Data Engineer - Pharma / MedTech

Data Engineer - Pharma / MedTech

Posted 3 days ago by Arrows

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£600 Per day
Outside
Hybrid
London Area, United Kingdom
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Amazon Web Services (AWS) Cloud Computing Cloud Technology Data Engineering Data Processing Data Warehousing Extract Transform Load (ETL) Google Cloud Platform (GCP) Microsoft Azure Power BI Python (Programming Language) SQL (Programming Language) Stakeholder Management

Summary: The Data Engineer role focuses on developing a data platform for a client in the pharma sector, emphasizing research and lab analytics. Candidates must possess significant experience in pharma or life sciences, along with strong technical skills in SQL, Python, and cloud data platforms. The position is hybrid and offers a competitive daily rate.

Key Responsibilities:

  • Build and enhance the data platform to support research and lab analytics.
  • Develop ETL/ELT pipelines for data processing.
  • Utilize cloud data platforms such as AWS, GCP, or Azure.
  • Implement data warehousing and modeling solutions.
  • Create reports and dashboards using Power BI or similar tools.
  • Work with lab and scientific datasets.

Key Skills:

  • 6+ years of experience in data engineering.
  • Minimum 2 years of experience in pharma or life sciences.
  • Strong proficiency in SQL and Python.
  • Experience with ETL/ELT pipeline development.
  • Familiarity with cloud data platforms (AWS, GCP, Azure).
  • Data warehousing and modeling expertise.
  • Experience with Power BI or similar reporting tools.
  • Ability to work with lab/scientific datasets.

Salary (Rate): £600 daily

City: London Area

Country: United Kingdom

Working Arrangements: hybrid

IR35 Status: outside IR35

Seniority Level: undetermined

Industry: Other

Detailed Description From Employer:

New Role: Data Engineer (Pharma / Life Sciences) Pharma Experience Required

£600 per day Outside IR35 6 Month Contract UK-based (Hybrid)

Working with a client in the pharma space building out their data platform to support research and lab analytics.

Looking for a Data Engineer with:

  • 6+ Years experience
  • Pharma / life sciences experience required (2 years at the very least)
  • Strong SQL and Python
  • Experience building ETL / ELT pipelines
  • Cloud data platforms (AWS / GCP / Azure)
  • Data warehousing and modelling experience
  • Power BI for reporting and stakeholder dashboards (Or similar)
  • Experience working with lab / scientific datasets
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