
Kaluza Product Specialist
- SQL
- dbt
- Databricks
- BigQuery
- Python
- Datadog
- Terraform
- AWS Lambda
- Step Functions
- Amazon EventBridge
- SQS
- Kubernetes
- Temporal
- AI
- REST API
- IaC
- AWS
- CloudWatch
- Health insurance
- Learning budget
- Home-office budget
- Pension
Location: London / Bristol / Edinburgh UK (Hybrid)
Salary: ÂŁ47,200 - ÂŁ59,000
Level: C2
Team: Kaluza Product Specialists (KPS), Product & Tech Operations
This role can be located 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.
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.
What will I be doing?
Kaluza Product Specialists are the retail-energy experts who build the processes that catch what the core platform automation misses. When a customer journey breaks across billing, contracts and metering at once, no single product team owns the fix and the platform doesn't yet cover it. That is our work: find the affected accounts in the data, apply the correct and compliant remediation through internal platform APIs, and audit every action so the outcome is defensible to a client and a regulator.
You'll sit within KPS, part of Product & Tech Operations alongside Client Support and Platform Performance Assurance. Some of what reaches you arrives by escalation from the Client Support teams and service desk, from incident and problem management, or from a product team that has hit the edge of what its own domain can resolve.Â
Key Responsibilities
Escalation & In-Depth Analysis
- Take escalations from Client Support, incident and problem management, and product teams, and own the analysis through to a decided course of action
- Identify the genuinely affected cohort across multiple platform domains, rather than the cohort that's easiest to query
- Decide the correct and compliant remediation, accounting for regulatory limits (back-billing, customer protection obligations) and downstream financial and accounting effects
- Feed findings back into the originating incident or problem with the evidence and trace references behind them to avoid silent resolutions
- Judge, at intake, whether something is a one-off cohort or a recurring pattern that warrants a built process
Data Engineering & Cohort Detection
- Build and own scheduled SQL models (dbt on Databricks, Dataform on BigQuery) that detect broken journeys and output the accounts currently needing action
- Work within our multi-client SQL framework, layered models, DAGs and dependencies, lineage, versioning and auditing and keep outputs accurate as upstream data and business rules move underneath them
- Interrogate data across billing, ledger, payments, reads, contracts and industry domains to validate a hypothesis before it becomes a fix
Process Automation & API Integration
- Write Python processes that read the operational table, build the conditional journey logic, and call internal platform APIs account by account
- Audit every attempt, request, response, trace token, timestamp and outcome to our data platform and Datadog, because an unauditable remediation isn't a remediation
- Build in the safety that regulated work demands: dry runs, rate limiting, and the ability to roll back
- Deliver ad-hoc remediation at pace when an incident calls for it, working from your own query against a shared execution environment
Infrastructure & Operational Readiness
- Deploy processes as scheduled, monitored infrastructure defined in Terraform, AWS (Lambda, Step Functions, EventBridge, SQS) for our legacy clients, Kubernetes CronJobs on KMI for Gen2, with Temporal ahead
- Configure monitoring, alerting and runbooks so a process can run silently and safely, and so failures reach a human
- Contribute to the global build with local extensibility direction: shared code, client-specific configuration, and patterns that carry across regions rather than being rebuilt per client
Product & Feature Delivery Support
- Pick up planned initiative and client-requested delivery through the AKPS backlog, meeting Definition of Ready and Definition of Done including monitoring, alerting and documentation
- Embed with value-stream and product teams where a delivery needs operational depth around the platform
- Support industry-wide programmes where platform coverage doesn't yet exist
Continuous Improvement
- Push recurring manual intervention back to Product & Tech as a signal for a systemic fix, and be honest about where a KPS process is covering for a gap that should be closed properly
- Reduce manual effort through automation and AI as a default
- Share patterns and learnings across regions and with the wider engineering community
About YouÂ
Ideally you’ll have/be
- Deep retail-energy domain knowledge such as billing, contracts, payments, metering and reads, industry processes, built up in customer service, retailer or industry operations, and an understanding of the regulatory obligations that sit over them
- Strong SQL, with experience building and maintaining data models (dbt, Dataform or similar) rather than only querying them
- Solid Python, ideally including calling and integrating REST APIs
- A forensic approach to problem-solving: you'll trace a journey through logs, metrics and data to establish what actually happened rather than what was reported
- Comfortable working across several domains at once and holding the whole picture, not just your own patch
- Careful with clients customers and data you understand why an audit trail and testing matters before an action touches live accounts
- Willing to use AI tooling to raise your own throughput, and clear-eyed about where expert oversight is non-negotiable
- Able to manage competing priorities between scheduled delivery and reactive escalation, and to switch between them without losing either
- Strong written communication, with the confidence to explain a technical finding to a client-facing colleague or a senior stakeholder and be understood
What will set you apartÂ
- Exposure to infrastructure-as-code (Terraform) and cloud infrastructure (AWS), including serverless and container/scheduling patterns (Lambda, Step Functions, Kubernetes CronJobs)Â or a genuine appetite to learn them quickly
- Experience with observability tooling (Datadog, CloudWatch) and setting up monitoring you'd be willing to be woken up by
- Familiarity with Databricks or BigQuery at scale
- Experience of platform migration work, and the volume of remediation it tends to generate
- Having worked somewhere the same problem was solved twice in two regions, and having done something about it
Where you'll work
We offer flexible working, with an expectation of 3 days a week in the office. This gives us the best of both: real time together to collaborate and build relationships, with the flexibility to work in the way that suits you best the rest of the week.
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.
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
- 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 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 ourcareers page andLinkedIn.Â
You can also find our Applicant Data Protection Policyhere.
Kaluza Product Specialist · Kaluza