At a Glance
- Tasks: Design and implement scalable data models for global clients using advanced SQL.
- Company: Join Kaluza, a leader in energy intelligence and innovation.
- Benefits: Enjoy competitive salary, flexible holidays, and personal development budgets.
- Other info: Be part of a diverse team with excellent career growth opportunities.
- Why this job: Make a real impact in the clean energy sector with cutting-edge technology.
- Qualifications: Expertise in SQL and strong communication skills required.
The predicted salary is between 46400 - 63800 £ per year.
Location: London, Bristol or Edinburgh (Hybrid working model)
Salary: £46,400 - £63,800
Team: Analytics Engineering team
Reporting To: Analytics Engineering Manager
IMPORTANT Note on this role: While we don’t have an immediate opening for this specific position today, we are growing fast and hire for this skillset frequently! By applying here, you are joining our Priority Talent Pool and when a headcount is approved, our recruiters check this pool before posting the job publicly. This role will be based in London, Bristol or Edinburgh and requires an existing right to work in the UK. At this time, we are not able to offer visa sponsorship for this role.
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.
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.
Key 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: Play to win, Solve the real problem, Build trust every day, Own the outcome, Go further together.
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…
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 at Kaluza on our careers page and LinkedIn.
Analytics Engineer - Global Data Modeling & SQL Expert in Bristol 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 Engineer - Global Data Modeling & SQL Expert in Bristol
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on upcoming roles!
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your SQL projects and data models. This gives recruiters a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Stay proactive! Keep an eye on our careers site for new openings and apply as soon as they pop up. Being quick can make all the difference when it comes to landing that dream job.
✨Tip Number 4
Prepare for interviews by brushing up on your technical skills and practising common interview questions. Be ready to explain your thought process and how you tackle complex problems—this is your time to shine!
We think you need these skills to ace Analytics Engineer - Global Data Modeling & SQL Expert in Bristol
Some tips for your application 🫡
Show Off Your SQL Skills:Make sure to highlight your advanced SQL mastery in your application. We want to see how you can translate complex schema designs into high-quality scripts, so don’t hold back on showcasing your expertise!
Tailor Your Application:Take a moment to tailor your application to the role. Mention specific experiences that relate to dimensional model architecture and stakeholder management. This shows us you’re genuinely interested and understand what we’re looking for.
Be Clear and Concise:When writing your application, clarity is key! Use straightforward language to explain your experience and skills. We appreciate a well-structured application that gets straight to the point without unnecessary fluff.
Apply Through Our Website:Don’t forget to apply through our website! This ensures your application goes directly into our Priority Talent Pool, making it easier for us to find you when the right opportunity arises. We can’t wait to hear from you!
How to prepare for a job interview at Kaluza
✨Master Your SQL Skills
Make sure you brush up on your SQL knowledge before the interview. Be prepared to discuss complex queries, window functions, and how you optimise performance. Practising writing and debugging SQL scripts will give you the confidence to showcase your expertise.
✨Understand the Business Context
Familiarise yourself with Kaluza's mission and values. Knowing how your role as an Analytics Engineer fits into their goals will help you articulate your understanding of the business. Be ready to discuss how you can contribute to solving real problems for their global clients.
✨Prepare for Stakeholder Scenarios
Think about examples where you've successfully communicated technical concepts to non-technical stakeholders. Prepare to share how you managed competing priorities and translated complex requirements into actionable data models. This will demonstrate your stakeholder management skills.
✨Showcase Your Engineering Mindset
Be ready to discuss your approach to writing clean, modular, and reusable code. You might be asked about your experience with data modelling methodologies like Star Schema or Kimball. Highlight any relevant projects that showcase your engineering mindset and attention to detail.
