Main requirements:
- 3+ years of experience in a data engineering role.
- Experience with cloud warehousing platforms such as Redshift or BigQuery.
- Experience with data orchestration platforms such as Airflow, Prefect, or Dagster (optional).
- Experience architecting and building big data solutions in the cloud, specifically those that leverage data lakehouse technologies, with a focus on performance optimisation and partitioning.
- Experience with a transformation workflow framework like dbt or SQLMesh.

Must have:
- Strong knowledge of data warehousing strategies to include Inmon, Kimball and Data Vault.
- Experience with data quality, ideally using a framework such as Great Expectations.
- Experience in healthcare or behavioral health sectors.
- Proven track record of architecting and deploying high-scale data infrastructure.
- Good spoken English

What we offer:

• Remote job with the freedom to work from anywhere in the world.
• Competitive and timely salary.
• Opportunities for professional growth and development.
• The chance to gain experience in various fields and participate in exciting projects.
• Your ideas and initiatives are always welcome and valued.