At a Glance
- Tasks: Build and maintain a cutting-edge data platform for smarter energy decisions.
- Company: Join Octopus Energy, a leader in renewable energy with a vibrant culture.
- Benefits: Enjoy competitive pay, flexible work options, and opportunities for growth.
- Other info: Be part of a diverse team in a supportive and inclusive environment.
- Why this job: Make a real impact in the renewable energy sector while working with innovative technologies.
- Qualifications: Experience in IaC, CI/CD, and API gateways is essential.
The predicted salary is between 63000 - 77000 £ per year.
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 (Ia C) using Terraform across development, test, and production environments.
- Strengthen CI/CD practices in Git Hub 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 & Fin Ops
- 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 Ia C (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 Saa S)^.
- Familiarity with Fin Ops 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.
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Data Platform Engineer employer: Octopus Energy Ltd
Join a dynamic and supportive team as a Sales Executive in the vibrant Central Belt of Scotland, where you'll enjoy the freedom of working across various venues and locations. With a competitive salary, uncapped commission, and comprehensive training, this role offers excellent opportunities for personal and professional growth while allowing you to engage with customers face-to-face and make a real impact. Experience a rewarding work culture that values enthusiasm, communication, and teamwork, making it an ideal place for those looking to build a successful career in sales.
StudySmarter Expert Advice🤫
We think this is how you could land Data Platform Engineer
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Octopus Energy Ltd!
✨Show Off Your Projects
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✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Octopus Energy Ltd.
✨Apply Directly through Our Website
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We think you need these skills to ace Data Platform Engineer
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Octopus Energy Ltd, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Octopus Energy Ltd. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Octopus Energy Ltd
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Octopus Energy Ltd!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
