Azure Data Engineer

Job description

Industry: Life Science/Pharmaceutical

Work model: 100% remote

Assignment type: B2B

Start: ASAP/1 month

Project length: 12 months + extension

Project language: English

We’re looking for Azure Data Engineer to join to team works on Medical AI & Analytics product, that aids data scientists in delivering efficient and reliable advanced clinical data analytics.


  • Build, develop and maintain data ingestion pipelines (ELT/ETL) especially focusing on non-tabular data such as images, documents, etc
  • Enhance platform efficiency by implementing continuous improvements.
  • Support our Clinical Digitalization through close collaboration within your agile team and across sibling agile teams to facilitate ongoing development.
  • Support our overall goal to improve the clinical experience for patients, doctors, and nurses world-wide by applying your technical expertise, insights, and curiosity.


  • Several years of experience working with Azure Cloud building high performance data pipelines
  • Azure Databricks
  • CI/CD pipelines (Azure DevOps, git)
  • Should have familiarity with building Ingestion and Transformation (ETL/ELT) pipelines, especially for non-tabular (aka NoSQL) data which could include stuff like images, documents, graph data etc.

Nice to have:

  • Experience in the Pharma domain or other highly regulated areas is an advantage.
  • Excels at multi-cultural communication and collaboration in distributed teams. A colleague who has a structured approach to organizing work, is open to feedback, works independently and adheres to deadlines.

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