Senior Data Engineer

• Design, develop and maintain ETL/ELT pipelines, ensuring data is reliable, accessible and well-governed.
• Support the development of a modern enterprise data platform, including the implementation of Medallion architecture.
• Work closely with Data Architects, Technical Architects and programme teams to deliver data engineering solutions.
• Develop data models and datasets to support business reporting, analytics and wider data requirements.
• Engage with stakeholders to understand requirements, troubleshoot data issues and deliver effective technical solutions.

I am currently recruiting for a Senior Data Engineers to join an organisation undergoing significant investment in its data and technology capabilities. This is an opportunity to join an established data engineering team working across several major transformation programmes, including the implementation of a new enterprise data platform, financial reporting improvements and the replacement of a legacy core system. I am looking for experienced Data Engineers who are technically strong, comfortable engaging with stakeholders and confident taking ownership of their work., * Strong experience in data engineering, with excellent SQL skills and a solid understanding of ETL/ELT processes and data pipelines.

• Experience working with Microsoft Azure, Microsoft Fabric, Informatica or equivalent platforms such as Snowflake.
• Good understanding of data modelling, Medallion architecture, Kimball methodologies and Slowly Changing Dimensions.
• Exposure to PySpark, Spark or similar data processing technologies would be advantageous.
• Strong stakeholder management and communication skills, with the ability to work independently, take ownership and collaborate across multidisciplinary teams., * Amazon Web Services (AWS)
• Cloud Services & Infrastructure
• Communication Skills
• Data Pipeline Development
• Data Warehousing
• ETL
• Microsoft Azure
• Python Programming
• SQL Databases
• Stakeholder Management