Contract Data Engineer (Azure) - Agile IT Team

• 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, * 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)

• Strong hands on Azure data engineering experience (mid level, but technically confident)
• Proven use of Azure for ETL (eg 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 preferred, 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

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.