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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.
Job Responsibility
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
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
Nice to 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
What we offer
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