Head of Analytics Platform Engineering

Octopus Energy
London
1 year ago
Applications closed

Related Jobs

View all jobs

Western Europe Practice Head - Data Science (Machine Learning/Artificial Intelligence (ML/AI)

Analytics Specialist with Data Science

Data Scientist

Head of Data Science

Head of Data Science

Head of Data Science

At Octopus we’ve developed data platforms to provide data services to our businesses around the world. The data platform enables self-service of data analytics to hundreds of data hungry users as well as automation of all our data workflows from simple ETL jobs to ML training and prediction. This supports work across the whole energy domain, from measuring performance of our green energy generation assets to processing billions of smart meter readings for innovative tariffs.As the volume, scope and geographical range of our data services rapidly expand, we’re looking for an engineer to join the team to help us build and maintain the data visualisation and analytical platform capabilities to support the whole business, enabling ML tooling for the data science team, intuitive dashboards for our front-line operators and many other impactful uses of our data.This is a fantastic opportunity to work on data problems that genuinely move us closer to Net Zero with a company that is passionate about building great technology to change the way customers use energy.A little heads-up: With some of our team taking some well-deserved annual leave over the next couple of weeks, we may not get around to carefully reviewing all applications until the new year. Every application gets reviewed by a real human, and we’ll be in touch to let you know either way—whether it’s a yes or, sadly, a no this time round. Thanks for your patience and understanding!

What you'll do...

Build tools and services to improve our data visualisation and machine learning capabilities Build and maintain testing and documentation frameworks for our data sources Work with the business to scope and deliver new data engineering projects and requirements Maintain and build on our existing data infrastructure and tools Advise on decisions to buy platforms or build in-house Support the internationalisation of our data infrastructure

What you'll need...

A passion for writing high quality code An ability to balance multiple stakeholders and competing priorities The projects will be varied and self-driven, so we’re looking for someone who can work autonomously and proactively to scope problems and solve and deliver pragmatic solutions Experience in supplier management will be a bonus, as will people management given expected future growth of this role Experience building and/or implementing tools which enable insights to be drawn from data

It would be helpful to have experience/expertise in the following (in rough priority order):  Python SQL Streamlit ML Flow Experience deploying data services in a cloud environment (ideally AWS)

Our data platform stack...

Python as our main programming language Databricks as our datalake platform Kubernetes for data services and task orchestration Streamlit for data applications Airflow purely for job scheduling and tracking Circle CI for continuous deployment Parquet and Delta file formats on S3 for data lake storage Spark for data processing dbt for data modelling SparkSQL for analytics

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 won in 2022, on Glassdoor we were voted and our Group CEO, Greg has recorded and how we empower our people. We’ve also been placed in the and most recently and again in We want your hard work to be rewarded with perks you actually care about! Visit our UK perks hub -

If this sounds like you then we'd love to hear from you.Are you ready for a career with us? We want to ensure you have all the tools and environment you need to unleash your potential. 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!Studies have shown that some groups of people, like women, are less likely to apply to a role unless they meet 100% of the job requirements. Whoever you are, if you like one of our jobs, we encourage you to apply as you might just be the candidate we hire. Across Octopus, we're looking for genuinely decent people who are honest and empathetic. Our people are our strongest asset and the unique skills and perspectives people bring to the team are the driving force of our success. 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.

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

How to Write an AI Job Ad That Attracts the Right People

Artificial intelligence is now embedded across almost every sector of the UK economy. From fintech and healthcare to retail, defence and climate tech, organisations are competing for AI talent at an unprecedented pace. Yet despite the volume of AI job adverts online, many employers struggle to attract the right candidates. Roles are flooded with unsuitable applications, while highly capable AI professionals scroll past adverts that feel vague, inflated or disconnected from reality. In most cases, the issue isn’t a shortage of AI talent — it’s the quality of the job advert. Writing an effective AI job ad requires more care than traditional tech hiring. AI professionals are analytical, sceptical of hype and highly selective about where they apply. A poorly written advert doesn’t just fail to convert — it actively damages your credibility. This guide explains how to write an AI job ad that attracts the right people, filters out mismatches and positions your organisation as a serious employer in the AI space.

Maths for AI Jobs: The Only Topics You Actually Need (& How to Learn Them)

If you are a software engineer, data scientist or analyst looking to move into AI or you are a UK undergraduate or postgraduate in computer science, maths, engineering or a related subject applying for AI roles, the maths can feel like the biggest barrier. Job descriptions say “strong maths” or “solid fundamentals” but rarely spell out what that means day to day. The good news is you do not need a full maths degree worth of theory to start applying. For most UK roles like Machine Learning Engineer, AI Engineer, Data Scientist, Applied Scientist, NLP Engineer or Computer Vision Engineer, the maths you actually use again & again is concentrated in a handful of topics: Linear algebra essentials Probability & statistics for uncertainty & evaluation Calculus essentials for gradients & backprop Optimisation basics for training & tuning A small amount of discrete maths for practical reasoning This guide turns vague requirements into a clear checklist, a 6-week learning plan & portfolio projects that prove you can translate maths into working code.

Neurodiversity in AI Careers: Turning Different Thinking into a Superpower

The AI industry moves quickly, breaks rules & rewards people who see the world differently. That makes it a natural home for many neurodivergent people – including those with ADHD, autism & dyslexia. If you’re neurodivergent & considering a career in artificial intelligence, you might have been told your brain is “too much”, “too scattered” or “too different” for a technical field. In reality, many of the strengths that come with ADHD, autism & dyslexia map beautifully onto AI work – from spotting patterns in data to creative problem-solving & deep focus. This guide is written for AI job seekers in the UK. We’ll explore: What neurodiversity means in an AI context How ADHD, autism & dyslexia strengths match specific AI roles Practical workplace adjustments you can ask for under UK law How to talk about your neurodivergence during applications & interviews By the end, you’ll have a clearer picture of where you might thrive in AI – & how to set yourself up for success.