We are looking for a Data Engineer to help us bootstrap an internal data platform from the ground up. The ideal candidate will have 5+ years of experience in a Data Engineering or similar role, solid proficiency in SQL and at least one programming language, and hands-on experience with modern data stack tooling. This is a highly collaborative, hands-on role for someone who thrives in ambiguity, brings curiosity and proactivity, and is energised by the challenge of building something from scratch.

Requirements

  • 5+ years of experience in a Data Engineering or similar role (Analytics Engineering, Backend Engineering with heavy data work)
  • Solid proficiency in SQL and at least one programming language (Python, Scala, or similar)
  • Experience building and maintaining ETL/ELT pipelines and working with data warehousing or lakehouse architectures
  • Hands-on experience with modern data stack tooling — particularly a columnar warehouse (BigQuery, Snowflake, or similar), a transformation layer (dbt or equivalent), and an ingestion/CDC tool (Airbyte, Fivetran, or similar)
  • Familiarity with cloud platforms (GCP preferred) and their data services
  • Experience with workflow orchestration tools
  • Strong communication skills and the ability to work with non-technical stakeholders and translate their needs into data solutions
  • Comfort with ambiguity and an ability to make pragmatic decisions with incomplete information
  • Prior experience bootstrapping a data platform or data function from scratch