Understand our data landscape and architecture.
Strong skillset in data modelling.
Build and maintain data pipelines.
Work with the team to engineer tools based on data requirements, manage development from prototyping to productionising.
Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, improve existing tools for greater scalability, etc.
Develop and maintain data and coding standards, produce well-documented codes with robust testing and aligned with our data governance.
Helping us implement a data-driven mindset in the company.

Previous experience working as a data engineer in a start-up or fast-paced organisation.
STEM background or similar.
You have strong Python programming skills (built production-grade tools, have a test-driven approach, consistent and well documented code).
You have strong SQL skills.
Deployed applications on cloud services.
Experience in using orchestration tools (Airflow, Dagster or Prefect).
Experience with container technology (Docker, Kubernetes).
Experience with CI/CD pipelines (preferably Azure DevOps)
Experience with application deployment to Cloud services (GCP, AWS, Azure preferred).

Senior Data Engineer

Key skills