Contract Data Engineer (Azure) - Agile IT Team

Opus Recruitment Solutions

London, United Kingdom

Last month

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Posted: 4 Apr 2026 (Last month)

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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)

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