Analytics Engineering Lead

Job title: Analytics Engineering Lead
Location: London / Bristol / Edinburgh
Salary: £90,000 - £114,000
Team: Data

This role is based in London, Bristol or Edinburgh and requires existing right to work in the UK. 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.

As a Analytics Engineer Lead, you'll set the gold standard for our data practices at Kaluza. You'll be the architect responsible for making our data scalable, reliable, and built on modern best practices - driving the strategy behind our data models and bridging the gap between high level business goals and technical reality.

You'll define and enforce engineering best practices (CI/CD, modularity) across the data organisation, develop advanced modelling solutions for complex scenarios, and research and implement modern data stack tooling. You'll own the long term vision for data modelling, design and implement data governance frameworks, and act as lead responder for GDPR related incidents. Working cross functionally, you'll partner with Product to shape the Analytics Engineering Roadmap, translate complex business needs into technical requirements, and champion a data driven culture across Kaluza.

• Expert level proficiency in SQL and dbt, with a strong focus on writing clean, reusable, and testable code
• Mastery of dimensional data modelling and the ability to develop solutions for highly complex scenarios
• Proven ability to drive adoption of new standards, patterns, and tools across multiple teams without direct authority
• Exceptional communication skills - able to explain technical concepts clearly to non technical stakeholders and senior business leaders
• Strong stakeholder management experience, with the ability to extract core requirements and identify the source of truth in complex, cross functional environments
• A deep, end to end understanding of the data lifecycle, from ingestion and transformation through to consumption

• Experience owning and driving a long term data modelling strategy, not just contributing to one
• Hands on experience designing and implementing data governance frameworks
• Experience acting as a lead responder for GDPR or data privacy incidents
• A track record of leading rapid proof of concepts to validate new technologies or approaches
• Experience contributing to broader data org strategy and influencing data culture at an organisational level

Here at Kaluza we have five core values that guide us as a business: Play to win, Solve the real problem, Build trust every day, Own the outcome, Go further together.

• 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 Policy - With no qualifying service periods, including 26 weeks full pay if you have a new addition to your family
• Personal Learning Budget - Upskill, learn and grow!
• Home Office Budget
• And more!

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.