Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

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

London
6 months ago
Applications closed

Related Jobs

View all jobs

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Data Engineer

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.

Machine Learning Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK machine learning hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise shipped ML/LLM features, robust evaluation, observability, safety/governance, cost control and measurable business impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for ML engineers, applied scientists, LLM application engineers, ML platform/MLOps engineers and AI product managers. Who this is for: ML engineers, applied ML/LLM engineers, LLM/retrieval engineers, ML platform/MLOps/SRE, data scientists transitioning to production ML, AI product managers & tech‑lead candidates targeting roles in the UK.

Why Machine Learning Careers in the UK Are Becoming More Multidisciplinary

Machine learning (ML) has moved from research labs into mainstream UK businesses. From healthcare diagnostics to fraud detection, autonomous vehicles to recommendation engines, ML underpins critical services and consumer experiences. But the skillset required of today’s machine learning professionals is no longer purely technical. Employers increasingly seek multidisciplinary expertise: not only coding, algorithms & statistics, but also knowledge of law, ethics, psychology, linguistics & design. This article explores why UK machine learning careers are becoming more multidisciplinary, how these fields intersect with ML roles, and what both job-seekers & employers need to understand to succeed in a rapidly changing landscape.

Machine Learning Team Structures Explained: Who Does What in a Modern Machine Learning Department

Machine learning is now central to many advanced data-driven products and services across the UK. Whether you work in finance, healthcare, retail, autonomous vehicles, recommendation systems, robotics, or consumer applications, there’s a need for dedicated machine learning teams that can deliver models into production, maintain them, keep them secure, efficient, fair, and aligned with business objectives. If you’re hiring for or applying to ML roles via MachineLearningJobs.co.uk, this article will help you understand what roles are typically present in a mature machine learning department, how they collaborate through project lifecycles, what skills and qualifications UK employers look for, what the career paths and salaries are, current trends and challenges, and how to build an effective ML team.