Data Engineering Manager

Loughton, Milton Keynes
10 months ago
Applications closed

Related Jobs

View all jobs

Data Engineering Manager

Data Engineering Manager

Data Engineering Manager

Data Engineering Manager...

Data Engineer Manager

Head of Data Engineering - Preston

Data Engineering Manager – Financial Services | Cloud | Snowflake

Head of Data Engineering / Lead Data Engineer

Flexible Hybrid working | Competitive Salary & Benefits

Are you an experienced Data Engineering Leader looking for a strategic role in a high-growth, data-driven organization?

We are seeking a Senior Data Engineering Manager to lead a transformative data strategy within a well-established company in the financial services sector. Reporting to the Chief Data Officer, you will drive the design, development, and implementation of cutting-edge cloud-based data solutions, overseeing a team of skilled engineers.

Why Join Us?

  • Lead a greenfield Snowflake implementation, transforming on-premises systems to a modern cloud-based architecture.

  • Shape data strategy and best practices, influencing business-critical decision-making.

  • Work with the latest data engineering technologies in a dynamic and forward-thinking environment.

  • Enjoy a highly competitive salary, up to 20% bonus, and a 10% pension.

  • Hybrid flexibility – only 2-3 days per month on-site in Milton Keynes.

    What You’ll Do

  • Lead and develop a team of data engineers while providing hands-on technical leadership, fostering collaboration and innovation.

  • Oversee the end-to-end development of scalable, efficient, and secure data pipelines.

  • Manage and optimize the migration to a Snowflake data platform, ensuring high performance and data integrity.

  • Develop and enforce data governance and compliance best practices.

  • Drive cloud migration and data transformation initiatives, ensuring a seamless transition from legacy systems.

    What We’re Looking For

  • Strong proven experience in a senior data engineering role, leading technical teams.

  • Strong expertise in Snowflake, Informatica, SQL, Python, and cloud-based data solutions.

  • Background in data architecture, warehousing, and ETL processes.

  • Ability to translate business requirements into scalable technical solutions.

  • Financial services or regulated industry experience (desirable but not essential).

    Why Join Us?

  • Lead a greenfield Snowflake implementation, transforming on-premises systems to a modern cloud-based architecture.

  • Shape data strategy and best practices, influencing business-critical decision-making.

  • Work with the latest data engineering technologies in a dynamic and forward-thinking environment.

  • Enjoy a highly competitive salary, up to 20% bonus, generous car allowance and a 10% pension.

  • Flexible hybrid flexibility

    How to Apply

    If you’re a forward-thinking data leader looking for an exciting challenge, apply now and be part of a cutting-edge data transformation journey

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.

Neurodiversity in Machine Learning Careers: Turning Different Thinking into a Superpower

Machine learning is about more than just models & metrics. It’s about spotting patterns others miss, asking better questions, challenging assumptions & building systems that work reliably in the real world. That makes it a natural home for many neurodivergent people. If you live with ADHD, autism or dyslexia, you may have been told your brain is “too distracted”, “too literal” or “too disorganised” for a technical career. In reality, many of the traits that can make school or traditional offices hard are exactly the traits that make for excellent ML engineers, applied scientists & MLOps specialists. This guide is written for neurodivergent ML job seekers in the UK. We’ll explore: What neurodiversity means in a machine learning context How ADHD, autism & dyslexia strengths map to ML roles Practical workplace adjustments you can ask for under UK law How to talk about neurodivergence in applications & interviews By the end, you’ll have a clearer sense of where you might thrive in ML – & how to turn “different thinking” into a genuine career advantage.

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.