Senior Data Engineer

We're making energy fair, clean, and simple for all using technology.

Octopus Energy started with a bold idea: to build Britain’s first truly digital energy supplier. By combining world-class tech with brilliant humans who care deeply about customers and driving the renewable energy transition, we made it happen and in 2025, we became Britain’s largest energy supplier.

Octopus Energy Group is a global energy transition collective. 10 businesses working across 4 continents to tackle energy transformation at nearly every front.

And we constantly push to make energy better. Tirelessly campaigning for fair protections for customers. And building innovative technologies that forge a path to a green energy system.

We’re made up of 10,000+ authentic, committed people working around the world on stuff you'd never expect. We're united by a shared goal: to drive the global green energy revolution. Read our Spotlight series to meet some of the team.

To deliver on this mission, we are looking for a Senior Data Engineer to join the Flexibility team.

The Flexibility team was established in early 2026, and has been growing throughout the year. The team is focused on greenfield opportunities at the cutting edge of Octopus' flexibility strategy, and aims to enable rapid response to global flex opportunities.

They are building the next generation of products and tools to make energy more flexible. These include our flagship Intelligent Octopus product automating demand shift for 300,000 customers with electric cars, home batteries or smart heating devices, saving 2 million customers money through Saving Sessions and Free Electricity Sessions, and managing 568MW of large grid-scale batteries to balance the system. The team develops products that are used by millions of customers, helping boost renewables use and decarbonise energy systems worldwide.

We embrace flat hierarchies and an open, agile culture that fosters innovation, flexibility, and creativity.

We don’t hang our personalities up with our coats and nor should you. At Octopus, we hire great people who get stuff done, all whilst being themselves.

If this sounds exciting, we’d love to chat.

What you'll do

• Acting as the flexibility team’s first full-time data engineer, establish the team’s data capability, lead the team’s data engineering technical direction and represent the team to the cross-team data community

• Upskill data-literate backend engineers, act as the team's data expert and as a multiplier on other engineers' impact

• Establish greenfield data engineering systems in a newly established AWS environment

• Provide a foundational layer of high quality data processing and warehousing that will enable future projects for both our team and others

• Maintain and develop critical data applications - scoping and implementing architectural improvements for long-term global scalability, robustness and operational efficiency

• Interface with the established data warehouse, built on Databricks

• Take ownership of data platform improvements that enhance the capabilities for all teams and drive trust in the stability of the system

What you'll have

• Strong aptitude with SQL, Python and AWS data stack essential;

• Experience building efficient, scalable databases and APIs (e.g. Django, FastAPI) a huge plus;

• Experience in Kubernetes, Docker, Spark and related monitoring tools (e.g. DataDog, Grafana, Prometheus) for DataOps a huge plus;

• Experience with Airflow a huge plus;

• Experience with dbt for pipeline modelling also beneficial;

• Skilled at shaping needs into a solid set of requirements and designing scalable solutions to meet them;

• Able to quickly understand new domain areas and visualise data effectively;

• Team player excited at the idea of ownership across lots of different projects and tools;

• Drives knowledge sharing and documentation for a more effective platform;

• Desirable: energy domain knowledge

Our core data stack

• Python as our main programming language

• Databricks Spark for data processing

• Databricks/dbt/SQL for data modelling and analytics

• Streamlit for data applications and visualisations

• Airflow for job scheduling and tracking

• CircleCI for continuous deployment

• Parquet and Delta file formats on S3 for data lake storage

• Terraform for our infrastructure definition

• Kubernetes for data services and task orchestration

• Datadog/Grafana/Prometheus for platform monitoring

• Django for custom databases and frameworks

• Postgres / Aurora for our relational databases

• Notion for documentation