Data Engineer – On-site Pipelines, Nottingham

Boots UK

Nottingham

On-site

GBP 60,000 - 85,000

Full time

2 days ago
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Benefits offered by this job

Retirement plan
Employee discounts
Parental leave pay
Counselling service
Flexible benefits

Job summary

Boots UK is seeking a Data Engineer in Nottingham to join our on-site team. You will build and maintain data pipelines, develop a self-serve data platform, and collaborate with the Lead Data Engineer in a multidisciplinary squad.

Requirements include 2+ years in data engineering, SQL and Python, and experience with Azure Databricks and Spark. This permanent, on-site role supports Boots’ data-driven decision making across retail and pharmacy domains.

Qualifications

  • 2+ years 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.

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

Skills

SQL
Python
Data pipelines
Data warehousing
Dimensional modeling

Tools

Azure
Databricks
Spark

Job description

Boots UK is seeking a Data Engineer in Nottingham to join our on-site team. You will build and maintain data pipelines, develop a self-serve data platform, and collaborate with the Lead Data Engineer in a multidisciplinary squad.

Requirements include 2+ years in data engineering, SQL and Python, and experience with Azure Databricks and Spark. This permanent, on-site role supports Boots’ data-driven decision making across retail and pharmacy domains.

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