Opus Recruitment Solutions LtdLondon

Contract Data Engineer (Azure) - Agile IT Team

Project-Based

Description

**Azure Data Engineer (Contract

  • Day Rate) - Mid-Level | Azure | Data Lakehouse | ETL**Location: Central London Day Rate: £375 - 425 per day (Outside IR35) Working Patterns: Hybrid, London Interviews: 2 stage process

Opus are supporting a global insurance organisation seeking an Azure Data Engineering contractor to join its core IT function on a day-rate basis. This role is part of a wider data platform capability build and offers the opportunity to bring a fresh, pragmatic perspective into an established Azure environment.The team is currently top-heavy and are deliberately looking to strengthen the mid-level layer - someone highly technical, hands-on, and confident shaping how data is ingested, optimised and structured across Azure. The Role:

  • Join a central IT delivery team, reporting into the agile delivery team.
  • Act as a replacement within the existing data engineering function
  • Focus on incoming data design, Azure optimisation, and ETL best practice
  • Work closely with senior engineers while contributing independent technical thought and challenge

Key Responsibilities:

  • Design, build and maintain ETL pipelines in Azure for structured and semi-structured data
  • Optimise data ingestion patterns feeding into a Data Lakehouse architecture
  • Improve efficiency, performance and scalability across Azure services
  • Support platform-level decisions around how Azure is handled from a data perspective
  • Collaborate within Agile delivery cycles (Scrum / Kanban environments)

Required Experience:

  • Strong hands-on Azure data engineering experience (mid-level, but technically confident)
  • Proven use of Azure for ETL (e.g. Azure Synapse, Data Factory, or similar tooling)
  • Data Lakehouse experience is a must-have
  • Solid SQL and data modelling fundamentals
  • Experience working within an enterprise IT team (Lloyd's & London (Re)insurance, or Financial Services experience is preffered, but not essential)
  • Comfortable challenging existing approaches and offering fresh technical perspectives

Nice to Have

  • Exposure to Databricks, PySpark or Python-based data processing
  • Experience optimising legacy or sub-optimal Azure implementations
  • Familiarity with Agile delivery frameworks

Please reach out to Adam Akhtar at Opus Recruitment for futher information - E:

Skills

PythonData EngineeringAzureScrumSQLAgileETLKanbanDatabricks

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