Data Engineer

• Build and optimise the platform used by the data team to transform raw data into business insights.
• Build new data sources and pipelines that deliver key data and insights to the business, including 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 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.
• Shape the direction of our growing team and coach team members on best practices.

• First and foremost, a passion for decarbonisation.
• 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 such as SQL & No SQL databases and API endpoints.
• Experience or expertise with:
  • Airflow
  • AWS
  • Kubernetes
  • Spark & distributed computing
  • dbt
  • Terraform
  • Databricks (desirable but not required)
  • MLOps implementation (desirable but not required)
• Distributed system optimisation techniques.
• Governance.

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.