Senior Azure Data Engineer

Greggs
Newcastle upon Tyne, England
6 months ago
Applications closed

Related Jobs

View all jobs

Senior Solutions Architect (Strategic Account - Energy)

Databricks London, United Kingdom

Data Platform Solutions Architect (Professional Services)

Databricks London, United Kingdom

Data Platform Solutions Architect (Professional Services) - Emerging Enterprise & DNB

Databricks London, United Kingdom

Specialist Solutions Architect - DE/DWH

Databricks London, United Kingdom

Resident Solutions Architect (Professional Services)

Databricks London, United Kingdom

Senior Cloud Engineer

Faculty London, United Kingdom
Hybrid
Posted
23 Oct 2025 (6 months ago)

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


#J-18808-Ljbffr

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Where to Advertise Machine Learning Jobs in the UK (2026 Guide)

Advertising machine learning jobs in the UK requires a different approach to most technical hiring. The candidate pool is small, highly specialised and in demand across AI labs, financial services, healthcare, autonomous systems and consumer technology simultaneously. Machine learning engineers and researchers move between roles through professional networks, conference communities and specialist platforms — not general job boards where ML roles compete with unrelated software engineering positions for the same audience. This guide, published by MachineLearningJobs.co.uk, covers where to advertise machine learning roles in the UK in 2026, how the main platforms compare, what employers should expect to pay, and what the data says about hiring across different role types.

New Machine Learning Employers to Watch in 2026: UK and Global Companies Driving ML Innovation

Machine learning (ML) has transitioned from a specialised field into a core business capability. In 2026, organisations across healthcare, finance, robotics, autonomous systems, natural language processing, and analytics are expanding their machine learning teams to build scalable intelligent products and services. For professionals exploring opportunities on www.MachineLearningJobs.co.uk , understanding the companies that are scaling, winning investment, or securing high‑impact contracts is crucial. This article highlights the new and high‑growth machine learning employers to watch in 2026, focusing on UK innovators, international firms with significant UK presence, and global platforms investing in machine learning talent locally.

How Many Machine Learning Tools Do You Need to Know to Get a Machine Learning Job?

Machine learning is one of the most exciting and rapidly growing areas of tech. But for job seekers it can also feel like a maze of tools, frameworks and platforms. One job advert wants TensorFlow and Keras. Another mentions PyTorch, scikit-learn and Spark. A third lists Mlflow, Docker, Kubernetes and more. With so many names out there, it’s easy to fall into the trap of thinking you must learn everything just to be competitive. Here’s the honest truth most machine learning hiring managers won’t say out loud: 👉 They don’t hire you because you know every tool. They hire you because you can solve real problems with the tools you know. Tools are important — no doubt — but context, judgement and outcomes matter far more. So how many machine learning tools do you actually need to know to get a job? For most job seekers, the real number is far smaller than you think — and more logically grouped. This guide breaks down exactly what employers expect, which tools are core, which are role-specific, and how to structure your learning for real career results.