Data Engineer (Microsoft Fabric, Data Warehousing, Databricks, ETL, Data Engineering)

CV-Library
London
12 months ago
Applications closed

Related Jobs

View all jobs

Data Engineer

Sanderson Cardiff, Cymru / Wales, CF10 2AF, United Kingdom
£60,000 – £72,000 pa Hybrid

Data Engineer

Saffron housing Norwich, United Kingdom
£56,000 pa On-site

Data Engineer

Harnham - Data & Analytics Recruitment London, United Kingdom
£70,000 – £90,000 pa Hybrid

Data Engineer

Harnham - Data & Analytics Recruitment Manchester, United Kingdom
£70,000 – £90,000 pa Hybrid

Data Engineer

Sanderson Bristol, United Kingdom
£45,000 – £48,000 pa Permanent

Data Engineer

Vermelo RPO Salford, United Kingdom
£40,000 – £60,000 pa Remote
Posted
29 Apr 2025 (12 months ago)

Data Engineer (Microsoft Fabric, Data Warehousing, Databricks, ETL, Data Engineering) – Clear career progression to Architect level!

A Data Engineer (Microsoft Fabric, Data Warehousing, Databricks, ETL, Data Engineering) is needed by a fast-growing Microsoft partner delivering major cloud data projects. They're award-winning, Microsoft-certified, and offer a clear path to becoming a Fabric Architect.

You must have:
· 3-4 years' hands-on Data Engineering experience.
· Strong Microsoft Fabric knowledge – Synapse, Notebooks, Pipelines, Lakehouses, SQL.
· Data Warehousing skills – building and managing environments.
· Databricks expertise – advanced data processing and analytics.
· Consultancy experience (ideal) or strong end-customer project background.
You’ll get full training on Microsoft Fabric, clear progression to Architect roles, and access to certifications. You'll work alongside top engineers in a business that promotes innovation, collaboration, and rapid career growth.
The day-to-day: You'll be in the London office three days a week and visit client sites as needed. You'll deliver high-quality data engineering solutions, working as part of a sharp, passionate team that gets things done and delivers real business impact.

Why this role?
· Clear progression to Data / Fabric Architect roles.
· Work on the latest Microsoft Fabric projects.
· Strong team culture focused on delivery and growth.
· Salary up to £60k depending on experience.
· Permanent, secure role with real development opportunities.
Apply now and take the next step towards becoming a Microsoft Fabric expert

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 Machine Learning Jobs in the UK (2026 Guide)

Advertising machine learning jobs in the UK requires a different approach to most technical hiring. 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.

New Machine Learning Employers to Watch in 2026: UK and Global Companies Driving ML Innovation

Machine learning (ML) has transitioned from a specialised field into a core business capability. In 2026, organisations across healthcare, finance, robotics, autonomous systems, natural language processing, and analytics are expanding their machine learning teams to build scalable intelligent products and services. For professionals exploring opportunities on www.MachineLearningJobs.co.uk , understanding the companies that are scaling, winning investment, or securing high‑impact contracts is crucial. This article highlights the new and high‑growth machine learning employers to watch in 2026, focusing on UK innovators, international firms with significant UK presence, and global platforms investing in machine learning talent locally.

How Many Machine Learning Tools Do You Need to Know to Get a Machine Learning Job?

Machine learning is one of the most exciting and rapidly growing areas of tech. But for job seekers it can also feel like a maze of tools, frameworks and platforms. One job advert wants TensorFlow and Keras. Another mentions PyTorch, scikit-learn and Spark. A third lists Mlflow, Docker, Kubernetes and more. With so many names out there, it’s easy to fall into the trap of thinking you must learn everything just to be competitive. Here’s the honest truth most machine learning hiring managers won’t say out loud: 👉 They don’t hire you because you know every tool. They hire you because you can solve real problems with the tools you know. Tools are important — no doubt — but context, judgement and outcomes matter far more. So how many machine learning tools do you actually need to know to get a job? For most job seekers, the real number is far smaller than you think — and more logically grouped. This guide breaks down exactly what employers expect, which tools are core, which are role-specific, and how to structure your learning for real career results.