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

Nominate & Attend

Lead Data Engineer

CGI
London
2 weeks ago
Create job alert

Position Description:

If you’re looking for a challenge that stretches your talents and want to make a real difference in how modern businesses harness data, come and help us grow our Data Engineering capability at CGI. We need a passionate Lead Data Engineer to design, build, and scale cutting-edge data systems that enable insight, decision-making, and tangible business value.

CGI was recognised in the Sunday Times Best Places to Work List and has been named one of the ‘World’s Best Employers’ by Forbes magazine. We offer a competitive salary, excellent pension, private healthcare, plus a share scheme (3.5% + 3.5% matching) which makes you a CGI partner, not just an employee.
We are committed to inclusivity, building a genuinely diverse community of tech talent and inspiring everyone to pursue careers in our sector—including our Armed Forces—and are proud to hold a Gold Award in recognition of our support of the Armed Forces Corporate Covenant. Join us and you’ll be part of an open, friendly community of experts. We’ll train and support you in taking your career wherever you want it to go.

This is a hybrid role with regular travel in the London area. All applicants must have the right to live and work in the UK.

Your future duties and responsibilities:

As a Lead Data Engineer, you’ll play a pivotal role in building scalable, re-usable data solutions for complex challenges. You’ll be a hands-on contributor as well as a leader of teams or projects depending on your level, with involvement in architecture, design, and delivery of high-quality systems. You’ll work across diverse domains, technologies, and platforms, with a strong emphasis on modern cloud ecosystems and real-time data.

Key responsibilities will include:

- Designing and developing scalable data pipelines and storage solutions in cloud environments (AWS, Azure, GCP)
- Writing complex queries against relational and non-relational databases
- Leading or contributing to key projects involving technologies like Databricks, Snowflake, BigQuery and Fabric
- Applying software engineering best practices to data engineering, including CI/CD, monitoring and alerting
- Collaborating with cross-functional teams including Data Scientists, Architects and Analysts
- Mentoring team members and promoting a culture of technical excellence
- Continuously improving code quality, performance and maintainability
- Working with near real-time, geospatial and AI-accelerated data applications

Required qualifications to be successful in this role:

- Strong proficiency in Python, including OOP principles and clean, maintainable coding practices
- Advanced SQL skills and experience designing efficient schemas and optimising performance
- Experience with code versioning, dependency management, logging, validation and monitoring
- Familiarity with modern data platforms such as Databricks, Snowflake or Microsoft Fabric
- Solid understanding of software engineering principles and SDLC best practices
- Demonstrated success working across multiple cloud platforms (AWS, Azure, or GCP)
- Excellent communication and collaboration skills with technical and non-technical stakeholders
- A proactive, delivery-oriented mindset with a passion for learning and solving hard problems

#LI-RJ1

Skills:

Data Engineering Snowflake

Related Jobs

View all jobs

Lead Data Engineer

Lead Data Engineer

Lead Data Engineer

Lead Data Engineer

Lead Data Engineer

Lead Data Engineer

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 Salary Calculator 2025: Figure Out Your True Worth in Seconds

Why last year’s pay survey is useless for UK ML professionals today Ask a Machine Learning Engineer wrangling transformer checkpoints, an MLOps Lead firefighting drift alarms, or a Research Scientist training diffusion models at 3 a.m.: “Am I earning what I deserve?” The honest answer changes monthly. A single OpenAI model drop doubles GPU demand, healthcare regulators release fresh explainability guidance, & a fintech unicorn pays six figures for vector‑search expertise. Each shock nudges salary bands. Any PDF salary guide printed in 2024 now looks like an outdated Jupyter notebook—missing the gen‑AI tsunami, the surge in edge inference, & the UK’s new Responsible‑AI framework. To give ML professionals an accurate benchmark, MachineLearningJobs.co.uk distilled a transparent, three‑factor formula that estimates a realistic 2025 salary in under a minute. Feed in your discipline, UK region, & seniority; you’ll receive a defensible figure—no stale averages, no guesswork. This article unpacks the formula, highlights the forces driving ML pay skyward, & offers five practical moves to boost your value inside the next ninety days.

How to Present Machine Learning Solutions to Non-Technical Audiences: A Public Speaking Guide for Job Seekers

Machine learning is driving change across nearly every industry—from retail and finance to health and logistics. But while the technology continues to evolve rapidly, the ability to communicate it clearly has become just as important as building the models themselves. Whether you're applying for a junior ML engineer role, a research position, or a client-facing AI consultant job, UK employers increasingly expect candidates to explain complex machine learning solutions to non-technical audiences. In this guide, you’ll learn how to confidently present your work, structure your message, use simple visuals, and explain the real-world value of machine learning in a way that makes sense to people without a background in data science.

Machine Learning Jobs UK 2025: 50 Companies Hiring Now

Bookmark this page—we refresh the Hotlist every quarter so you always know who’s really scaling their ML teams. The UK’s National AI Strategy, a £2 billion GenAI accelerator fund and a record flow of private capital have kicked ML hiring into overdrive for 2025. Whether you build production‑grade LLM services or optimise on‑device models for edge hardware, employers need your skills now. Below you’ll find 50 organisations that advertised UK‑based machine‑learning vacancies or announced head‑count growth during the past eight weeks. They’re grouped into five quick‑scan categories so you can jump straight to the type of employer—and mission—that excites you. For each company we list: Main UK hub Example live or recent vacancy Why it’s worth a look (stack, impact, culture) Search any employer on MachineLearningJobs.co.uk to see real‑time adverts, or set a free alert so fresh openings drop straight in your inbox.