Data Engineer in Nottingham

Data Engineer in Nottingham

Nottingham Full-Time No working from home possible
Boots

Role:Data Engineer
Contract: Permanent
Location: Nottingham, Beeston - On-site
Recruitment Partner: Kershia Broughton
Join Boots as a Data Engineer in Nottingham!
Are you ready to make a difference? At Boots, we’re dedicated to building a brilliant environment for our people, empowering you to deliver care, confidence, and connection in communities across the UK and Ireland.

The Data BI and Integration team develops and manages our self-serve data platform for various business areas. We organise our data engineering and data products around specific business domains. These data domains are extensive, covering areas such as Pharmacy, Supply Chain, Digital, Products, Opticians, and more.

What you’ll be doing:

  • Build and maintain data pipelines that support business decisions.

  • Work within a multidisciplinary squad focused on domain- and project-delivery.

  • Develop and manage a self-serve data platform for various business areas.

  • Collaborate with the Lead Data Engineer on existing data pipelines.

Key responsibilities:

  • Build and maintain data pipelines that support business decisions.

  • Work within a multidisciplinary squad focused on domain- and project-delivery.

  • Develop and manage a self-serve data platform for various business areas, including Pharmacy, Supply Chain, Digital, Products, and Opticians.

  • Collaborate with the Lead Data Engineer on existing data pipelines.

What you’ll need to have (our must-haves):

  • 2+ years of hands-on data engineering experience in analytics and/or data science environments.

  • Strong skills in SQL and Python.

  • Experience with large-scale data solutions on Microsoft Azure and Databricks.

  • Experience with Spark or distributed compute frameworks.

  • Proven experience in building and maintaining data pipelines and warehousing solutions.

  • Knowledge of dimensional modeling is preferred.

It would be great if you also have:

  • Exposure to BI/MI, ML, AI, or data engineering automation.

  • Understanding of modern data engineering principles and practices.

  • Experience working in agile delivery teams and comfortable with end-to-end ownership of work.

  • Knowledge of Retail or Pharmacy data domains.

Where your brilliance can take you:
At Boots, we believe in your potential. You’ll have the opportunity to learn something new every day and use your voice to shape progress. With supportive managers and a culture that champions inclusion, you’ll be empowered to take ownership of your development and grow your career.

Rewards designed for you:

  • Boots Retirement Savings Plan (up to 6% company contribution)

  • Generous employee discounts for you and a family member

  • Enhanced maternity/paternity/adoption leave pay

  • Access to free, 24/7 counselling and support through TELUS Health, our Employee Assistance Programme.

  • Flexible benefits scheme including options to buy additional holiday, discounted gym membership, life assurance, activity passes, and much more.

There’s lots more in our benefits and discounts, MyBoosts – there to give you that little lift in your everyday. Find out more at http://boots.jobs/rewards. Exclusions may apply; eligible roles only.

A bit about us:
At Boots, we're proud to be an equal opportunity employer, creating a place where everyone feels welcome, supported, and free to be themselves. We believe that when our people feel valued and included, they thrive, so we're committed to creating a brilliant Boots for our people so they can make a difference for our customers and colleagues every time.

What’s next?
If you apply, our team will be in touch to let you know the outcome of your application or to arrange next steps. Where a role is advertised as full-time, we are open to discussing part-time and job share options. If you require additional support as part of the application and interview process, we are happy to provide reasonable adjustments to help you be at your best.

We hope to hear from you soon.
Be brilliant with Boots.


Keywords
SQL, Python, Databricks
Boots

Contact Details:

Boots Recruitment Team