Contract - Senior Data Engineer (Snowflake Cortex)
Summary
Contract Senior Data Engineer for a funded HealthTech start-up in London: design AI-enabled document processing pipelines in Snowflake (Cortex) and AWS to securely ingest and transform confidential clinical documents. 6-month engagement; stack spans Snowflake, Python, SQL, dbt, Airflow, Terraform, Docker.
Start Date: Monday 9th November 2026
Length: 6 months initially, with a chance of extension.
Interview Stages: 1-stage over Teams, with joint company owners (CEO and CTO)
Opus have partnered with a rapidly growing HealthTech start-up who's recently received funding. They're on a mission to build a next-gen data platform for processing millions of confidential patient records and clinical documents securely, and at scale. The successful Data Engineer will play a pivotal part in helping to design and deliver AI-enabled document processing pipelines using Snowflake Cortex, helping to extract valuable insights from unstructured healthcare data including patient records, referral letters, clinical notes, PDFs and compliance documentation.
The role:
- Design and build scalable data pipelines in Snowflake (Snowpipes)
- Design and develop cloud-native data platforms on AWS and Snowflake
- Build resilient document ingestion pipelines for healthcare data
- Develop ETL frameworks to transform raw clinical data into analytics ready datasets
- Build secure and compliant solutions that align with GDPR and healthcare data governance standards
Stack: Snowflake | Snowflake Cortex | AWS - S3, Glue, Lambda, Step Functions | Python | SQL | dbt | Airflow| Terraform | Docker | GitHub CI/CD
Requirements
- Must have advanced SQL and Python + experience delivering modern cloud-based data platforms
- Must have enterprise level snowflake experience
Nice to have:
- Snowflake Cortex experience
- Snowpro / AWS Certifications
- Experience handling sensitive data / Knowledge of GDPR, NHS DSPT or healthcare compliance frameworks
