Lead Data Engineer

Xcede
Nottingham
4 months ago
Applications closed

Related Jobs

View all jobs

Lead Data Engineer

Lead Data Engineer

Lead Data Engineer

Lead Data Engineer

Lead Data Engineer

Lead Data Engineer - Hadoop - Spark - Python

Lead Data Engineer


Location: South England x2 days a month in office!

Package: Competitive salary + strong benefits


We’re representing a major financial services organisation that is investing heavily in next-generation data and digital platforms. They are building a modern, cloud-native data ecosystem to power AI, analytics, and customer-facing innovation and now seek a Lead Data Engineer to guide this transformation. The company have an incredible Data Leadership team with good tenure, and alongside impactful Data Science projects, they have multiple AI / LLM based projects in production due to their mature Data offering. This is a rare opportunity to join the team at an impactful, senior level due to the typically very long tenure.


The role


This position blends technical leadership with hands-on engineering. You’ll oversee the design and delivery of scalable data solutions, lead and mentor a small engineering group, and set the standards for how data is built, managed, and consumed across the organisation.


It’s a chance to make architectural decisions, work directly with product and AI specialists, and drive forward best practices in a rapidly modernising environment.


Key responsibilities


• Directing major data engineering initiatives and overseeing a team of engineers

• Designing and enhancing data warehouses, pipelines, and integration frameworks at scale

• Partnering with analytics, AI, product, and business teams to create end-to-end data solutions

• Defining coding guidelines, frameworks, and operating models across the platform

• Leading the migration of legacy environments into a flexible, cloud-first stack

• Contributing to the build and delivery of advanced data products and GenAI-enabled applications

• Raising the bar on data quality, governance, and compliance processes




Skills & experience required


• Proven background leading data engineering teams or projects in a technology-driven business

• Expert knowledge of modern cloud data platforms (Databricks, Snowflake, ideally AWS)

• Advanced Python programming skills and fluency with the wider Python data toolkit

• Strong capability with SQL, Spark, Airflow, Terraform, and workflow orchestration tools

• Solid understanding of CICD practices using Git, Jenkins, or equivalent tooling

• Hands-on experience building both batch and streaming data integration pipelines

• Depth in data modelling, ingestion, and optimisation for large-scale environments

• Any exposure to production use of Generative AI is highly advantageous



What’s on offer

• Be a central figure in a large-scale data modernisation programme

• A hybrid working approach that values flexibility

• The opportunity to combine leadership responsibilities with technical delivery

• Influence over the design of next-generation data and AI capabilities within a household-name financial services brand


For this and other data engineering job opportunities, please submit your CV!

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.

Careers

How Many Machine Learning Tools Do You Need to Know to Get a Machine Learning Job?

Machine learning is one of the most exciting and rapidly growing areas of tech. But for job seekers it can also feel like a maze of tools, frameworks and platforms. One job advert wants TensorFlow and Keras. Another mentions PyTorch, scikit-learn and Spark. A third lists Mlflow, Docker, Kubernetes and more. With so many names out there, it’s easy to fall into the trap of thinking you must learn everything just to be competitive. Here’s the honest truth most machine learning hiring managers won’t say out loud: 👉 They don’t hire you because you know every tool. They hire you because you can solve real problems with the tools you know. Tools are important — no doubt — but context, judgement and outcomes matter far more. So how many machine learning tools do you actually need to know to get a job? For most job seekers, the real number is far smaller than you think — and more logically grouped. This guide breaks down exactly what employers expect, which tools are core, which are role-specific, and how to structure your learning for real career results.

Jobs

What Hiring Managers Look for First in Machine Learning Job Applications (UK Guide)

Whether you’re applying for machine learning engineer, applied scientist, research scientist, ML Ops or data scientist roles, hiring managers scan applications quickly — often making decisions before they’ve read beyond the top third of your CV. In the competitive UK market, it’s not enough to list skills. You must send clear signals of relevance, delivery, impact, reasoning and readiness for production — and do it within the first few lines of your CV or portfolio. This guide walks you through exactly what hiring managers look for first in machine learning applications, how they evaluate CVs and portfolios, and what you can do to improve your chances of getting shortlisted at every stage — from your CV and LinkedIn profile to your cover letter and project portfolio.

Careers Jobs

MLOps Jobs in the UK: The Complete Career Guide for Machine Learning Professionals

Machine learning has moved from experimentation to production at scale. As a result, MLOps jobs have become some of the most in-demand and best-paid roles in the UK tech market. For job seekers with experience in machine learning, data science, software engineering or cloud infrastructure, MLOps represents a powerful career pivot or progression. This guide is designed to help you understand what MLOps roles involve, which skills employers are hiring for, how to transition into MLOps, salary expectations in the UK, and how to land your next role using specialist platforms like MachineLearningJobs.co.uk.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.