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About AbbVie

AbbVie’s mission is to discover and deliver innovative medicines that solve serious health issues today and address the medical challenges of tomorrow. We strive to have a remarkable impact on people’s lives across several key therapeutic areas: immunology, oncology, neuroscience, eye care, virology, women’s health and gastroenterology, in addition to products and services across its Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at Follow @abbvie on Twitter, Facebook, Instagram, YouTube and LinkedIn.

Data Engineer

Maidenhead, United Kingdom Req ID 2207254 Category Information Technology Division AbbVie

At AbbVie, we’re looking for a Data Engineer to plan, develop, build, test, and maintain the UK Data Model to achieve a high quality and scalable data model that anticipates the business needs, delivers the needs of commercial initiates, and supports our ambition of Winning with Data.

As a Data Engineer, you will be working in a UK local team with an overarching global team and take part in the harmonization of information aligned with the needs of business.  You will communicate a vision and strategy for innovative data solutions, engaging with the business.

Key Responsibilities:

  • Oversee projects from initial engagement and consultant, to end point of data transformation and visualization
  • Engaging with a high-performing local team to manage project delivery  
  • Understanding capability of data modelling and analytics tools
  • Working knowledge of PySpark, Palantir software and Python programming language
  • Focuses on end user and customer centricity
  • Deliver on ratification of requirements against deliverables, and able to keep pace of the market (new trends and ways of working)
  • Technical experience and strong development skills – experience using Python, PySpark, SQL, Big Data experience (Palantir preferred)
  • Knowledge of data architecture
  • Excellent communication skills
  • Team player
  • Innovative and creative mindset
Travel: No
Job Type: Experienced
Schedule: Full-time

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