Data Engineering Manager (Data Platform) in Bristol

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.

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.

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, which 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.

What will I be doing?

• 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.

Responsibilities

• 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 make up & recruitment, training, etc.
• Take ownership of the operational health, security, risk & compliance and incidents relating to Data Platform, representing these elements at senior Kaluza platform health reviews.
• Balancing competing engineering demands on Data Platform between delivery, support, technical improvements, innovation and addressing technical debt.
• In close collaboration with product management, enable the team to prioritise work based on business impact and urgency, managing stakeholders where tough decisions are required.
• Engage with clients to gather and clarify requirements, translate them into actionable platform work, and ensure delivery meets agreed expectations.

Is this the job for me?

Please apply even if you don’t meet all the qualifications listed:

• You are passionate about developing others and helping people become the best version of themselves.
• You have a strong focus on Diversity, Equity and Inclusion, supporting your team and those around you as individuals.
• You are a dedicated leader who enables collective success and have experience in leading data‑oriented teams of engineers.
• You are able to draw on your significant experience in data engineering roles (inclusive of manager experience roles) to deliver high quality, actionable data pipelines and analytics.
• You have excellent presentation and communication skills and are able to articulate results clearly and concisely to senior stakeholders using both technical and non‑technical language to fit your audience.
• You have experience in designing and building data pipelines, strategic data architectural decisions and high quality “datamart” objects across different business functions, e.g. product, finance, strategy, etc.
• Extensive experience in engineering robust ETL/ELT processes and data pipelines, with a strong focus on curating, transforming, and publishing data for optimal business consumption.
• This includes designing and implementing scalable data workflows, ensuring data integrity and quality, and leveraging advanced data engineering techniques to meet the evolving needs of the business.
• Solid experience in designing and implementing data models, master data management, and data quality rules and logic.
• You have experience working with a modern analytics stack, for example: SQL, GitHub, Data orchestration tooling (e.g. dataform, dbt), Native cloud services or products (e.g. AWS/GCP), Programming language (e.g. python), BI tooling (e.g. Tableau). Experience with Databricks is a plus.
• You have both theoretical knowledge and hands‑on experience in using advanced analytical and analytic engineering techniques.

Kaluza Values

Here at Kaluza we have five core values that guide us as a business: We’re on a mission, We build together, We’re inclusive, We get it done, We communicate with purpose.

From us you’ll get:

• Pension Scheme
• Discretionary Bonus Scheme
• Private Medical Insurance + Virtual GP
• Life Assurance
• Access to Furthr - a Climate Action app
• Free Mortgage Advice and Eye Tests
• Perks at Work - access to thousands of retail discounts
• 5% Flex Fund to spend on the benefits you want most
• 26 days holiday
• Flexible bank holidays, giving you an additional 8 days which you can choose to take whenever you like
• Progressive leave policies with no qualifying service periods, including 26 weeks full pay if you have a new addition to your family
• Dedicated personal learning and home office budgets
• Flexible working — we trust you to work in a way that suits your lifestyle
• And more…

We want the best people. We’re keen to meet people from all walks of life — our view is that the more inclusive we are, the better our work will be. We want to build teams which represent a variety of experiences, perspectives and skills, and we recognise talent on the basis of merit and potential. We understand some people may not apply for jobs unless they tick every box. But if you’re excited about joining us and think you have some of what we’re looking for, even if you’re not 100% sure, we’d still love to hear from you.

Find out more about working in Kaluza on our careers page and LinkedIn.