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

Apply Now

Data Engineer - UK Perm - Manchester Hrbrid

Manchester
7 months ago
Applications closed

Related Jobs

View all jobs

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Job Title Senior Data Engineer (Ms Fabric)

Location Hybrid (Manchester )

Salary Up to £70K + Benefits + Bonus

Job Type Perm UK ONLY Please note we cannot offer sponsorship for this position

A fast-growing technology-driven organisation is looking for a Senior Data Engineer to play a key role in delivering multiple data and cloud projects. As they expand their engineering capability, they are seeking a technical expert with strong problem-solving skills and a deep understanding of data architecture, engineering, and governance.

Why Join?

Work on cutting-edge data and cloud projects in a fast-paced environment.
Develop expertise across Data Architecture, Solution Architecture, and Data Governance.
Excellent career progression opportunities and a collaborative team culture.

Key Responsibilities

Design, build, and maintain scalable data solutions to support business objectives.
Work with Microsoft Fabric to develop robust data pipelines.
Utilise Apache Spark and the Spark API to handle large-scale data processing.
Contribute to data strategy, governance, and architecture best practices.
Identify and resolve data engineering challenges, applying systematic problem-solving approaches.
Collaborate with cross-functional teams to deliver projects on time.

Key Requirements

✅ Hands-on experience with Microsoft Fabric.
✅ Strong expertise in Apache Spark and Spark API.
✅ Knowledge of data architecture, engineering best practices, and governance.
✅ DP-600 & DP-700 certifications are highly desirable.
✅ Strong analytical and problem-solving skills, with the ability to work in a team-oriented environment.
✅ Ability to deliver high-quality solutions within agreed timelines.

Package & Work Setup

💰 Salary: Up to £70K + Benefits (depending on experience)
📍 Hybrid - Manchester (with flexibility for remote working)
🚀 Excellent career progression & professional development opportunities

🔹 Interested? Apply now or get in touch to learn more

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 Hiring Trends 2026: What to Watch Out For (For Job Seekers & Recruiters)

As we move into 2026, the machine learning jobs market in the UK is going through another big shift. Foundation models and generative AI are everywhere, companies are under pressure to show real ROI from AI, and cloud costs are being scrutinised like never before. Some organisations are slowing hiring or merging teams. Others are doubling down on machine learning, MLOps and AI platform engineering to stay competitive. The end result? Fewer fluffy “AI” roles, more focused machine learning roles with clear ownership and expectations. Whether you are a machine learning job seeker planning your next move, or a recruiter trying to build ML teams, understanding the key machine learning hiring trends for 2026 will help you stay ahead.

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.