Python Data Engineer

We are looking for a Python Data / Platform Engineer to support an R&D initiative.

Key requirements:

• Strong hands-on Python and data engineering experience.
• Pharma / Life Sciences R&D experience (mandatory).
• Cloud object storage experience – AWS S3, Azure Blob/ADLS or Google Cloud Storage.
• Strong SQL, ETL/ELT pipelines and orchestration frameworks.
• CI/CD, DevOps and Agile development experience.
• Exposure to GenAI development and automation.

Engagement details:

• Location: London (2 days onsite per week).
• Duration: 12 months.
• Allocation: 100% (full-time commitment).

Note: A Python Data Engineer who worked on scientific or research datasets for GSK, AstraZeneca, Roche, UCB or similar pharma organizations would be a stronger match than a healthcare Data Engineer with no pharmaceutical R&D exposure.

swathi@scubedimensions.com