Data Engineer - Azure Data Platform

Our client is an established technology organisation focused on delivering robust data solutions that drive business value. They work with modern cloud-based platforms and prioritise collaboration, clear communication and technical excellence. The company supports professional growth through challenging projects and a team-oriented environment where engineers can develop their skills across the full data engineering lifecycle.

• 6+ years of experience as a Data Engineer.
• Strong hands-on experience with Azure Data Factory.
• Proven experience working with Databricks and PySpark.
• Strong SQL skills with experience in query optimisation.
• Experience with SQL Server Integration Services (SSIS).
• Solid understanding of data warehousing concepts, including Medallion architecture and Fact-Dimension modelling.
• Excellent communication and collaboration skills.
• Self-motivated with a proactive approach to problem-solving.
• Knowledge of the supply chain domain (desirable).
• Team player with a collaborative mindset (desirable).

• Design and build scalable data pipelines using Azure Data Factory and Databricks.
• Work with cutting-edge Azure cloud technologies and modern data architectures.
• Collaborate with cross-functional teams on impactful data warehouse solutions.
• Build and maintain data solutions using Databricks and PySpark.
• Develop and optimise SQL queries for data transformation and analysis.
• Implement SSIS packages for data integration workflows.
• Apply data warehousing concepts including Medallion architecture and Fact-Dimension modelling.
• Maintain and improve existing data infrastructure and processes.
• Document technical solutions and share knowledge with team members.