Data Engineer / QA - Pharma Domain

Data Engineer / QA - Pharma Domain

Posted 5 days ago by Gazelle Global

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Negotiable
Undetermined
Hybrid
Greater London, England, United Kingdom
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Application Programming Interface (API) Automation Azure Databricks Bank Reconciliations Continuous Integration and Continuous Delivery Databricks Data Quality Extensible Markup Language (XML) Extract Transform Load (ETL) Github Microsoft Excel Pandas (Python Package) Python (Programming Language) Reconciliation SQL (Programming Language) Verification And Validation

Summary: This role is for a Data Engineer on a contract basis, focusing on building and scaling QA/testing capabilities across complex ETL pipelines in a modern data environment. The position involves owning the automation strategy, enhancing data reliability, and collaborating with engineering teams on critical reporting and API outputs. The contract duration is between 6 to 12 months, with a hybrid working arrangement based in Stevenage.

Key Responsibilities:

  • Building scalable ETL/data validation frameworks using Python & Pytest
  • Writing advanced SQL checks for reconciliation, integrity & transformation testing
  • Validating Excel/XML outputs using Pandas, OpenPyXL, lxml & xmlschema
  • Automating API testing with Postman & Newman
  • Integrating testing into CI/CD pipelines using GitHub Actions
  • Working within Databricks and modern cloud-based data environments
  • Driving QA standards, mentoring others & improving engineering quality

Key Skills:

  • Strong ETL / ELT testing experience
  • Advanced SQL & Python automation skills
  • Experience across APIs, XML, Excel & data quality validation
  • CI/CD knowledge with GitHub Actions
  • Exposure to Databricks or similar data platforms

Salary (Rate): undetermined

City: Stevenage

Country: United Kingdom

Working Arrangements: hybrid

IR35 Status: undetermined

Seniority Level: undetermined

Industry: IT

Detailed Description From Employer:

Data Engineer | Contract | Hybrid | Stevenage 6-12 month contract | Hybrid working | Excellent day rate

Greenfield opportunity for a hands-on Data Engineer to build and scale QA/testing capability across complex ETL pipelines in a modern data environment. You’ll own the automation strategy, improve data reliability, and work closely with engineering teams delivering business-critical reporting and API outputs.

What you’ll be doing

  • Building scalable ETL/data validation frameworks using Python & Pytest
  • Writing advanced SQL checks for reconciliation, integrity & transformation testing
  • Validating Excel/XML outputs using Pandas, OpenPyXL, lxml & xmlschema
  • Automating API testing with Postman & Newman
  • Integrating testing into CI/CD pipelines using GitHub Actions
  • Working within Databricks and modern cloud-based data environments
  • Driving QA standards, mentoring others & improving engineering quality

What’s needed

  • Strong ETL / ELT testing experience
  • Advanced SQL & Python automation skills
  • Experience across APIs, XML, Excel & data quality validation
  • CI/CD knowledge with GitHub Actions
  • Exposure to Databricks or similar data platforms

For more information and direct contact with me, please send me an email and call only if required. I will be sure to check responses daily and shortlist the best candidates; if you are shortlisted, you will hear from me.

Robert@gazellegc.com

+44 7506151904

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