At Octopus Electric Vehicles we’ve built a data platform that provides data services to all areas of our business.
Key Responsibilities
Own and optimise our platform architecture (improve reliability, scalability, maintainability, etc)
Shape the direction of our growing team and coach team members on best practices.
Shape engineering outputs and raising the technical bar of the organization without losing touch with hands-on engineering
Interact with Senior Leadership to present your data projects back to them
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 our back-end databases and our data platform
Requirements
First and foremost, a passion for decarbonisation
Ability to work with ambiguity and own problems end-to-end
Experience managing/mentoring/coaching high performance data teams
A passion for writing high quality code and building lean processes
Experience with distributed data processing
Experience with monitoring, testing, and data quality
Experience building robust pipelines from diverse sources e.g. parquet, SQL & no-SQL databases, API endpoints
It would be helpful to have experience/expertise/knowledge in the following:
Python
AWS
Kubernetes
Spark & distributed computing
dbt
Terraform
Data Warehousing (we use Databricks but experience with other platforms is fine)
MLOps implementation (desirable but not required)
Airflow (or other orchestration tooling)
Governance
Ready to Apply?
Join Octopus Energy and make an impact in renewable energy