Azure Data Engineer (Contract – Day Rate) - Mid‑Level | Azure | Data Lakehouse | ETL Location: Central London Day Rate: £(Apply online only) 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 challengeKey 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 perspectivesNice 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: (url removed)