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)
