track record working with Databricks (PySpark, SQL, Delta Lake, Unity Catalog);

  • You have extensive experience in ETL/ELT development and data pipeline orchestration (e.g., Databricks Workflows, DLT, Airflow, ADF, Glue, and Step Functions.);

  • You’re proficient in SQL and Python, using them to transform and optimize data like a pro;

  • You know your way around CI/CD pipelines and Infrastructure as Code (Terraform, CloudFormation, or Bicep);

  • You’ve hands-on experience integrating Databricks with BI tools (Power BI, Tableau, Looker).

    Consulting & Client-Facing Skills

  • Proven history in consulting, from scoping to gathering requirements, designing solutions, and communicating effectively with stakeholders. I

  • You’ve successfully delivered projects like Data Lakehouse buildouts and cloud data migrations;

  • You excel in explaining technical concepts to non-technical audiences and drive decision-making.

    What they offer?

    You'll have the rare opportunity to join at a time when you can still meaningfully impact our growth trajectory and organizational success.

  • The chance to work remotely (European Travel to head office is there for the taking and a chance to spend time with others!)

  • World-class educational benefits - there’s no shortage of learning opportunities, meaning that you'll get access to Databricks' public and internal courses to learn all the tricks of Distributed Data Processing, MLOps, Apache Spark, Databricks, and Cloud Migration from the best. Additionally, we'll pay for various data & cloud certifications, you'll get dedicated time for learning during work hours, and access to our internal library;

  • Flexible Annual leave days - we’re flexible with how many days you take off if that does not conflict with customer success and the work getting done

  • 4 weeks of paternity leave - because we think it’s important for both parents to be there when it matters the most;

  • Employee Assistance Program (EAP) - life always happens! And we'd like to be there for you when it counts the most. Through EAP, we offer our employees access to psychology, financial, and legal consulting services via phone or in person;

  • Pension scheme enrollment and a comprehensive private health insurance plan

  • Top-notch working equipment - working comfortably means working well. You will get a MacBook Pro, a phone, and a sign-up bonus of 1000 GBP gross (to be paid with your first payroll) to set up your home office or whatever else is needed to give your best;

  • The chance to make an impact in a high-transparency culture - open feedback and no politics are things we value a lot. Additionally, you'll get the chance to work in the field of data & AI and shape the future of a rapidly growing tech company.

    Click 'Apply now' and share your CV.

    Interviews taking place from next week

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.

Where to Advertise AI Jobs in the UK (2026 Guide)

Advertising AI jobs in the UK requires a different approach to most technical hiring. The candidate pool is small, highly informed and in demand across multiple sectors simultaneously. General job boards reach a broad audience but lack the specificity that AI professionals expect — and the filtering mechanisms they rely on. Specialist platforms, direct outreach and academic channels each serve a different part of the market. This guide, published by ArtificialIntelligenceJobs.co.uk, covers where to advertise AI roles in the UK in 2026, how the main platforms compare, what employers should expect to pay, and what the data says about time-to-hire across different role types.

New AI Employers to Watch in 2026: UK and Global Companies Reshaping AI Careers

The artificial intelligence job market in the UK is evolving at an extraordinary pace. With record-breaking investment, government backing, and a surge in enterprise adoption, the landscape of AI employers is shifting rapidly. For candidates exploring opportunities on ArtificialIntelligenceJobs.co.uk, understanding who is hiring next is just as important as understanding what skills are in demand. In this article, we explore the new and emerging AI employers to watch in 2026, focusing on organisations that have recently secured funding, won major contracts, or expanded their UK footprint. From cutting-edge startups to global giants doubling down on Britain, these companies represent the next wave of AI career opportunities.

How Many AI Tools Do You Need to Know to Get an AI Job?

If you are job hunting in AI right now it can feel like you are drowning in tools. Every week there is a new framework, a new “must-learn” platform or a new productivity app that everyone on LinkedIn seems to be using. The result is predictable: job seekers panic-learn a long list of tools without actually getting better at delivering outcomes. Here is the truth most hiring managers will quietly agree with. They do not hire you because you know 27 tools. They hire you because you can solve a problem, communicate trade-offs, ship something reliable and improve it with feedback. Tools matter, but only in service of outcomes. So how many AI tools do you actually need to know? For most AI job seekers: fewer than you think. You need a tight core toolkit plus a role-specific layer. Everything else is optional. This guide breaks it down clearly, gives you a simple framework to choose what to learn and shows you how to present your toolset on your CV, portfolio and interviews.