Databricks Data Engineer

London
9 months ago
Applications closed

Related Jobs

View all jobs

Databricks Data Engineer

Databricks Data Engineer: Lakehouse & Pipelines

Databricks Data Engineer - Cloud Pipelines

Databricks Data Engineer – Lakehouse & GenAI Powerhouse

Azure/Databricks Data Engineer

Senior Data Engineer

An esteemed Data Consultancy are seeking a number of ambitious Databricks Data Engineers to join their team. They are both a Microsoft Partner and a Databricks Partner, and are experts in helping their clients to better manage and uncover the value in their data.

They pride themselves on developing tailor-made data-driven solutions to suit the specific needs of their clients, with a growing client base largely within Financial Services, amongst other industries.

In this role, you will be working in a team of highly skilled professionals to deliver effective market-leading data solutions using the latest cutting-edge technologies. This particular role will focus on leveraging the Databricks Data Intelligence platform, and Azure Data Platform technologies.

You will split your time between client-site, home and the London office depending on requirements, and are asked to keep an open-mind in this regard.

This is a brilliant opportunity to develop your career with a fast-moving and forwards-thinking consultancy who will invest in your personal and professional development - you will have a dedicated careers coach and industry-leading training to ensure that you are able to reach your full potential.

Requirements:

Strong experience with both SQL and Python
Prior experience designing solutions on the Databricks Data Intelligence platform, either on Azure or AWS
Good knowledge of Databricks components including DeltaLake, Unity Catalogue, ML Flow etc.
Experience building data pipelines and ETL processes
Experience with any of the following is highly desirable: Snowflake, Kafka, Azure Data Factory, Azure Synapse, Microsoft Fabric
Desire to be client-facing with brilliant communication skillsBenefits:

Salary up to £60,000 depending on experience
25 days' holiday plus bank holidays
Discretionary bonus
Contributory pension scheme
Private medical health insurance

Please Note: This is 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.

Tenth Revolution Group (and 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.

What Hiring Managers Look for First in Machine Learning Job Applications (UK Guide)

Whether you’re applying for machine learning engineer, applied scientist, research scientist, ML Ops or data scientist roles, hiring managers scan applications quickly — often making decisions before they’ve read beyond the top third of your CV. In the competitive UK market, it’s not enough to list skills. You must send clear signals of relevance, delivery, impact, reasoning and readiness for production — and do it within the first few lines of your CV or portfolio. This guide walks you through exactly what hiring managers look for first in machine learning applications, how they evaluate CVs and portfolios, and what you can do to improve your chances of getting shortlisted at every stage — from your CV and LinkedIn profile to your cover letter and project portfolio.

MLOps Jobs in the UK: The Complete Career Guide for Machine Learning Professionals

Machine learning has moved from experimentation to production at scale. As a result, MLOps jobs have become some of the most in-demand and best-paid roles in the UK tech market. For job seekers with experience in machine learning, data science, software engineering or cloud infrastructure, MLOps represents a powerful career pivot or progression. This guide is designed to help you understand what MLOps roles involve, which skills employers are hiring for, how to transition into MLOps, salary expectations in the UK, and how to land your next role using specialist platforms like MachineLearningJobs.co.uk.

The Skills Gap in Machine Learning Jobs: What Universities Aren’t Teaching

Machine learning has moved from academic research into the core of modern business. From recommendation engines and fraud detection to medical imaging, autonomous systems and language models, machine learning now underpins many of the UK’s most critical technologies. Universities have responded quickly. Machine learning modules are now standard in computer science degrees, specialist MSc programmes have proliferated, and online courses promise to fast-track careers in the field. And yet, despite this growth in education, UK employers consistently report the same problem: Many candidates with machine learning qualifications are not job-ready. Roles remain open for months. Interview processes filter out large numbers of applicants. Graduates with strong theoretical knowledge struggle when faced with practical tasks. The issue is not intelligence or effort. It is a persistent skills gap between university-level machine learning education and real-world machine learning jobs. This article explores that gap in depth: what universities teach well, what they routinely miss, why the gap exists, what employers actually want, and how jobseekers can bridge the divide to build successful careers in machine learning.