Clinical Data Engineer

About the role

Following our successful expansion into the U.S. and continued growth across Europe, we are seeking Clinical Data Engineers to help drive our Data function from our Austin hub. This person will build the pipelines and infrastructure that turn raw, messy clinical data into clean, structured, standards-compliant datasets Aika can learn from.

Key Responsibilities

• Build and maintain data pipelines that ingest, clean, and structure clinical data at scale
• Apply clinical data standards (CDISC SDTM/ADaM) within pipeline logic
• Partner with Clinical Data Leads to translate domain requirements into engineering specs
• Ensure data quality, validation, and monitoring are built into every pipeline
• Debug and resolve data pipeline issues quickly and independently
• Document pipeline logic clearly for the wider data team

Requirements

• Must-haves:
  • 3+ years in data engineering, with real experience building production data pipelines
  • Strong SQL and Python skills
  • Familiarity with clinical or healthcare data (even if standards knowledge is still developing)
  • Comfortable working with cloud data warehouse environments (Snowflake or similar)
  • Excellent written and verbal communication skills in English
• Nice-to-Haves:
  • Direct experience with CDISC SDTM/ADaM
  • Experience with ETL/orchestration tooling (Airflow, dbt, or similar)
  • Exposure to healthtech or life sciences data environments