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For Companies At a Glance
- Tasks: Lead data practices, architect scalable solutions, and drive a data-driven culture.
- Company: Kaluza, the innovative Energy Intelligence Platform transforming energy management.
- Benefits: Competitive salary, private medical insurance, flexible holidays, and personal learning budget.
- Other info: Dynamic work environment with excellent career growth and a focus on sustainability.
- Why this job: Shape the future of clean energy with cutting-edge data solutions and impactful projects.
- Qualifications: Expert in SQL and dbt, strong communication skills, and experience in data governance.
The predicted salary is between 80000 - 95000 ÂŁ per year.
Location: London / Bristol / Edinburgh
Salary: ÂŁ80,000 to ÂŁ95,000
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. Keep an eye on our careers site for future opportunities where visa sponsorship may be available.
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?
As an Analytics Engineer Lead, you will set the gold standard for our data practices at Kaluza. You will 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; and lead GDPR incident response. Working cross‑functionally, you will partner with Product to shape the Analytics Engineering Roadmap, translate business needs into technical requirements, and 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 in Bristol employer: Kaluza
Contact Detail:
Kaluza Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Analytics Engineering Lead in Bristol
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your best projects and data solutions. This is your chance to demonstrate your expertise in SQL, dbt, and data modelling to potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on your communication skills. Practice explaining complex technical concepts in simple terms, as you'll need to engage with both technical and non-technical stakeholders.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are genuinely interested in joining our team.
We think you need these skills to ace Analytics Engineering Lead in Bristol
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, and showcase any experience you have with 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 standards and working cross-functionally.
Showcase Your Communication Skills: Since this role involves explaining technical concepts to non-technical stakeholders, make sure to highlight your communication skills in your application. We love candidates who can bridge the gap between tech and business!
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 awesome perks 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, and testable code. Prepare examples that showcase your mastery of dimensional data modelling and how you've tackled complex scenarios.
✨Communicate Like a Pro
Exceptional communication skills are a must for this role. Practice explaining technical concepts in simple terms, especially for non-technical stakeholders. Think about how you can convey the importance of data governance and modelling strategies clearly and effectively during the interview.
✨Showcase Your Leadership Skills
You'll be expected to drive the adoption of new standards and tools across teams. Prepare to share experiences where you've influenced others without direct authority. Highlight any instances where you've led cross-functional collaborations or championed a data-driven culture within your previous roles.
✨Be Ready for Scenario Questions
Expect questions that assess your problem-solving abilities in real-world scenarios. Think through potential GDPR incidents or data privacy challenges you've faced and how you responded. Be prepared to discuss your long-term vision for data modelling and governance, as well as how you would approach implementing modern data stack tooling.