Data Platform Engineer

Octopus Energy Ltd; City of Westminster; On-site; GBP 90,000 - 130,000; Full time

Job summary

Octopus Energy Group is expanding a production-grade, governed platform to empower AI-enabled tools, agents, and data products at scale.

The role focuses on building and maintaining infrastructure as code, strengthening CI/CD, and enabling secure identity, access, and governance across cloud and SaaS ecosystems.

Qualifications

• Extensive experience with IaC and Terraform across environments.
• Strong CI/CD practices using GitHub Actions.
• Ability to translate designs into maintainable engineering patterns.
• Experience with federated identity systems and access lifecycle management.

Responsibilities

• Build and maintain IaC with Terraform across development, test, and production environments.
• Strengthen CI/CD practices in GitHub Actions, establishing repeatable deployment patterns and release controls.
• Support architecture decisions by converting designs into maintainable engineering patterns.

Skills

CI/CD

Architectural design

Autonomous engineer

Plain English comms

Tools

Terraform

GitHub Actions

Databricks

Unity Catalog

Okta

ZScaler

Entra ID

Job description

As part of our mission to drive smarter energy decisions, we are building a production-grade, governed platform that empowers our teams to deploy AI-enabled tools, agents, and data products safely and at scale.

Key Responsibilities

• Build and maintain Infrastructure-as-Code (IaC) using Terraform across development, test, and production environments.
• Strengthen CI/CD practices in GitHub Actions, establishing repeatable deployment patterns, environment promotions, automated rollbacks, and release controls.
• Support architecture decisions by converting designs into maintainable, well-documented engineering patterns.

Identity, Access & Security

• Design and implement federated identity architecture across Okta, Entra ID, and ZScaler.
• Build identity, token exchange, and permission propagation models that work for both human users and non-human AI agents.
• Implement SCIM provisioning/deprovisioning and access models with single-revoke capability and full auditability.

AI Gateway & Governance

• Harden existing AI gateway and agent orchestration layers (built on MCP patterns) into secure, production-ready capabilities.
• Implement API gateway controls: authentication, routing, rate limiting, token budgets, policy-as-code, and action logging.
• Build platform-, tool-, and agent-level kill switches, alongside dry-run/safe-testing modes for agent workflows.

Observability & FinOps

• Implement AI system observability, including prompt logging, output monitoring, quality scoring, and drift detection.
• Establish operational monitoring for gateway usage, latency, error rates, and model routing logic.
• Enforce token budgets, cost alerts, and usage/cost attribution by team and use case.

Enablement & Integration

• Deploy vector database and retrieval infrastructure (e.g., Databricks AI Search) to support Document AI and RAG use cases.
• Align platform controls with Databricks and Unity Catalog governance patterns.
• Provide clear documentation, reusable patterns, and self-service onboarding guidance so delivery squads can deploy tools without bespoke manual intervention. Federated Identity Mastery: Proven experience designing and implementing enterprise-grade federated identity, token exchange, permission propagation, SCIM provisioning, and access lifecycle management^.
• Platform Foundations: Strong hands-on experience with IaC (Terraform) and production CI/CD pipelines (environment promotion, rollback, release controls)^.
• API Gateways: Experience hardening API gateway patterns (authentication, routing, rate limiting, access policy enforcement)^.
• Cloud & Data Environments: Technical comfort working across Azure, AWS, or Databricks platform ecosystems^.
• Pragmatic Mindset: Highly autonomous engineer comfortable in a lean team; skilled at translating architectural specs into practical code and communicating trade-offs clearly in plain English^.

And to really stand out from the crowd

• Experience with AI gateways, LLM proxies, or model-routing patterns^.
• Exposure to AI observability tools, vector databases (Databricks AI Search), RAG pipelines, or non-deterministic system monitoring^.
• Hands-on experience implementing policy-as-code, action logging, or AI kill switches^.
• Direct experience with Okta, ZScaler, Entra ID, Unity Catalog, or M365 migration environments^.
• Background in regulated or high-governance industries (Financial Services, Energy, Infrastructure Investment, Fintech, or Enterprise SaaS)^.
• Familiarity with FinOps practices (token budgeting, usage tracking, cost attribution)^. Octopus Energy Generation (OEGEN) is a leader in sourcing, investing in, and managing a wide range of utility-scale renewable energy assets. As we continue to expand our investment base, we are dedicated to building a diverse team that reflects the communities we serve. Currently, we manage a global portfolio of over £8 billion in renewable energy assets.

Company Culture

Octopus Energy Group is a unique culture. An organisation where people learn, decide, and build quicker. Where people work with autonomy, alongside a wide range of amazing co-owners, on projects that break new ground. We want your hard work to be rewarded with perks you actually care about! We were recently named the UK's top company to work for, and we ranked in the top ten in the Sunday Times Best Places to Work 2024. Our Group CEO, Greg has recorded a podcast about our culture and how we empower our people. We've also been placed in the top 10 companies for senior leadership

Our process usually takes up to 4 weeks, but we'll always do our best to flex around what works for you. Along the way, you'll chat with our recruitment team and your Recruiter will help you throughout different stages.

Need any specific accommodations? Whether you require specific accommodations or have a unique preference, let us know, and we'll do what we can to customise your interview process for comfort and maximum magic!

As an equal opportunity employer, we do not discriminate on the basis of any protected attribute. Our commitment is to provide equal opportunities, an inclusive work environment, and fairness for everyone. Where necessary, we sometimes use AI tools to help with parts of our hiring process, like reviewing applications or assessing responses. We're lucky to receive a huge amount of interest, so these tools help our recruiters manage that volume, not replace them. Ultimately, every hiring decision (for example, whether to progress your application or not) is always made by a real person in our Talent team.