National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Senior Data Engineer - Leeds

FDM Group
Leeds
3 weeks ago
Create job alert

FDM is a global business and technology consultancy seeking a Senior Data Engineer with GCP experience to work for our client within the finance sector. This is initially a 6-month contract with the potential to extend and will be a hybrid role that will be based in Leeds.


Our client is pioneering the transformation of current processes from their on-premises infrastructure and have started their journey in deploying solutions on the Google Cloud Platform. This role sits within the platform's Analytics Lab, who are looking to create strategic data products and build data and analytics capability. 


Our client is seeking someone who wants to further develop their engineering skillset. They will support you to be able to be able to take on technical challenges and develop your understanding of how data solutions and services are developed, tested, and implemented.


Responsibilities

Design, develop, maintain, and improve data processes to support regulatory and prudential change with high quality solutions and providing oversight and leadership to help others do the same Building data pipelines for current and future analytics and reporting solutions Implement and embody engineering standards, using constructive feedback to create opportunities for learning Work with the Product Owner and customers to understand, refine and prioritise items for the feature team backlog Using strong problem-solving skills and a combination of technical knowledge, experience, and judgement to identify available options and clearly set out the way forward

Related Jobs

View all jobs

Senior Data Engineer

Senior Data Engineer - Azure - Leeds

Senior Data Engineer - Winchester

Senior Data Engineer - Cloud

Senior Data Engineer Consultant

Senior Data Engineer - Clayton-le-Moors

National AI Awards 2025

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 Jobs Skills Radar 2026: Emerging Tools, Frameworks & Platforms to Learn Now

Machine learning is no longer confined to academic research—it's embedded in how UK companies detect fraud, recommend content, automate processes & forecast risk. But with model complexity rising and LLMs transforming workflows, employers are demanding new skills from machine learning professionals. Welcome to the Machine Learning Jobs Skills Radar 2026—your annual guide to the top languages, frameworks, platforms & tools shaping machine learning roles in the UK. Whether you're an aspiring ML engineer or a mid-career data scientist, this radar shows what to learn now to stay job-ready in 2026.

How to Find Hidden Machine Learning Jobs in the UK Using Professional Bodies like BCS, Turing Society & More

Machine learning (ML) continues to transform sectors across the UK—from fintech and retail to healthtech and autonomous systems. But while the demand for ML engineers, researchers, and applied scientists is growing, many of the best opportunities are never posted on traditional job boards. So, where do you find them? The answer lies in professional bodies, academic-industry networks, and tight-knit ML communities. In this guide, we’ll show you how to uncover hidden machine learning jobs in the UK by engaging with groups like the BCS (The Chartered Institute for IT), Turing Society, Alan Turing Institute, and others. We’ll explore how to use member directories, CPD events, SIGs (Special Interest Groups), and community projects to build connections, gain early access to job leads, and raise your professional profile in the ML ecosystem.

How to Get a Better Machine Learning Job After a Lay-Off or Redundancy

Redundancy in machine learning can feel especially frustrating when your role was technically advanced, strategically important, or AI-facing. But the UK still has strong demand for machine learning professionals across fintech, healthtech, retail, cybersecurity, autonomous systems, and generative AI. Whether you're a research-oriented ML engineer, production-focused MLOps developer, or applied scientist, this guide is designed to help you bounce back from redundancy and find a better opportunity that suits your goals.