We are recruiting a talented and driven Data Engineer. You, as the successful Data Engineer, will have the ability to collaborate with a range of stakeholders across the business in problem solving and project delivery, as well as demonstrate verbal and written communication skills to effectively consult, negotiate, and engage with internal and external stakeholders of all levels. 

Reporting to the Data Engineering Lead, this role provides technical support for the BI & analytics environment. This includes assisting with the design, development and maintenance of the Data Lake, Delta Lake, the Data Warehouses, reporting datasets and all data and analytical requirements (including dashboards and Data Science modelling) of the Inchcape Group. 

The primary role will be to work with business users and analysts to design and develop effective technical solutions for our organisation’s data and information needs. Along with this the role is also responsible for the monitoring and maintenance of the analytics environment and will be required to support other specialists within the team. 


  • Design and build robust scalable data pipelines and data migration using the Azure Stack 
  • Work closely with the Architects to develop data pipelines on Azure Data Platforms 
  • Do data wrangling, manipulation, cleansing and blending from multiple data sources and exposure to various data types and storage paradigms, including structured and unstructured data. 
  • Prepare raw data from multiple sources and apply modelling techniques consistent with existing methodologies. 
  • Provision and configure effective Azure environments including resource creation and maintenance, platform security, and database management services. 
  • Conduct issue triage and investigation across the BI / Analytics stack. 
  • Develop ETL bug fixes using Azure Synapse Analytics, Azure Databricks, Azure Data Factory, Azure Data Lake v2 and Azure Purview. 
  • Update and maintain the Quality Assurance framework to ensure data quality, integrity, and lineage across the existing BI solutions. 
  • Undertake unit testing of all fix developments. 
  • Utilise Azure DevOps for CI/CD across environment and platform deployments. 


  • Hands on experience in developing data pipelines using Azure Data Factory, Azure Logic Apps, Azure Functions, Azure Synapse, Azure Data Lake 
  • Design and develop the logic for end to end data pipeline including performance optimization 
  • ETL processing using Azure Databricks and Delta Lake including optimization 
  • Experience working with structured and unstructured data 
  • Design and develop dashboards using Power BI