Data Engineer

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.