Senior Data Engineer; Snowflake Cortex
Listed on 2026-10-18
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IT/Tech
Data Engineering, Data Warehousing, Information Security & Data Protection, AWS
Rate: £(Apply online only) per day, Outside IR35
Location:
London (2 days per week, on-site)
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 Health Tech 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 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
Snowflake | Snowflake Cortex | AWS - S3, Glue, Lambda, Step Functions | Python | SQL | dbt | Airflow| Terraform | Docker | Git Hub CI/CD
Requirements- Must have advanced SQL and Python + experience delivering modern cloud-based data platforms
- Must have enterprise level snowflake experience
- Strong AWS data engineering experience (Glue preferred)
- Relevant Health Tech / Med Tech experience
- Snowflake Cortex experience
- Snowpro / AWS Certifications
- Experience handling sensitive data / Knowledge of GDPR, NHS DSPT or healthcare compliance frameworks
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