At a Glance
- Tasks: Lead data practices, develop advanced modelling solutions, and drive a data-driven culture.
- Company: Kaluza, an innovative Energy Intelligence Platform committed to a clean future.
- Benefits: Competitive salary, flexible holidays, personal learning budget, and health insurance.
- Other info: Join a diverse team with excellent career growth opportunities and a focus on sustainability.
- Why this job: Shape the future of energy with cutting-edge data strategies and impactful projects.
- Qualifications: Expert in SQL and dbt, strong communication skills, and experience in data governance.
Location: London / Bristol / Edinburgh (Hybrid - 3 days in office)
Salary: 90,000 - 114,000
Team: We are committed to building a diverse, global team and our sponsorship policy is evaluated on a role-by-role basis. 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.
As an 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
- 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:
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 to build teams which represent a variety of experiences, perspectives and skills, and we recognise talent on the basis of merit and potential.
You can also find our Applicant Data Protection Policy here.
Engineering Team Lead (Hybrid) in London 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 Engineering Team Lead (Hybrid) in London
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Kaluza!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Engineering Team Lead (Hybrid) at Kaluza.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Kaluza.
✨Apply Directly through Our Website
When you find a suitable opening like Engineering Team Lead (Hybrid) at Kaluza, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Kaluza, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Kaluza. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Kaluza
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Kaluza!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
