Data Engineer

• Common tech stack used across different teams - need to be an expert in at least 1 area: ETL/ELT skills: Snowflake, AWS (including security & cost optimisation), Terraform, DataOps.Live, SQL, Python, Fivetran
  
• Experience building data products
  
• Experience ingesting data via API's
  
• Ability to understand and describe the problem and engage with business stakeholders
  
• Ability to communicate clearly, take responsibility, work independently as well as part of a team

Project specific technologies:

• Data Engineer - Study Patient (Master Consent Management)
• MongoDB (bonus)
• Data Engineer - Study Patient (Patient Data Products)
• Neo4J (bonus)
• Experience with sas7bdat files (bonus)

We are looking for a Senior Data Engineer with 6+ years of hands-on experience to design, build, and optimize robust data pipelines aimed at creating scalable, high-value data products.

,[you will play a central part in bridging technical data architecture with real-world business applications, collaborating directly with business stakeholders and engineering teams. We are actively hiring for specific project streams focused on our Study Patient domain (Master Consent Management & Patient Data Products).] Requirements: Data engineering, Data, SQL, AWS, Python, Snowflake, API, MongoDB, IaC, REST API, Terraform