At a Glance
- Tasks: Lead the development of data visualization and machine learning tools for impactful energy solutions.
- Company: Join Octopus Energy, a forward-thinking company dedicated to transforming energy usage with innovative technology.
- Benefits: Enjoy flexible salary discussions, a unique culture, and perks that truly matter to you.
- Why this job: Work on meaningful projects that contribute to Net Zero goals in a supportive and empowering environment.
- Qualifications: Passion for coding, experience in data services, and ability to manage multiple priorities are key.
- Other info: We value diverse applicants and encourage everyone to apply, regardless of meeting all requirements.
The predicted salary is between 43200 - 72000 £ per year.
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 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 won best company to work for in 2022, on Glassdoor we were voted 50 best places to work in 2022 and 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 and most recently The Sunday Times, Best Places To Work 2023 and again in 2024
- We want your hard work to be rewarded with perks you actually care about! Visit our UK perks hub – Octopus Employee Benefits
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.
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Head of Analytics Platform Engineering employer: Octopus Energy
Contact Detail:
Octopus Energy Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Head of Analytics Platform Engineering
✨Tip Number 1
Familiarize yourself with the specific technologies mentioned in the job description, such as Python, SQL, and Streamlit. Being able to discuss your experience with these tools during the interview will demonstrate your technical fit for the role.
✨Tip Number 2
Showcase your ability to work autonomously by preparing examples of past projects where you identified problems and delivered solutions independently. This aligns well with their need for someone who can manage multiple stakeholders and competing priorities.
✨Tip Number 3
Research Octopus Energy's culture and values, especially their focus on innovation and autonomy. Be ready to discuss how your personal values align with theirs, as cultural fit is important to them.
✨Tip Number 4
Prepare to discuss your experience with supplier management and team leadership, even if it's not a primary requirement. Highlighting these skills could set you apart, especially given the expected growth of the role.
We think you need these skills to ace Head of Analytics Platform Engineering
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data engineering, machine learning, and the specific technologies mentioned in the job description, such as Python, SQL, and cloud environments like AWS.
Craft a Compelling Cover Letter: In your cover letter, express your passion for data analytics and how your skills align with Octopus's mission to support green energy initiatives. Mention specific projects or experiences that demonstrate your ability to work autonomously and deliver pragmatic solutions.
Showcase Your Technical Skills: Be explicit about your technical expertise in your application. Include examples of tools you've built or implemented that enable insights from data, and any experience you have with the technologies listed in the job description.
Demonstrate Cultural Fit: Octopus values a unique culture of autonomy and collaboration. In your application, reflect on how you embody these values and provide examples of how you've worked effectively in team settings or managed multiple stakeholders.
How to prepare for a job interview at Octopus Energy
✨Show Your Passion for Data
Make sure to express your enthusiasm for data analytics and how it can drive meaningful change, especially in the context of energy and sustainability. Share examples of past projects where your work had a significant impact.
✨Demonstrate Technical Proficiency
Be prepared to discuss your experience with Python, SQL, and any relevant tools like Streamlit or ML Flow. Highlight specific instances where you built or implemented tools that enabled insights from data.
✨Balance Stakeholder Needs
Since the role involves managing multiple stakeholders, be ready to discuss how you've successfully navigated competing priorities in previous roles. Provide examples of how you balanced different needs while delivering results.
✨Emphasize Autonomy and Problem-Solving Skills
The company values self-driven individuals. Share experiences where you took initiative to scope problems and deliver pragmatic solutions independently. This will showcase your ability to thrive in their dynamic environment.