BI Manager/ Platforms Engineering Manager

CV-Library
Binley Woods, Warwickshire
13 months ago
Applications closed

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BI Manager/Engineering Manager- Maternity Cover

Location: Coventry or any of our other sites across UK. We have a hybrid working policy.

Saint-Gobain Digital - Data Team

Are you passionate about data engineering, leadership, and creating real business impact? Join Saint-Gobain Digital as a BI Manager/ Engineering Manager and play a key role in shaping the future of our data capabilities.

As part of our Data Team, you'll lead a talented group of Data Engineers and BI Developers, delivering performant, scalable, and secure data solutions across the Azure platform. You'll be instrumental in driving our mission to "Make the World a Better Home" by supporting digital innovation through smart use of data.

What you'll be doing:

Lead and manage a cross-functional team of Data Engineers and BI Developers providing technical and people development support.
Oversee the design, optimisation, and configuration of data pipelines and structures using Azure technologies.
Own the delivery planning of end-to-end data pipelines, ensuring alignment with business needs and data strategy.
Act as the bridge between the technical team and stakeholders, managing risk, costs, timelines, and communication.
Champion our data strategy across the business and contribute to Saint-Gobain's broader digital transformation goals.
Foster a culture of continuous improvement, learning, and collaboration.What we're looking for:

Proven experience managing Data Engineers and/or BI Developers in a people leadership role.
Strong understanding of the Azure data platform - you're confident with cloud-based data solutions and not new to the stack.
Hands-on experience with Power BI, and ideally a background in BI development.
Several years' experience of SQL/database design and data modelling to develop data solutions including database design
Understand and communicate how data drives a business
Good understanding of current software development methodologies and software development, Data Modelling and Design lifecycles.
A strategic thinker who understands how data creates real business value.Join us at Saint-Gobain Digital, where you'll help power the future of data, drive real change, and contribute to a more sustainable world.

About Us

As a business, Saint-Gobain designs, manufactures, and distributes materials and solutions that have a positive impact on each of us and provide wellbeing, quality of life and performance, all while caring for the planet. Our materials and solutions can be found everywhere in our living places and in daily life, in buildings, transportation, infrastructure and in many industrial applications. They provide comfort, performance and safety while addressing the challenges of sustainable construction, resource efficiency and climate change.

Are Saint-Gobain Inclusive employer?

We're working hard to be, and we're keen to hire talented people regardless of their background, abilities, ethnicity, religion, sexual orientation, gender, national origin, taste in music, fashion sense or anything else that makes you, you!

We understand that a diverse workplace is not only a more enjoyable place to be, but also facilitates better decision making and innovation. So, whoever you are, and whichever Saint-Gobain business you join, you can be sure of a warm welcome with us.

And what about flexibility?

The world of work is changing, and at Saint-Gobain we are open to new ways of working in order to attract talented people to our business. We understand that everyone has different needs and commitments. Therefore, we are very open to discuss any flexible requirement or need that you may have for this role. We can't guarantee to meet all requests for flexibility when we are recruiting, but we promise to listen

Industry Insights

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Where to Advertise Machine Learning Jobs in the UK (2026 Guide)

Where to advertise machine learning jobs UK in 2026: the specialist boards and communities that reach ML, MLOps and deep learning engineering talent. The candidate pool is small, highly specialised and in demand across AI labs, financial services, healthcare, autonomous systems and consumer technology simultaneously. Machine learning engineers and researchers move between roles through professional networks, conference communities and specialist platforms — not general job boards where ML roles compete with unrelated software engineering positions for the same audience. This guide, published by MachineLearningJobs.co.uk, covers where to advertise machine learning roles in the UK in 2026, how the main platforms compare, what employers should expect to pay, and what the data says about hiring across different role types.