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- Tasks: Lead a dynamic team in data engineering and analytics projects.
- Company: Join Kaluza, a pioneering Energy Intelligence Platform transforming the energy sector.
- Benefits: Enjoy competitive salary, flexible working, and generous holiday policies.
- Other info: Be part of a diverse team committed to making a real impact.
- Why this job: Shape the future of clean energy with innovative data solutions.
- Qualifications: Experience in data engineering and strong leadership skills required.
The predicted salary is between 92800 - 115000 £ per year.
Location: London, Bristol or Edinburgh (Including Hybrid)
Salary: £92,800 - £115,000
Reporting to: Head of Data Science & Products
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.
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. Leveraging Data, AI, and real‑time decision‑making we turn energy complexity into growth opportunities for our partners.
You will be joining the Kaluza Data community. Data is the foundation of everything we do as an organisation, and to deliver our vision we need curious, tenacious people who can turn this data, and their knowledge, into insight, strategy and actions. You’ll be working on the Kaluza platform, which aims to revolutionise the operating platforms for energy retailers globally.
More specifically, you will join our Data leadership team, working directly to Kaluza’s Head of Data Science & Product, and will be the lead for the Data Platform team. The Data Platform team lies at the epicentre of Kaluza’s evolving data & architecture strategy – they build and own the infrastructure, tooling and governance for Kaluza's internal data pipeline.
What will I be doing?
- As an Engineering Manager, you will be responsible for managing engineers and product analysts who work in our Data Platform team.
- You will assist your team in the scoping, planning and delivery of data engineering and analytics engineering projects.
- You will introduce thought‑leadership on how to deliver excellent analytical and data engineering to the wider practice.
Responsibilities
- Staff Management: Lead the Data Platform and Analytics Engineering teams.
- Project Leadership: Scope and lead data engineering projects across the platform.
- Technical Excellence: Drive the design and building of new data models and production data pipelines.
- Community & Collaboration: Align with data leads across the organisation to improve collaboration and ways of working.
- Operational Health: Take ownership of security, risk, compliance, and incidents relating to the Data Platform.
- Agile Delivery: Ensure teams continuously improve quality and velocity through Agile methodologies.
- Stakeholder Management: Collaborate with product management to prioritise work based on business impact and urgency.
About You
- People‑First Leader: You are passionate about developing others and helping people become the best version of themselves.
- Experienced Manager: You have experience leading data‑oriented teams of engineers.
- Technical Expert: You can draw on significant experience in data and analytics engineering.
- Architectural Mindset: You have experience designing and building data pipelines.
- Pipeline Specialist: You possess extensive experience in engineering robust ETL/ELT processes.
- Data Governance Focused: You have solid experience in implementing data models and data quality rules.
- Strong Communicator: You have excellent presentation skills and can articulate results clearly.
- Stack Proficient: You have experience working with a modern analytics stack, including SQL, GitHub, Python, BI tooling, and native cloud services.
What will set you apart
- Orchestration Mastery: Deep experience with data orchestration tooling such as dbt or dataform.
- Platform Specifics: Hands‑on experience with Databricks.
- Modeling Expertise: Practical knowledge of Kimball’s dimensional modelling.
Here at Kaluza we have five core values that guide our 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
- Progressive leave policies with no qualifying service periods
- Dedicated personal learning and home office budgets
- Flexible working – we trust you to work in a way that suits your lifestyle
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.
Engineering Manager (Data Platform & Analytics Engineering) in Bristol employer: Kaluza
Contact Detail:
Kaluza Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Engineering Manager (Data Platform & Analytics Engineering) in Bristol
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with current Kaluza employees on LinkedIn. A personal introduction can make all the difference when it comes to landing that interview.
✨Tip Number 2
Prepare for the interview by researching Kaluza’s projects and values. Show us you’re genuinely interested in our mission to revolutionise energy through data. Tailor your responses to highlight how your experience aligns with our goals.
✨Tip Number 3
Practice your technical skills! Brush up on your knowledge of data engineering and analytics tools relevant to the role. We want to see that you can not only talk the talk but also walk the walk when it comes to technical expertise.
✨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, it shows us you’re serious about joining the Kaluza team.
We think you need these skills to ace Engineering Manager (Data Platform & Analytics Engineering) in Bristol
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the Engineering Manager role. Highlight your leadership experience, technical expertise, and any relevant projects you've led in data engineering or analytics.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're passionate about the role and how you can contribute to Kaluza's mission. Share specific examples of your past achievements and how they relate to the responsibilities outlined in the job description.
Showcase Your Technical Skills: Don’t forget to mention your proficiency with tools and technologies mentioned in the job description, like SQL, Python, and cloud services. We want to see how your technical background can help us drive our data platform forward.
Apply Through Our Website: We encourage you to apply directly through our careers site. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it gives you a chance to explore more about Kaluza and our values!
How to prepare for a job interview at Kaluza
✨Know Your Data Inside Out
As an Engineering Manager for the Data Platform, you need to be well-versed in data engineering concepts. Brush up on your knowledge of ETL/ELT processes, data governance, and the tools mentioned in the job description like SQL, Python, and cloud services. Be ready to discuss how you've applied these in past projects.
✨Showcase Your Leadership Style
This role requires a people-first leader who can develop others. Prepare examples of how you've successfully managed teams, fostered diversity, and driven collective success. Think about specific instances where your leadership made a difference in project outcomes or team dynamics.
✨Prepare for Technical Questions
Expect technical questions that assess your architectural mindset and problem-solving skills. Be ready to discuss your experience with data modelling, building data pipelines, and using orchestration tools like dbt. Practise explaining complex concepts in simple terms, as you'll need to communicate effectively with both technical and non-technical stakeholders.
✨Align with Kaluza's Values
Familiarise yourself with Kaluza's core values: Play to win, Solve the real problem, Build trust every day, Own the outcome, and Go further together. Think of examples from your career that demonstrate how you embody these values. This will show that you're not just a fit for the role, but also for the company culture.