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

Apply Now

Data Engineering Manager

Centrica
Windsor
1 year ago
Applications closed

Related Jobs

View all jobs

Engineering Manager - Data Science Team

MLOps Engineering Manager

Data Science Engineer

Data Science Engineering Manager - Audit

Data Science Engineering Manager - Audit (Hybrid)

Data Science Engineering Manager - Audit

We are Centrica! We’re so much more than an energy company. We’re a family of brands revolutionising a cleaner, greener future. Working here is#MoreThanACareer- we’re powered by purpose. Together we can make an impact that will truly change tomorrow. Whether you’re developing cutting-edge green tech, helping customers on the front line or simplifying operations behind the scenes.

Your work here isn’t just a job – it’s a mission. We all play a vital role inenergising a greener, fairer future.

An opportunity to play your part –As the successful candidate, your role as Data Engineering Manager will involve collaborating closely with other Business Managers, Data Scientists, and Data Engineers, facilitating product launches and roadmaps through the development of data architecture for informed insights.

Key responsibilities include leading a team, overseeing the design, build, and implementation of the Data Curated Layer within Data Platforms, and driving engagement, integration, and implementation across the business.

Location: UK (talk to us about flexible working)

The day to day –

Spearhead Data workstreams within large programs/projects, leveraging Data Engineering expertise. Oversee the implementation of logical and physical data models, aligning with Centrica's enterprise data model. Supervise the development, maintenance, and support of a suite of data engineering jobs and pipelines, sourcing data from various business systems and processes, transforming it, and facilitating publication. Collaborate with business and project/program stakeholders to comprehend the data landscape, ecosystem, tools, and integration requirements, transforming them into actionable insights. Ensure efficient and appropriate technologies are utilized for data curation, collaborating with architecture and platform teams. Promote the widespread adoption of curated data across the enterprise, ensuring models and documentation are accessible and shared, while also providing direct support to data consumers, sharing knowledge and best practices. Lead, assist, and mentor Data Engineers in analysing data and constructing robust, scalable, and secure data transformation jobs and pipelines.

About you

Demonstrated leadership in cultivating and guiding technical teams within a data-centric environment. Extensive expertise in Data Engineering practices, tools, and methodologies. Proficient in constructing and upholding logical and physical data models, with comprehensive knowledge and practical experience in data modelling techniques and tools. Well-versed in relational and non-relational database theory. Skilled in developing and maintaining code using both traditional and big data technologies for data processing and transformation. Hands-on experience with ETL tools and languages facilitating data manipulation, such as SQL, Spark, Python, Hadoop, and Streaming technologies. Familiarity with software development processes, tools, and methodologies, encompassing code management, CI/CD tools, processes, and testing strategies. Broad understanding of business data management, including business intelligence, data analysis, data science, big data, data migration, data quality, and data governance. Demonstrates a systematic, disciplined, and analytical approach to problem-solving, with meticulous attention to detail. Proficient in process, project, change, and time management. Capable of solving complex problems by drawing on past experiences and implementing best practices. Effective communicator with the ability to influence colleagues and collaborate across the wider business.

What’s in it for you –

Competitive salary and bonus potential. Employee Energy Allowance at 15% of the government price cap. Pension scheme. Company Funded Healthcare Plan. 25 days holiday allowance, plus public holidays, and the option to buy up to 5 additional days. Excellent range of flexible benefits, including technology vouchers, electric car lease scheme & travel insurance.

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.

AI Hiring Trends 2026: What to Watch Out For (For Job Seekers & Recruiters)

As we head into 2026, the AI hiring market in the UK is going through one of its biggest shake-ups yet. Economic conditions are still tight, some employers are cutting headcount, & AI itself is automating whole chunks of work. At the same time, demand for strong AI talent is still rising, salaries for in-demand skills remain high, & new roles are emerging around AI safety, governance & automation. Whether you are an AI job seeker planning your next move or a recruiter trying to build teams in a volatile market, understanding the key AI hiring trends for 2026 will help you stay ahead. This guide breaks down the most important trends to watch, what they mean in practice, & how to adapt – with practical actions for both candidates & hiring teams.

How to Write an AI CV that Beats ATS (UK examples)

Writing an AI CV for the UK market is about clarity, credibility, and alignment. Recruiters spend seconds scanning the top third of your CV, while Applicant Tracking Systems (ATS) check for relevant skills & recent impact. Your goal is to make both happy without gimmicks: plain structure, sharp evidence, and links that prove you can ship to production. This guide shows you exactly how to do that. You’ll get a clean CV anatomy, a phrase bank for measurable bullets, GitHub & portfolio tips, and three copy-ready UK examples (junior, mid, research). Paste the structure, replace the details, and tailor to each job ad.

AI Recruitment Trends 2025 (UK): What Job Seekers Must Know About Today’s Hiring Process

Summary: UK AI hiring has shifted from titles & puzzle rounds to skills, portfolios, evals, safety, governance & measurable business impact. This guide explains what’s changed, what to expect in interviews, and how to prepare—especially for LLM application, MLOps/platform, data science, AI product & safety roles. Who this is for: AI/ML engineers, LLM engineers, data scientists, MLOps/platform engineers, AI product managers, applied researchers & safety/governance specialists targeting roles in the UK.