Informatica Data Engineer

Informatica Data Engineer

Posted 2 days ago by Qualient Technology Solutions UK Limited

Negotiable
Inside
Hybrid
London, UK

Summary: The role is for a Senior Data Engineer specializing in Informatica, based in London, requiring SC clearance. The position is contract-based and classified as inside IR35, with a hybrid working arrangement of two days a week in the office. The ideal candidate will have hands-on experience with Informatica and a strong background in SQL and data engineering, preferably in Azure environments.

Key Responsibilities:

  • Hands-on Informatica experience (IICS/ETL design and support) - this is critical
  • SC clearance (or very close to obtaining it)
  • Strong SQL/data engineering background, ideally in Azure-based environments

Key Skills:

  • Experience with Microsoft Fabric (eg Data Factory, Synapse, One Lake)
  • Exposure to financial services/FinTech environments
  • Familiarity with Azure DevOps and/or GitHub
  • Experience with testing practices for data pipelines (unit testing, QA)
  • Broader Azure data services (Azure SQL, Managed Instance, Data Lake)

Salary (Rate): undetermined

City: London

Country: UK

Working Arrangements: hybrid

IR35 Status: inside IR35

Seniority Level: undetermined

Industry: IT

Detailed Description From Employer:

We are Looking for Informatica Senior Data Engineer Based in London(2 days a week) - Contract (Inside IR35) with SC Cleared ( Active)

Job Description:

  • Hands-on Informatica experience (IICS/ETL design and support) - this is critical
  • SC clearance (or very close to obtaining it)
  • Strong SQL/data engineering background, ideally in Azure-based environments

Nice to have/optional skills (not essential, but beneficial):

  • Experience with Microsoft Fabric (eg Data Factory, Synapse, One Lake)
  • Exposure to financial services/FinTech environments
  • Familiarity with Azure DevOps and/or GitHub
  • Experience with testing practices for data pipelines (unit testing, QA)
  • Broader Azure data services (Azure SQL, Managed Instance, Data Lake)