Data Engineer

Boots UK
Nottingham, UK
about 1 month ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Experience required
2 years minimum
Working hours
Regular working hours
Job source

Tech stack

Artificial Intelligence Microsoft Azure Big Data Information Engineering Dimensional Modeling Python (Programming Language) SQL Databases Apache Spark Data Pipelines Databricks

Job description

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., * 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.

Requirements

  • 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.

Benefits & conditions

Pulled from the full job description

  • Employee discount
  • Employee assistance programme
  • Discounted gym membership, * 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.

About the company

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., 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.

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on uk.indeed.com

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