Azure Data Engineer — Scalable Pipelines (ADF, Databricks)

Company: Involved Solutions
Apply for the Azure Data Engineer — Scalable Pipelines (ADF, Databricks)
Location: London
Job Description:

Azure Data EngineerRate – up to £350/day Outside IR35Location – 2 days a week onsite in Central LondonDuration – 6 Months + Likely Extension

We are working with a well-established consultancy supporting a high-impact data transformation programme for an end client based in Central London. They are seeking an experienced Azure Data Engineer to join the project on an initial 6-month contract, with strong potential for extension.

Key Responsibilities – Azure Data Engineer:

  • Design, build and maintain scalable and secure data pipelines on the Azure platform.
  • Develop and deploy data ingestion processes using Azure Data Factory, Databricks (PySpark), and Azure Synapse Analytics.
  • Optimise ETL/ELT processes to improve performance, reliability and efficiency.
  • Integrate multiple data sources including Azure Data Lake (Gen2), SQL-based systems and APIs.
  • Collaborate with Data Architects, Analysts, and stakeholders to define data models and ensure best practices in data engineering.
  • Ensure compliance with data governance and security policies (incl. GDPR and ISO standards).

Required Skills & Experience – Azure Data Engineer:

  • Proven commercial experience as a Data Engineer delivering enterprise-scale solutions in Azure
  • Azure Data Factory
  • Azure Databricks (PySpark)
  • SQL & Python
  • Understanding of CI/CD in a data environment, ideally with tools like Azure DevOps.
  • Experience working within consultancy or client-facing projects is highly desirable.

Interested?Apply now with your CV or reach out to discuss the opportunity further. This is a highly sought-after role for a consultant who wants to contribute to a major Azure-led data transformation programme.

Data Engineer, Azure Data Engineer, Senior Data Engineer

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Posted: May 28th, 2026