At a Glance
- Tasks: Lead data practices, architect solutions, and drive a data-driven culture at Kaluza.
- Company: Join Kaluza, the innovative Energy Intelligence Platform transforming energy management.
- Benefits: Enjoy a competitive salary, private medical insurance, and flexible holiday options.
- Other info: Dynamic role with opportunities for professional growth and a focus on sustainability.
- Why this job: Make a real impact in clean energy while shaping the future of data engineering.
- Qualifications: Expertise in SQL, dbt, and data modelling with strong communication skills.
The predicted salary is between 80000 - 95000 £ per year.
Location: London / Bristol / Edinburgh
Salary: £80,000 to £95,000
Team: Data
We are looking for an Analytics Engineering Lead based in London, Bristol or Edinburgh. This role requires the existing right to work in the UK and we currently cannot offer visa sponsorship.
Kaluza is the Energy Intelligence Platform, turning energy complexity into seamless coordination. Our platform orchestrates millions of real‑time decisions across homes, devices, markets and grids, employing predictive algorithms with a human‑centred design to make clean energy dependable, affordable and adaptive.
What will I be doing?
- Set the gold standard for our data practices at Kaluza.
- Architect scalable, reliable, and modern data solutions.
- Define engineering best practices (CI/CD, modularity).
- Develop advanced modelling for complex scenarios.
- Research and implement modern data stack tooling.
- Own the long‑term vision for data modelling and governance.
- Lead GDPR incident response.
- Partner with Product to shape the Analytics Engineering Roadmap.
- Translate business needs into technical requirements.
- Champion a data‑driven culture.
About you
- Expert‑level proficiency in SQL and dbt, writing clean, reusable, testable code.
- Mastery of dimensional data modelling; ability to design 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 to non‑technical stakeholders and senior leaders.
- Strong stakeholder management, extracting core requirements and identifying 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.
What will set you apart
- Experience owning and driving a long‑term data modelling strategy.
- Hands‑on experience designing and implementing data governance frameworks.
- Experience acting as a lead responder for GDPR or data privacy incidents.
- Track record of leading rapid proof‑of‑concepts to validate new technologies or approaches.
- Experience contributing to data organisation strategy and influencing data culture at an organisational level.
Our Perks
- 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 – spend on the benefits you want most
- 26 days holiday
- Flexible Bank Holidays – an additional 8 days you can choose to take whenever you like
- Progressive Leave Policy – up to 26 weeks full pay if you have a new addition to your family, with no qualifying service period
- Personal Learning Budget – upskill, learn and grow
- Home Office Budget
Analytics Engineering Lead employer: Kaluza
Kaluza is an exceptional employer that fosters a dynamic work culture in the heart of London, where innovation meets collaboration. Employees benefit from a comprehensive pension scheme and flexible holiday options, promoting a healthy work-life balance while engaging in meaningful projects that leverage cutting-edge AI technology. With ample opportunities for professional growth and development, Kaluza empowers its team to thrive in a supportive environment dedicated to enhancing internal processes through automation.
StudySmarter Expert Advice🤫
We think this is how you could land Analytics Engineering Lead
✨Network Like a Pro
Get out there and connect with people in the industry! Attend meetups, webinars, or even just grab a coffee with someone who works at Kaluza. Building relationships can open doors that a CV just can't.
✨Show Off Your Skills
Don’t just talk about your experience; showcase it! Create a portfolio of your projects or contributions to previous roles. This is especially important for an Analytics Engineering Lead – let them see your SQL and dbt skills in action!
✨Prepare for the Interview
Research Kaluza and understand their mission. Be ready to discuss how your expertise aligns with their goals, especially around data governance and modelling. Tailor your answers to show you’re the perfect fit for their team.
✨Apply Through Our Website
Make sure to apply directly through our careers site! It’s the best way to ensure your application gets seen by the right people. Plus, you’ll be one step closer to joining a company that values innovation and collaboration.
We think you need these skills to ace Analytics Engineering Lead
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Analytics Engineering Lead role. Highlight your SQL and dbt expertise, along with any experience in data modelling and governance. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about data and how you can contribute to our mission at Kaluza. Don’t forget to mention your experience in driving data culture and stakeholder management.
Showcase Your Projects:If you've worked on relevant projects, make sure to include them! Whether it's a proof-of-concept or a data governance framework, we love seeing real examples of your work that demonstrate your capabilities.
Apply Through Our Website:We encourage you to apply through our careers site. It’s the best way to ensure your application gets into the right hands. Plus, you’ll find all the details about the role and our company culture there!
How to prepare for a job interview at Kaluza
✨Know Your Data Inside Out
As an Analytics Engineering Lead, you'll need to demonstrate your expert-level proficiency in SQL and dbt. Brush up on your skills and be ready to discuss specific projects where you've written clean, reusable code. Prepare to explain your approach to dimensional data modelling and how you've tackled complex scenarios in the past.
✨Showcase Your Leadership Skills
This role requires you to drive adoption of new standards and tools across teams. Think of examples where you've influenced others without direct authority. Be prepared to share how you've led initiatives or projects that improved data practices and fostered a data-driven culture.
✨Communicate Like a Pro
Exceptional communication skills are a must for this position. Practice explaining technical concepts in simple terms, especially for non-technical stakeholders. You might be asked to present a complex idea during the interview, so make sure you can articulate your thoughts clearly and confidently.
✨Understand the Bigger Picture
Familiarise yourself with Kaluza's mission and how your role fits into their vision of energy intelligence. Be ready to discuss how your experience aligns with their goals, particularly in terms of data governance and GDPR compliance. Showing that you understand the end-to-end data lifecycle will set you apart from other candidates.
