Analytics Engineering Lead

Salary: £54,000 - 70,000 per year

Requirements:

• We require existing right to work in the UK for this role.
• We are not able to offer visa sponsorship at this time.
• You have expert-level proficiency in SQL and dbt, with a strong focus on writing clean, reusable, and testable code.
• You have mastery of dimensional data modelling and the ability to develop solutions for highly complex scenarios.
• You can drive adoption of new standards, patterns, and tools across multiple teams without direct authority.
• You have exceptional communication skills and can explain technical concepts clearly to non-technical stakeholders and senior business leaders.
• You have strong stakeholder management experience and can extract core requirements and identify the source of truth in complex, cross-functional environments.
• You have 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 is valued.
• Hands-on experience designing and implementing data governance frameworks is valued.
• Experience acting as a lead responder for GDPR or data privacy incidents is valued.
• A track record of leading rapid proof of concepts to validate new technologies or approaches is valued.
• Experience contributing to broader data org strategy and influencing data culture at an organisational level is valued.

Responsibilities:

• We set the gold standard for our data practices and ensure our data is scalable, reliable, and built on modern best practices.
• We drive the strategy behind our data models and bridge the gap between high-level business goals and technical reality.
• We define and enforce engineering best practices such as CI/CD and modularity across the data organisation.
• We develop advanced modelling solutions for complex scenarios.
• We research and implement modern data stack tooling.
• We own the long-term vision for data modelling.
• We design and implement data governance frameworks.
• We act as lead responder for GDPR-related incidents.
• We partner with Product to shape the Analytics Engineering Roadmap.
• We translate complex business needs into technical requirements.
• We champion a data-driven culture across Kaluza.

Technologies:

• CI/CD
• SQL
• dbt
• Architect

More:

We are Kaluza, the Energy Intelligence Platform, turning energy complexity into seamless coordination. We help energy companies overcome todays 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, we make clean energy dependable, affordable and adaptive to everyday life. We have 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. This is a hybrid role based in London, Bristol or Edinburgh, with 3 days in the office. We offer a salary of 90,000 to 114,000 and a range of perks including pension scheme, discretionary bonus scheme, private medical insurance, virtual GP, life assurance, access to a climate action app, free mortgage advice and eye tests, retail discounts, a flexible benefits fund, 26 days holiday, flexible bank holidays, a progressive leave policy, a personal learning budget, and a home office budget. We are committed to building a diverse, global team and encourage applicants from all walks of life.

last updated 36 week of 2026