Senior Data Engineer

We are seeking a Senior Data Engineer to lead the design and implementation of a modern analytical platform and data warehouse in the health and life sciences domain. This role requires someone who can operate at both strategic and hands-on levels, effectively bridging scientific and engineering teams while collaborating closely with development teams and scientific stakeholders.

• Design and implement data architecture and warehouse solutions
• Build and maintain ETL pipelines using Python and SQL
• Develop and optimize a ClickHouse-based analytical platform
• Define canonical models for biological data (traits, genes, phenotypes, variants)
• Ensure data provenance, lineage, and reproducibility
• Implement dbt-based transformation and release workflows
• Collaborate with stakeholders on data products and architecture trade-offs
• Optimize performance for large-scale datasets (2TB+)
• Work with Parquet ingestion pipelines (Spark if needed)

• 6+ years of experience in Data Engineering
• Strong expertise in Python, SQL, and ETL pipelines
• Experience with at least two data warehouses: Snowflake, Amazon Redshift, ClickHouse
• Solid understanding of data modeling and analytical platforms
• Hands-on experience with dbt
• Experience optimizing high-volume analytical workloads
• Ability to make architecture decisions and trade-offs
• Strong communication skills with cross-functional teams