Data Engineer, Data Engineer Data Analyst ETL Developer BI Developer Big Data Engineer Analytics Engineer Data Platform Engineer Cloud Data Engineer Azure Data Engineer Data Integration Specialist DataOps Engineer Data Pipeline Engineer
Design and build a cutting-edge Azure data platform from the ground up.
Collaborate across teams to deliver insights that drive key decisions.
Azure Data Platform is at the heart of our client's strategy, creating opportunities for impactful work across the organisation.
• Develop, maintain, and optimise data pipelines and workflows.
• Collaborate with stakeholders to gather and analyse data requirements.
• Ensure data accuracy, security, and compliance with industry standards.
• Integrate data from multiple sources to create unified datasets.
• Implement and manage data storage solutions.
• Monitor and troubleshoot data systems to ensure smooth operations.
• Provide technical guidance on data engineering best practices.
• Contribute to the development of data strategies and architectures.
A successful Data Engineer should have:
• Experience with Azure Data Factory, Azure Synapse, Azure SQL, or Azure Data Lake.
• Hands-on knowledge of the ETL process and working with large datasets.
• Understanding of dimensional modelling and data warehousing principles.
• Familiarity with CI/CD pipelines or monitoring tools for data processes.
• Solid skills in SQL and basic knowledge of Python scripting.
• Exposure to Microsoft Fabric (a plus, but not essential)
