Data Engineer
At Octopus Electric Vehicles we’re developing a data platform that provides data services to all areas of our business. The aim of the platform is to enable self-service of data analytics to data hungry internal users as well as automation of all our data workflows - from simple ETL jobs to (future) ML training and prediction.
The data team at OEV is a newly established team and is growing at speed. We have invested time and resources on establishing a core data platform, and are now leveraging technology to automate processes and reporting, so we can focus on solving interesting problems and answering complex questions across the whole customer domain - from customer operations to financial modelling.
We are looking for an experienced data engineer that is equally passionate about using technology to grow the business and decarbonise the UK’s fleet.
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 travel sustainably.
At Octopus Electric Vehicles we’re developing a data platform that provides data services to all areas of our business. The aim of the platform is to enable self-service of data analytics to data hungry internal users as well as automation of all our data workflows - from simple ETL jobs to (future) ML training and prediction.
The data team at OEV is a newly established team and is growing at speed. We have invested time and resources on establishing a core data platform, and are now leveraging technology to automate processes and reporting, so we can focus on solving interesting problems and answering complex questions across the whole customer domain - from customer operations to financial modelling.
We are looking for an experienced data engineer that is equally passionate about using technology to grow the business and decarbonise the UK’s fleet.
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 travel sustainably.
What you'll do
Build and optimise the platform used by the data team to transform raw data into business insights
Build new data sources and data pipelines that deliver key data and insights to the business (this will include integration with third party systems and ingestion through APIs)
Scope and deliver new data engineering projects in collaboration with business stakeholders
Develop and deploy ML infrastructure to help build out our ever-growing AI requirements and use cases
Collaborate closely with our dev teams to build seamless integrations between between our back-end databases and our data platform
Shape the direction of our growing team and coach team members on best practices
What you'll have
You don’t need experience with electric vehicles/leasing (we can teach you that!), but having worked in similar Start-Up/Scale Up environments might be a bonus.
A passion for writing high quality code and building lean processes
Experience with distributed data processing
Experience with monitoring, testing, and data quality
Ability to work with ambiguity and own problems end-to-end
Experience building robust pipelines from diverse sources e.g. SQL & no-SQL databases, API endpoints
It would be helpful to have experience/expertise/knowledge in the following:
Airflow
AWS
Kubernetes
Spark & distributed computing
dbt
Terraform
Databricks (desirable but not required)
MLOps implementation (desirable but not required)
Distributed system optimisation techniques
Governance
Why else you'll love it here
Things to note
🤖 We use AI to help us assess applications fairly and objectively. We’re totally fine with you using AI as a tool to help prepare too. That said, when we get to the interview and assessment stage, we’re really interested in hearing your unique perspective and real-world stories. That’s the stuff we can’t get from a bot or a prompt!
