Data Engineer - Microsoft Fabric

MS Talent
Sheffield
3 days ago
Create job alert

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 £80k depending on experience.

· Permanent, secure role with real development opportunities.


Apply now and take the next step towards becoming a Microsoft Fabric expert!

Related Jobs

View all jobs

Data Engineer

Data Engineer

Data Engineer

Data Engineer SAP {Defence, MoD

Data Engineer (Databricks, AWS) Leicester/Hybrid £55k

Data Engineer (DataBricks,Python) Hull / RELOCATION

Get the latest insights and jobs direct. Sign up for our newsletter.

By subscribing you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Top 10 Best UK Universities for Machine Learning Degrees (2025 Guide)

Explore ten UK universities that deliver world-class machine-learning degrees in 2025. Compare entry requirements, course content, research strength and industry links to find the programme that fits your goals. Machine learning (ML) has shifted from academic curiosity to the engine powering everything from personalised medicine to autonomous vehicles. UK universities have long been pioneers in the field, and their programmes now blend rigorous theory with hands-on practice on industrial-scale datasets. Below, we highlight ten institutions whose undergraduate or postgraduate pathways focus squarely on machine learning. League tables move each year, but these universities consistently excel in teaching, research and collaboration with industry.

How to Write a Winning Cover Letter for Machine Learning Jobs: Proven 4-Paragraph Structure

Learn how to craft the perfect cover letter for machine learning jobs with this proven 4-paragraph structure. Ideal for entry-level candidates, career switchers, and professionals looking to advance in the machine learning sector. When applying for a machine learning job, your cover letter is a vital part of your application. Machine learning is an exciting and rapidly evolving field, and your cover letter offers the chance to demonstrate your technical expertise, passion for AI, and your ability to apply machine learning techniques to solve real-world problems. Writing a cover letter for machine learning roles may feel intimidating, but by following a clear structure, you can showcase your strengths effectively. Whether you're just entering the field, transitioning from another role, or looking to advance your career in machine learning, this article will guide you through a proven four-paragraph structure. We’ll provide practical tips and sample lines to help you create a compelling cover letter that catches the attention of hiring managers in the machine learning job market.

Veterans in Machine Learning: A Military‑to‑Civilian Pathway into AI Careers

Introduction Artificial intelligence is no longer relegated to sci‑fi films—it underpins battlefield decision‑support, fraud detection, and even supermarket logistics. The UK Government’s 2025 AI Sector Deal forecasts an additional £200 billion in GDP by 2030, with machine‑learning (ML) engineers cited as the nation’s second most in‑demand tech role (Tech Nation 2024). The Ministry of Defence’s Defence AI Strategy echoes that urgency, earmarking £1.6 billion for FY 2025–28 to embed ML into planning, logistics, and autonomous systems. If you have ever tuned a radar filter, plotted artillery trajectories, or sifted sensor data for actionable intel, you have already worked with statistical modelling—the backbone of machine learning. This guide shows UK veterans how to reframe military experience for ML roles, leverage MoD transition funding, and land high‑impact positions building the models shaping tomorrow’s defence and commercial landscapes. Quick Win: Bookmark our live board for Machine‑Learning Engineer roles to see who’s hiring today.