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

Apply Now

Senior Data Engineer

Harnham
Blackburn
3 months ago
Applications closed

Related Jobs

View all jobs

Senior Data Engineer

Senior Data Engineer

Senior Data Engineer

Senior Data Engineer

Senior Data Engineer – SC Cleared

Senior Data Engineer/ Scientist

SENIOR DATA ENGINEER

UP TO £55,000 + BENEFITS

HYBRID - Lancashire

If you're a technically strong, proactive Data Engineer looking to join a scaling fintech with start-up energy and enterprise backing, this could be a great next step.

THE COMPANY:

I'm working on a fantastic opportunity with a high-growth fintech that's transforming how consumers engage with retail and finance. With a modern data stack and ambitious product roadmap, this company is building the future of payments, loyalty, and credit in an agile, tech-driven environment.

THE ROLE:

You'll join a cross-functional data team as aData Engineer, working closely with analytics, product, and platform teams to scale and optimise core data infrastructure. This is a hands-on role where you'll take ownership of ingestion, transformation, and modelling-while also helping define platform standards and best practices.

Key responsibilities include:

  • Build and maintain ELT pipelines
  • Take full ownership of data ingestion
  • Support data modelling and architecture within Snowflake
  • Own and evolve the dbt layer, including governance and access controls
  • Collaborate across analytics, product, and engineering teams
  • Contribute to platform improvements, automation, and optimisation

YOUR SKILLS AND EXPERIENCE:

A successful Senior Data Engineer will bring:

  • Strong SQL skills
  • Experience with dbt in a production environment
  • Snowflake experience is desirable
  • Exposure to AWS
  • Confident mentoring peers and contributing to a collaborative, high-impact team
  • Experience working in fast-paced, agile environments with modern data workflows

THE BENEFITS:

You will receive a salary of up to£55,000depending on experience, along with a comprehensive benefits package.

HOW TO APPLY:

Please register your interest by sending your CV to Molly Bird via the apply link on this page.

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.