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

Senior Data Engineer

Senior Data Engineer

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.

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

Are you considering a career change into machine learning in your 30s, 40s or 50s? You’re not alone. In the UK, organisations across industries such as finance, healthcare, retail, government & technology are investing in machine learning to improve decisions, automate processes & unlock new insights. But with all the hype, it can be hard to tell which roles are real job opportunities and which are just buzzwords. This article gives you a practical, UK-focused reality check: which machine learning roles truly exist, what skills employers really hire for, how long retraining realistically takes, how to position your experience and whether age matters in your favour or not. Whether you come from analytics, engineering, operations, research, compliance or business strategy, there is a credible route into machine learning if you approach it strategically.

How to Write a Machine Learning Job Ad That Attracts the Right People

Machine learning now sits at the heart of many UK organisations, powering everything from recommendation engines and fraud detection to forecasting, automation and decision support. As adoption grows, so does demand for skilled machine learning professionals. Yet many employers struggle to attract the right candidates. Machine learning job adverts often generate high volumes of applications, but few applicants have the blend of modelling skill, engineering awareness and real-world experience the role actually requires. Meanwhile, strong machine learning engineers and scientists quietly avoid adverts that feel vague, inflated or confused. In most cases, the issue is not the talent market — it is the job advert itself. Machine learning professionals are analytical, technically rigorous and highly selective. A poorly written job ad signals unclear expectations and low ML maturity. A well-written one signals credibility, focus and a serious approach to applied machine learning. This guide explains how to write a machine learning job ad that attracts the right people, improves applicant quality and strengthens your employer brand.

Maths for Machine Learning Jobs: The Only Topics You Actually Need (& How to Learn Them)

Machine learning job adverts in the UK love vague phrases like “strong maths” or “solid fundamentals”. That can make the whole field feel gatekept especially if you are a career changer or a student who has not touched maths since A level. Here is the practical truth. For most roles on MachineLearningJobs.co.uk such as Machine Learning Engineer, Applied Scientist, Data Scientist, NLP Engineer, Computer Vision Engineer or MLOps Engineer with modelling responsibilities the maths you actually use is concentrated in four areas: Linear algebra essentials (vectors, matrices, projections, PCA intuition) Probability & statistics (uncertainty, metrics, sampling, base rates) Calculus essentials (derivatives, chain rule, gradients, backprop intuition) Basic optimisation (loss functions, gradient descent, regularisation, tuning) If you can do those four things well you can build models, debug training, evaluate properly, explain trade-offs & sound credible in interviews. This guide gives you a clear scope plus a six-week learning plan, portfolio projects & resources so you can learn with momentum rather than drowning in theory.