Greggs Newcastle, On Tyne, England, United Kingdom
Greggs Newcastle, On Tyne, England, United Kingdom
This range is provided by Greggs. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.
Base pay range
We have a fantastic opportunity to join the growing Data Platform team at Greggs as a Senior Azure Data Platform 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.
Benefits
- 25 days (5 weeks) annual leave, pro-rated, increasing with service (in addition to bank holidays), plus 1 additional floating day
- Management Bonus Scheme which is worth up to 12.5% of your salary
- Profit share: We want everyone to share in the success of the business, so we distribute 10% of our profits to all our employees who have at least 6-month service, or more, each year
- Private Medical Insurance which is free for you and subsidised for your dependants
- Permanent Health Insurance which is a replacement income scheme
- You will automatically join our Greggs pension scheme which is a fantastic way to save for your retirement and allows you to benefit from employer contributions and tax advantages
- Defined contribution management pension scheme
- Death in service benefit which provides a lump-sum payment equal to 4 times your year’s salary
- Colleague discount, up to 50% off our own-produced products
- Share save schemes that let you buy discounted Greggs shares, by saving a set amount of money over a fixed time, to have an even bigger share of our profits
- Career progression and learning and development
- Employee Assistance Programme; A free, confidential helpline, offering advice and support with financial, relationship, work-related and wellbeing issues, 24 hours a day, 365 days a year. Including a mobile app providing a range of wellness content on physical, mental, social, and financial wellbeing
- Perks and savings, such as digital gift card discounts, online cashback, in-store and online coupons and lifestyle offers
- Cycle to Work scheme
- A company who cares about our communities; the environment and being a better business! Click here to read about The Greggs Pledge
- 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
About the role
- This is a 12 month Fixed Term Contract, working for the Data Platform team on the S4 Hana upgrade project
- We know that having a work-life balance is important, so we offer our colleagues as much flexibility as possible in line with the needs of their role
- The base location for this role is Newcastle Upon Tyne
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
About you
- Can demonstrate advanced knowledge of cloud services, preferably the broader Fabric or Databricks suite of products; or Azure Data Lake, Azure Data Factory, Azure Logic Apps, Azure Function Apps, 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
About Greggs
Here at Greggs, we love what we do, and we have fun! What makes Greggs so special is our culture – the way we are, the way we behave and the way we support each other. We're hard-working, but above all else we're family; and it doesn't matter who you are, where you're from or what your favourite bake is, we’d love you to join us! We want everyone to feel welcome at Greggs and our colleagues to be able to be themselves at work, whatever their background, preferences, or views.
Seniority level
Mid‑Senior level
Employment type
Full‑time
Job function
Information Technology
Industries
Food and Beverage Services
