SQL Data Engineer


Job description

  • Design and build secure, scalable & reliable data pipelines (ETLs) for our SQL Server data warehouse
  • Evolve data models & schema design of our Data Warehouse to support self-service needs
  • Develop ETL performance monitoring and data quality treatments
  • Collaborate with End User teams to analyse needs for development
  • Establish strong and trusted relationships with your internal customers, support ad-hoc queries and troubleshoot live issues
  • Proactively identify and propose enhancements to continuously improve performance and resilience throughout the BI stack
  • Take ownership of the documentation portfolio for the BI Stack
  • Work with the team to set and maintain standards and development practices;
  • Collaborate with Infrastructure, Architecture and Security teams to deliver/manage optimal, secure and compliant infrastructure for the team
  • Be a keen advocate of quality and continuous improvement


  • Highly Skilled in T-SQL / Procedural SQL, confident with Dynamic SQL
  • Highly skilled in the use of the Microsoft SQL Server, Visual Studio and SSIS
  • Experience of end-to-end Data Warehousing design and development on Kimble methodologies
  • Experience working with Azure Data Lake Storage, and Azure technologies (e.g. Synapse, Databricks) beneficial
  • Experience of D365 Finance & Operations
  • Data Management and Entities preferred
  • Understanding of Retail and/or Finance terminologies and metrics beneficial
  • Confident working with End Users to translate business requirements into technical development stories
  • Strong analytical and problem solving skills, the ability to work in a fast moving operational environment with a positive attitude
  • Excellent level of English, both written and spoken

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