Staff Data Engineer (Azure)

Staff Data Engineer (Azure)

Posted 1 week ago by Arrows

£500 Per day
Outside
Hybrid
London Area, United Kingdom

Summary: The Staff Data Engineer (Azure) role involves hands-on data migration, pipeline rebuilds, and enhancing gold-layer datasets, requiring collaboration with stakeholders to maintain data quality. The position is a 6-month contract based in London, with a hybrid working arrangement. Candidates must possess significant experience in data engineering and relevant technologies. Immediate start is available with a streamlined interview process.

Key Responsibilities:

  • Data migration and pipeline rebuilds
  • Improving gold-layer datasets
  • Ensuring data quality and consistency
  • End-to-end pipeline ownership
  • Collaboration with stakeholders

Key Skills:

  • 6+ years of Data Engineering experience
  • Strong SQL skills (complex queries, optimisation, indexing)
  • Experience with Azure (ADF + cloud data platform)
  • ETL / ELT and dimensional modelling expertise
  • Experience migrating legacy data to cloud environments
  • Fivetran experience
  • Git / DevOps knowledge

Salary (Rate): £500 daily

City: London

Country: United Kingdom

Working Arrangements: hybrid

IR35 Status: outside IR35

Seniority Level: Mid-Level

Industry: IT

Detailed Description From Employer:

New Role: Staff Data Engineer (Azure) £400 - £500 per day Outside IR35 6 Month Contract Hybrid (UK-based) – 2 days/week in London Immediate Start 1-2 Stage Interview Process

Must haves:

  • 6+ years’ Data Engineering experience
  • Strong SQL (complex queries, optimisation, indexing)
  • Azure (ADF + cloud data platform experience)
  • ETL / ELT and dimensional modelling
  • Experience migrating legacy data into modern cloud environments
  • FiveTran experience
  • End-to-end pipeline ownership
  • Git / DevOps

This is a hands-on role focused on data migration, pipeline rebuilds, and improving gold-layer datasets , working closely with stakeholders to ensure data quality and consistency.

UK ONLY – Must have recent Data Engineering experience.