Azure Data Engineer

Location: Remote, United Kingdom

Duration: 6 months

Rate: Up to £550 per day (DOE)

IR35 Status: Outside IR35

We are seeking a skilled Azure Data Engineer to join our team on a contract basis. This is a fully remote role based in the United Kingdom, offering a competitive daily rate of £550 per day, Outside IR35. The ideal candidate will possess extensive experience working with Microsoft Azure technologies, Databricks, Python, and PySpark to deliver cutting-edge data engineering solutions.
This position demands a data professional who can build robust, scalable data pipelines and transform complex data sets into actionable insights. You’ll work alongside cross-functional teams in a fast-paced environment, helping to optimise data systems and drive strategic initiatives through the power of data.

Key Responsibilities:

• Design, develop and maintain scalable data pipelines on Azure cloud platform.
• Utilise Azure Data Factory, Azure Data Lake, Databricks and Synapse Analytics to implement data solutions.
• Transform and cleanse large data sets using Python and PySpark.
• Collaborate with data scientists, analysts, and other engineers to support data solutions and integrations.
• Ensure data quality, consistency, and security throughout the pipeline.
• Optimise data processes for performance and cost-efficiency across Azure services.
• Maintain up-to-date documentation of systems and processes.

Required Experience and Skills:

• Strong experience in data engineering on the Microsoft Azure platform.
• Proficient in Databricks development for data transformations and analytics.
• Advanced programming skills in Python, with a solid understanding of PySpark.
• Experience with Azure Data Factory, Data Lake, and Synapse Analytics.
• Proven ability to work within Agile delivery frameworks.
• Excellent problem-solving skills and attention to detail.
• Strong communication skills, both written and verbal.

This is an exciting opportunity to contribute to a forward-thinking team delivering innovative data solutions at scale. If you have a passion for data engineering and are comfortable working independently in a remote setting, we'd love to hear from you.