Data Engineer

The Data Engineer will be responsible for designing, building, and maintaining the data architecture and infrastructure necessary for effective data processing and analysis. This role involves collaborating with data analysts, and other stakeholders to ensure that data is accessible, reliable, and optimised for use in various applications. The candidate will be required to deliver to all stages of the data engineering process – data ingestion, transformation, data modelling and data warehousing, and build self-service data products. Key responsibilities: Work closely with end-users and Data Analysts to understand the business and their data requirements. Carry out ad hoc data analysis and transform data using Databricks, MS Fabric, or Synapse Analytics. Building meta-data driven data ingestion patterns using Azure Data Factory and Databricks, or MS Fabric, or Synapse Build and maintain the on-premises SQL Data Warehouse. Build and maintain business focused data products. Build and maintain Azure Analysis Services cubes. Work with Architecture and Engineering teams to deliver projects and ensure that supporting code and infrastructure follows best practices outlined by these teams. Collaborate with Data Engineering Lead, Data Domain Lead and Architect to drive group engineering context within the team continuously. Develop and promote exceptional engineering documentation and practices. Actively engage with the business units engineering community to promote knowledge sharing. Collaborate with squad leader, Head of, engineers, and architects to ensure cohesive strategies and practices within the team. Core skills and knowledge: Proven engineering expertise (7- 10 years) Experience with Azure data services such as Data Factory, Databricks, MS Fabric, Synapse Analytics, and ADLS Gen2 Experience with source control, CI/CD pipelines, and Azure DevOps Ability to design and deploy Infrastructure‑as‑Code (IaC) pipelines Familiarity with modern data architectures including Lakehouse and Medallion architecture Extensive hands-on experience with SQL Server and SSIS Strong understanding of data warehouse modelling, especially Star and Snowflake schemas