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Kite Packaging Ltd is seeking an experienced data platform professional to own and advance our Fabric-based data platform and analytics suite. You will drive end-to-end engineering, modelling, analytics and visualisation, setting standards and guiding complex data-engineering challenges.
You will work with SQL, Python and the Microsoft stack, influence colleagues, and explore AI-enabled enhancements to data delivery.
Recently named UK Packaging Company of the Year, Kite Packaging is a £200 million, employee-owned business with a strong entrepreneurial spirit and a results-driven culture. Operating from 9 sites across the UK, Kite is committed to innovation and excellence, with our core technology team - including IT, software development, data analytics, and Dynamics 365 Platforms - playing a central role in our continued growth.
We are seeking an experienced data professional who wants to take ownership of our Fabric platform and ensure that data analytics delivers business results. You will own our data platform and analytics suite from end-to-end working on engineering, modelling, analytics and data visualisations. This is a strategic role that enables reporting and decision improvements across Kite.
Last year Kite invested in an entire overhaul of all technology systems and implemented Microsoft Fabric, the infrastructure is now well established, and ready for someone to take to the next level.
You’ll be the go‑to expert for our lakehouse/warehouse architecture, semantic models, and the pipelines that keep data flowing reliably across the business.
This is a hands‑on senior individual contributor role - you won't be managing people, but you will set technical direction, define standards, review the team's work, and be the escalation point for the most complex data engineering problems.
You will have experience of working with the Microsoft stack of technology and have a core skillset in SQL and Python, whilst also having the ability to influence your colleagues and drive action.
You have thought about the future of data roles and will bring your ideas on how to integrate AI to enhance data teams’ output and the ability for your colleagues to access the data they require.