> Markdown version of [/jobs/ext/4631035-senior-azure-data-engineer](https://www.wearedevelopers.com/jobs/ext/4631035-senior-azure-data-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Azure Data Engineer - **Company:** Greggs plc - **Location:** Boldon Colliery, United Kingdom - **Experience:** Expert - **Salary:** £65,000 - **Contract:** Permanent contract - **Skills:** Automation of Tests, Microsoft Azure, Information Engineering, Data Infrastructure, Extract Transform Load (ETL), Data Security, Data Systems, Python (Programming Language), Machine Learning, SQL Azure, Raw Data, Cloud Services, DataOps, Azure Data Lake, Data Ingestion, Azure Data Factory, Data Lakes, AI Platforms, Google Cloud Functions, Data Pipelines, Databricks - **Published:** November 8, 2026 - **Apply:** https://www.apply4u.co.uk/jobs/senior-azure-data-engineer/55404105 ## About the Role Can demonstrate advanced knowledge of cloud services, preferably focussing on Databricks; ideally working with Azure Data Lake, Azure Data Factory, Azure Logic Apps, Azure Function Apps and Fabric, alongside a skillset incorporating data modelling techniques and business data requirement comprehension, documentation and communication Are able to work efficiently in a dynamic environment, with a focus on detail and accuracy and have a keenness to problem solve Hold a steadfast commitment to data security and ability to guide others in this area Are keen to understand the commercial drivers of the business and can build data solutions to drive growth ## Description Vacancy Information We have a fantastic opportunity to join the growing Data Platform team at Greggs as a Senior Azure Data Engineer. You will be part of the team responsible for ensuring high quality data is sourced and curated in our Azure cloud platform and to ensure that this is a foundation for growth for all data, analytic and AI services. Your involvement will span the entire data lifecycle: from orchestrating data ingestion into our Azure Data Lake, designing and developing sophisticated data models for analytics, to deploying Azure Logic Apps and Function Apps for process automation. With tools like Databricks, Data Factory, Azure SQL Server, and Python you will help formulate a data driven platform and develop data pipelines that convert raw data into actionable insights in line with our strategy. A logical mind and appetite for problem solving is key to this role. As a senior engineer you will help to mentor your colleagues, providing technical guidance and oversight, championing efficient ways of working, and collaborating closely with stakeholders to prioritise activity. A knowledge and enthusiasm for machine learning and how that could enhance the data offering at Greggs would be very advantageous. We can offer you: 25 days (5 weeks) annual leave, pro-rated, increasing with service (in addition to bank holidays), plus 1 additional floating day, Colleague Networks - internal groups where colleagues and their allies can share their own experiences, offer feedback on the way we do things at Greggs, and provide support to one another, What you'll do Guide and support your team members, encouraging and supporting a collaborative and productive work environment Develop and implement data ingestion solutions on the Azure platform, ensuring scalability, reliability, and performance. Leveraging technologies such as Azure Data Factory, Databricks, Delta Lake, and Python Design and maintain robust ETL/ELT processes to integrate data from various sources into Azure data services Help to implement DataOps practices to streamline and automate the data lifecycle, ensuring faster delivery and higher quality of data products Design and manage CI/CD pipelines for data workflows to facilitate automated testing and deployment Ensure data quality, security, and compliance with industry standards and best practices Work closely with cross-functional teams, including data scientists, analysts, and business stakeholders, to understand and address their data needs Stay current with emerging trends and technologies in the Azure ecosystem, other technologies/methods, and data engineering, helping to drive continuous improvement within the team