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Job title: Analytics Engineering Lead Location: London / Bristol / Edinburgh (Hybrid - 3 days in office) 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. 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. What will I be doing? 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. About You Ideally you’ll have/be 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 What will set you apart 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 Kaluza Values 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. 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 - 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 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 . You can also find our Applicant Data Protection Policy here .
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.
