£350 Per day
Outside
Hybrid
City of London, London
Summary: The Azure Data Engineer role involves joining a consultancy to support a significant data transformation project for a client in Central London. The position is a 6-month contract with a strong likelihood of extension, requiring the engineer to work on-site two days a week. The ideal candidate will have extensive experience in Azure data solutions and will be responsible for designing and maintaining data pipelines. This role is classified as outside IR35, offering a competitive daily rate.
Key Responsibilities:
- 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).
Key Skills:
- 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.
Salary (Rate): £350/day
City: London
Country: United Kingdom
Working Arrangements: hybrid
IR35 Status: outside IR35
Seniority Level: Mid-Level
Industry: IT
Azure Data Engineer
Rate - up to £350/day Outside IR35
Location - 2 days a week onsite in Central London
Duration - 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