Azure Data Engineer

Greggs

Greggs, a leading retailer in the food-on-the-go sector, is seeking an Azure Data Engineer to support its growing data platform team. With plans to expand its stores and digital channels, data and AI are crucial in driving customer engagement and business growth. This role will involve handling the data lifecycle and enabling actionable insights through sophisticated data modelling and deployment of Azure services.

In this role you can expect to have the responsibilities:

• Design and maintain ETL/ELT processes for data integration into Azure services.
• Implement DataOps practices to enhance data lifecycle efficiency.
• Manage CI/CD pipelines for automated data workflow deployment.
• Ensure compliance with data quality, security, and industry standards.
• Collaborate with cross-functional teams to meet data needs.
• Promote continuous improvement by staying updated with Azure and data engineering trends.

This role comes with the following benefits:

• 25 days annual leave plus bank holidays, with options for more.
• Management Bonus Scheme and profit sharing.
• Private Medical Insurance.
• Greggs pension scheme with employer contributions.
• Up to 50% colleague discount on products.
• Death in service benefit.
• Share save schemes.
• Career progression and learning opportunities.

This role requires you to have:

• Knowledge of cloud services like Azure Data Lake and Data Factory.
• Detail-oriented problem-solving skills in dynamic environments.
• Commitment to data security and guiding others.

You would benefit from having:

• Experience with Databricks suite of products.
• Understanding of Azure Logic Apps and Function Apps.
• Business acumen to build growth-driven data solutions.

Greggs fosters an inclusive culture welcoming diverse backgrounds, preferences, and views. The company emphasizes hard work fused with a sense of family and support.