Senior Data Platform Engineer

Worklane GmbH; Greater London; On-site; GBP 110,000 - 160,000; Full time

Job summary

Octopus Energy Group is building a production-grade, governed platform to deploy AI-enabled tools, agents, and data products safely and at scale. You will join the Systems and Data / Transformation team turning designs into production infrastructure, working with data engineers, application builders, and stakeholders across Finance, Asset Management, and Fund Operations.

This role focuses on federated identity, access governance, and secure AI gateways, with IaC (Terraform), CI/CD (GitHub

Qualifications

• Federated identity, token exchange, permission propagation, SCIM provisioning, and access lifecycle management.
• Experience with Terraform IaC and production CI/CD pipelines (environment promotion, rollback, release controls).
• API gateway hardening: authentication, routing, rate limiting, access policy enforcement.
• Cloud and data environments across Azure, AWS, or Databricks ecosystems.
• Able to translate architectural specs into practical code and communicate trade-offs clearly.

Responsibilities

• Platform Engineering & CI/CD: Build and maintain IaC across environments; strengthen CI/CD practices.
• Identity, Access & Security: Design federated identity architectures and provisioning models.
• AI Gateway & Governance: Harden AI gateway and agent orchestration layers with secure controls.
• Observability & FinOps: Implement observability, monitoring, and cost attribution.
• Enablement & Integration: Deploy vector databases and ensure governance alignment with Databricks Unity Catalog.

Skills

Federated identity

Terraform IaC

CI/CD pipelines

API gateway security

Cloud & data environments

Pragmatic mindset

Tools

Okta

Entra ID

ZScaler

Unity Catalog

Databricks

GitHub Actions

Terraform

Job description

Help us make a big green dent in the universe. We're on a mission to drive the global renewable energy revolution, and we need many more people to help us make our vision a reality.

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.

About the role:

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.

Sitting within the Systems and Data / Transformation team, you will turn existing platform architectures, governance specs, and prototype patterns into production-grade infrastructure. You’ll work alongside our Tech and Transformation Lead, data engineers, application builders, and business stakeholders across Finance, Asset Management, and Fund Operations.

This is not a general DevOps or blank-page architecture role. The primary focus is designing and implementing enterprise-grade identity, access, and governance controls across human users, systems, and non-human agents.

Our Tech & Ecosystem: Databricks, Lakebase, Unity Catalog, Entra ID / Azure Identity, Okta, ZScaler, GitHub Actions, MCP patterns, and Terraform.

What you'll do

Platform Engineering & CI/CD

• 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.

What you'll need

• 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).

Why else you'll love it here

• Wondering what the salary for this role is?Just ask us! On a call with one of our recruiters it's something we always cover as we genuinely want to match your experience with the correct salary. The reason why we don't advertise is because we honestly have a degree of flexibility and would never want salary to be a reason why someone doesn't apply to Octopus - what's more important to us is finding the right octofit!
• Octopus Energy Group is aunique 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 theUK's top company to work for, and we ranked in thetop ten in the Sunday Times Best Places to Work 2024. Our Group CEO, Greg has recordeda podcast about our cultureand how we empower our people. We’ve also been placed in thetop 10 companies for senior leadership

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.