Engineering Manager; Data Platform
Listed on 2026-01-29
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Engineering
Data Engineer, Data Science Manager -
IT/Tech
Data Engineer, Data Science Manager, Data Analyst
Job title: Engineering Manager (Data Platform)
Location: London, Bristol or Edinburgh (Including Hybrid)
Salary: £72,800 - £91,000
Reporting to: Head of Data Science & Products
At this time, we are not able to offer visa sponsorship for this role. We are committed to building a diverse, global team and our sponsorship policy is evaluated on a role‑by‑role basis. We encourage you to keep an eye on our careers site to stay informed about future opportunities where we are able to offer visa sponsorship.
Kaluza is the Energy Intelligence Platform, turning energy complexity into seamless coordination. We help energy companies overcome today’s challenges while accelerating the shift to a clean, electrified future. Our platform orchestrates millions of real‑time decisions across homes, devices, markets and grids. By combining predictive algorithms with human‑centred design, Kaluza makes clean energy dependable, affordable and adaptive to everyday life. With teams across Europe, North America, Asia and Australia, and a joint venture with Mitsubishi Corporation in Japan, we power leading companies including OVO, AGL and ENGIE, as well as innovators like Volvo and Volkswagen.
At Kaluza we embrace a flexible, hybrid work model that balances autonomy with the power of in‑person connection. Many of our teams find value in coming together regularly to collaborate, strengthen relationships, and accelerate progress. We’re focused on shaping thoughtful, team‑driven approaches that support both business impact and individual well‑being.
Where in the world of Kaluza will I be working? You will be joining the Kaluza Data community. Data is the foundation of everything we do as an organisation, and to deliver our vision we need curious, tenacious people who can turn this data, and their knowledge, into insight, strategy and actions. You’ll be working on the Kaluza platform. This is a technology platform that aims to revolutionise the operating platforms for energy retailers globally.
This platform is being built with globalisation and regionalisation in mind and is the foundation for decarbonisation efforts by Kaluza’s customers. We are looking to transform to an international ready model to help the business take on new challenges and external customers. More specifically, you will join our Data leadership team, working directly to Kaluza’s Head of Data Science & Product, and will be the lead for the Data Platform team as part of this.
The Data Platform team lies at the epicentre of Kaluza’s evolving data & architecture strategy - they build and own the infrastructure, tooling and governance for Kaluza’s internal data pipeline, from data ingestion, data cataloguing to data storage and exposing data externally.
As an Engineering Manager, you will be responsible for managing engineers and product analysts who work in our Data Platform team, product or business functions within the wider organisation. You will assist your team in the scoping, planning and delivery of data engineering and analytics engineering projects, assuming accountability for their execution, and flexing your time as you see necessary. You will introduce thought‑leadership on how to deliver excellent analytical and data engineering to the wider practice and contribute to cultivating a positive Kaluza community.
It’s an exciting time currently at Kaluza to contribute to our future state architectural decisions with the opportunity to shape our data estate to represent the best analytical engineering practices.
- Staff management for 5‑8 engineers and analysts across a range of skillsets and experience/seniority
- Scope and lead data engineering projects for the whole platform, identifying opportunities and challenges. Provide technical support on these projects where it’s needed.
- Drive the design and building of new data models and data pipelines in production
- Align with data leads from across the organisation to continuously improve collaboration and ways of working across the data community.
- Ensure the Data Platform team continuously improve their delivery quality & velocity through Agile ways of working, team skills…
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