At a Glance
- Tasks: Design and optimise data infrastructure while collaborating with teams to ensure actionable insights.
- Company: Kaluza is revolutionising energy for a sustainable future, making renewable energy accessible for all.
- Benefits: Enjoy flexible work, generous holiday, health perks, and a personal learning budget from day one.
- Why this job: Join a mission-driven team focused on net-zero energy solutions and innovative data engineering.
- Qualifications: Experience in analytics engineering, data modelling, and building scalable data pipelines is preferred.
- Other info: Kaluza values inclusivity and diverse perspectives, welcoming applicants from all backgrounds.
The predicted salary is between 55000 - 81500 ÂŁ per year.
Job title: Analytics Engineer
Location: London, Bristol or Edinburgh (Including Hybrid)
Salary: £46,400 – £63,800
Team: Analytics Engineering team
Reporting To: Analytics Engineering Manager
This role is based in London, Bristol or Ediburgh and requires an 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.
At Kaluza we embrace a flexible, hybrid work model that balances autonomy with the power of in-person connection. Many of our teams find value in coming together regularly to collaborate, strengthen relationships, and accelerate progress. We’re focused on shaping thoughtful, team-driven approaches that support both business impact and individual well-being.
What will I be doing?
As an Analytics Engineer, you will play a pivotal role in architecting the foundation of our global reporting capabilities. Your primary focus over the coming year will be the design and implementation of a high-performance, scalable dimensional model built to serve multiple global clients. This role is not just about moving data; it is about the sophisticated translation of complex schema designs into production-ready SQL. You will be the bridge between abstract data architecture and the high-performance scripts that power our business intelligence.
Responsibilities
- Dimensional Model Architecture: Lead the transition to a robust, multi-tenant dimensional model. You will be responsible for ensuring the architecture is scalable enough to onboard several major global clients without compromising performance.
- Expert SQL Development: Translate complex schema designs into high-quality, performant SQL scripts. You will own the logic that transforms raw, disparate data into structured clean tables.
- Global Scalability: Design and optimise data structures that handle high volume and variety, ensuring that our data infrastructure evolves ahead of our expanding international client base.
- Stakeholder Translation: Act as a key technical partner for business stakeholders. You must be able to navigate complex requirements from various departments and translate them into technical specifications and elegant data models.
- Data Integrity & Performance: Rigorously test and optimise SQL queries and data transformations to ensure \”single source of truth\” reliability and lightning-fast query response times for end-users.
Candidate Profile
Must-Haves
- Advanced SQL Mastery: You are an expert in writing, tuning, and debugging complex SQL. You understand window functions, CTEs, and query execution plans inside and out.
- Stakeholder Management: Proven ability to communicate technical concepts to non-technical audiences and manage competing priorities from multiple business units.
- Engineering Mindset: A focus on writing clean, modular, and reusable code.
Nice-to-Haves
- Data Modelling Expertise: Practical experience with Star Schema and Kimball methodologies.
- Modern Data Stack: Experience using Databricks for processing and dbt for transformation workflows.
- Global Delivery: Experience building data products designed for multi-region or multi-client environments.
Kaluza Values
Here at Kaluza we have five core values that guide us as a business:
We’re on a mission, We build together, We’re inclusive, We get it done, We communicate with purpose.
Our values are not words on a wall — they are at the heart of our culture. They are how we make decisions and how we treat each other. They are concrete and clear, and reflect what we as people, and as a business, really care about.
Kaluza’s vision is to power a world where net-zero is within everyone’s reach. Would you be interested in joining us to help achieve this?
From us you’ll get
- 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 policies with no qualifying service periods, including 26 weeks full pay if you have a new addition to your family
- Dedicated personal learning and home office budgets
- And more…
Even better? You’ll have access to these benefits from day 1 when you join.
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.
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Analytics Engineer employer: Kaluza
Contact Detail:
Kaluza Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Analytics Engineer
✨Tip Number 1
Familiarise yourself with Kaluza's mission and values. Understanding their commitment to net-zero energy and how they operate will help you align your answers during interviews, showcasing that you're not just a fit for the role but also for the company culture.
✨Tip Number 2
Network with current or former employees of Kaluza on platforms like LinkedIn. Engaging in conversations about their experiences can provide valuable insights into the company and may even lead to referrals, increasing your chances of landing an interview.
✨Tip Number 3
Brush up on your technical skills relevant to the role, such as DBT, SQL, and Python. Consider working on personal projects or contributing to open-source projects that demonstrate your ability to build scalable data pipelines, as practical experience can set you apart from other candidates.
✨Tip Number 4
Prepare thoughtful questions to ask during the interview. Inquiring about team dynamics, project challenges, or future developments at Kaluza shows your genuine interest in the role and helps you assess if it's the right fit for you.
We think you need these skills to ace Analytics Engineer
Some tips for your application 🫡
Understand the Role: Before applying, make sure you fully understand the responsibilities of an Analytics Engineer at Kaluza. Familiarise yourself with the tools and technologies mentioned in the job description, such as DBT, SQL, and Python.
Tailor Your CV: Customise your CV to highlight relevant experience and skills that align with the job requirements. Emphasise your experience with data pipelines, data modelling, and collaboration with stakeholders.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for renewable energy and how your background makes you a great fit for Kaluza. Mention specific projects or experiences that demonstrate your analytical skills and problem-solving abilities.
Showcase Your Values: Kaluza values inclusivity, teamwork, and effective communication. In your application, reflect these values by sharing examples of how you've worked collaboratively in diverse teams and communicated effectively in past roles.
How to prepare for a job interview at Kaluza
✨Understand Kaluza's Mission
Before your interview, make sure you understand Kaluza's mission to bring net-zero energy within everyone's reach. Familiarise yourself with their intelligent platform and how it impacts the energy sector. This will show your genuine interest in the company and its goals.
✨Showcase Your Technical Skills
Be prepared to discuss your experience with data pipelines, data modelling, and tools like DBT, SQL, and Python. Bring examples of past projects where you've successfully designed and optimised data infrastructure, as this is crucial for the Analytics Engineer role.
✨Emphasise Collaboration
Kaluza values teamwork, so highlight your ability to work closely with data analysts, data scientists, and business stakeholders. Share specific instances where you translated complex data needs into actionable solutions, demonstrating your collaborative spirit.
✨Prepare Questions
Have a list of thoughtful questions ready to ask your interviewers. Inquire about their current projects, team dynamics, or how they measure success in the Analytics Engineer role. This shows your enthusiasm and helps you gauge if Kaluza is the right fit for you.