SENIOR DATA ENGINEER

Exciting opportunity to join a forward-thinking agile delivery team and help design, build, and optimise data platforms that enable powerful insights and better decision-making. Work with modern Azure data technologies, building scalable data pipelines and data warehouses that support advanced analytics and visualisation through Power BI and Tableau. This digital business consultancy is known for its innovative, out-of-the-box thinking and offers a flexible, work-hard-play-hard culture that encourages collaboration, creativity, and professional growth! Primary duties & responsibilities: • Designing and building data pipelines and ETL processes using Azure Data Factory and SQL. • Developing and maintaining data warehouses and data models (relational and star schema). • Integrating data from multiple sources and ensuring data quality, governance, and security. • Designing and implementing data integration solutions using Azure Synapse, Azure SQL, Data Lake and/or Databricks. • Monitoring and optimising data pipelines and integration processes. • Supporting and maintaining existing data environments and BI platforms. • Collaborating with stakeholders to understand business requirements and translate them into data solutions. • Supporting the development of Power BI or Tableau dashboards and reporting solutions. • Troubleshooting technical and data issues and improving overall data platform performance. Advantageous Qualifications: • Microsoft Azure Data Engineer certification. • Fabric certifications are advantageous. Experience & Skills Requirements: • 4-7 years’ experience in data engineering / BI development / data warehousing. • Strong understanding of data warehousing and data modelling concepts. • Azure Data Factory • Azure SQL / SQL Server • Azure Synapse Analytics • Azure Data Lake / Storage Accounts • Databricks (advantageous) • Strong SQL development skills using SSMS and Visual Studio. • Experience working in Agile environments.