Senior Engineering Manager (Data Platform & Analytics Engineering)
Kaluza
Get more replies from employers
Send a job-specific resume in minutes.
Benefits offered by this job
Job summary
Qualifications
- Passionate about developing others with a focus on Diversity, Equity, and Inclusion.
- Experience leading data-oriented teams, specifically engineers.
- Strong expertise in data and analytics engineering.
Responsibilities
- Lead the Data Platform and Analytics Engineering teams.
- Scope and lead data engineering projects providing technical support.
- Drive the design of new data models and pipelines.
Skills
Education
Tools
Job description
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. 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. Leveraging Data, AI, and real‑time decision‑making we turn energy complexity into growth opportunities for our partners. By combining predictive algorithms with human‑centred design, Kaluza makes clean energy dependable and affordable. 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.
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. This is a technology platform that aims to revolutionise the operating platforms for energy retailers globally. This platform is being built with globalisation and regionalisation in mind and is the foundation for decarbonisation efforts by Kaluza’s customers. We are looking to transform to an international ready model to help the business take on new challenges and external customers. 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 as part of this. 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, from data ingestion, data cataloguing to data storage and exposing data externally.
As an Engineering Manager, you will be responsible for managing engineers and product analysts who work in our Data Platform team, product or business functions within the wider organisation. You will assist your team in the scoping, planning and delivery of data engineering and analytics engineering projects, assuming accountability for their execution, and flexing your time as you see necessary. You will introduce thought‑leadership on how to deliver excellent analytical and data engineering to the wider practice and contribute to cultivating a positive Kaluza community. It’s an exciting time currently at Kaluza to contribute to our future state architectural decisions with the opportunity to shape our data estate to represent the best analytical engineering practices.
- Staff Management: Lead the Data Platform and Analytics Engineering teams.
- Project Leadership: Scope and lead data engineering projects across the platform, providing technical support where needed.
- 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 and recruitment.
- Stakeholder Management: Collaborate with product management to prioritise work based on business impact and urgency.
Ideally you’ll have/be:
- People‑First Leader: You are passionate about developing others and helping people become the best version of themselves, with a strong focus on Diversity, Equity, and Inclusion.
- Experienced Manager: You are a dedicated leader who enables collective success and has experience leading data‑oriented teams of engineers.
- Technical Expert: You can draw on significant experience in data and analytics engineering to deliver high‑quality, actionable data pipelines.
- Architectural Mindset: You have experience designing and building data pipelines, strategic data architectural decisions, and high‑quality “data mart” objects across functions like product, finance, or strategy.
- Pipeline Specialist: You possess extensive experience in engineering robust ETL/ELT processes and data pipelines, with a focus on curating, transforming, and publishing data.
- Data Governance Focused: You have solid experience in implementing data models, master data management, and data quality rules.
- Strong Communicator: You have excellent presentation skills and can articulate results clearly to both technical and non‑technical senior stakeholders.
- Stack Proficient: You have experience working with a modern analytics stack, including SQL, GitHub, Python, BI tooling (e.g., Tableau), and native cloud services like AWS or GCP.
- 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
- 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
- Flexible working – we trust you to work in a way that suits your lifestyle
- And more…
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.
You can also find our Applicant Data Protection Policy here.
'/%3e%3cpath%20d='M101.744%2012.4726L102.894%2016.1947L99.0021%2013.2201L101.744%2012.4726ZM105.3%208.40937H100.488L99.0026%203.59473L97.5116%208.41047L92.7%208.40385L96.5965%2011.3834L95.1055%2016.1942L99.0021%2013.2196L101.408%2011.3834L105.3%208.40992V8.40937Z'%20fill='white'/%3e%3cdefs%3e%3clinearGradient%20id='paint0_linear_5593_1381'%20x1='90'%20y1='9.44471'%20x2='99'%20y2='9.44471'%20gradientUnits='userSpaceOnUse'%3e%3cstop%20stop-color='%2300AD70'/%3e%3cstop%20offset='0.998594'%20stop-color='%2300B67A'/%3e%3cstop%20offset='1'%20stop-color='%23DCDCE6'/%3e%3c/linearGradient%3e%3c/defs%3e%3c/svg%3e){kind=small}
