Senior Data Engineer - Databricks

London
9 months ago
Applications closed

Related Jobs

View all jobs

Senior Data Engineer

Senior Data Engineer

Senior Data Engineer

Senior Data Engineer (Big Data/ Hadoop/ Spark) (Banking)

Senior Data Engineer - Anti-Piracy

Senior Data Engineer/ PowerBI

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.

What Hiring Managers Look for First in Data Engineering Job Applications (UK Guide)

If you’re applying for data engineering jobs in the UK, the first thing to understand is this: Hiring managers don’t read every word of your CV. They scan it. They look for signals of relevance, credibility, delivery and collaboration — and if they don’t see the right signals quickly, your application may never get a second look. In data engineering, hiring managers are especially focused on whether you can build and operate reliable, scalable data systems, handle real-world data challenges and work effectively with analytics, BI, data science and engineering teams. This guide breaks down exactly what they look at first in your application — and how to shape your CV, portfolio and cover letter so you stand out.

The Skills Gap in Data Engineering Jobs: What Universities Aren’t Teaching

Data engineering has quietly become one of the most critical roles in the modern technology stack. While data science and AI often receive the spotlight, data engineers are the professionals who design, build and maintain the systems that make data usable at scale. Across the UK, demand for data engineers continues to rise. Organisations in finance, retail, healthcare, government, media and technology all report difficulty hiring candidates with the right skills. Salaries remain strong, and experienced professionals are in short supply. Yet despite this demand, many graduates with degrees in computer science, data science or related disciplines struggle to secure data engineering roles. The reason is not academic ability. It is a persistent skills gap between university education and real-world data engineering work. This article explores that gap in depth: what universities teach well, what they consistently miss, why the gap exists, what employers actually want, and how jobseekers can bridge the divide to build successful careers in data engineering.

Data Engineering Jobs for Career Switchers in Their 30s, 40s & 50s (UK Reality Check)

Thinking about switching into data engineering in your 30s, 40s or 50s? You’re not alone. In the UK, companies of all sizes — from fintechs to government agencies, retailers to healthcare providers — are building data teams to turn vast amounts of information into insight and value. That means demand for data engineering talent remains strong, but there’s a gap between media hype and the real pathways available to mid-career professionals. This guide gives you the straight UK reality check: which data engineering roles are genuinely open to career switchers, what skills employers actually look for, how long retraining really takes and how to position your experience for success.