Senior Data Engineer

4 weeks ago


London, Greater London, United Kingdom MSL McKesson Strategic Services Limited Full time

At MSL McKesson Strategic Services Limited, we are seeking a highly skilled Senior Data Engineer to join our team. The successful candidate will be responsible for implementing data strategy, design, and execution to support business functions, improving data management and analytical insights.

Job Purpose:

The US generic pharmaceutical sector is highly competitive, requiring constant adaptation across the supply chain. This dynamic environment involves multiple channels and stakeholders, including patients, prescription dispensers, wholesale distributors, and manufacturers, all influenced by payers, regulatory bodies, and laws.

Key Responsibilities:

  • Design and implement data ingestion and transformation processes using multiple technologies (SQL, Snowflake, DBT / Astronomer, APIs etc); leveraging agile methodologies and a modern approach to data warehousing
  • Support strategic initiatives; design, build and support data solutions conducive to business insights, reporting and analytics
  • Lead the development of data solutions to expose data to external sources via APIs, providing architectural oversight, and hands-on delivery and support
  • Collaborate with internal and external stakeholders to meet the demand for new or enhanced data sets

Requirements:

  • Bachelor's degree level or above
  • 5+ years' experience in a data centric function
  • Experience in the healthcare field, preferably in generic pharmaceuticals (sales, purchasing or distribution) preferred, though not required

Expected Data Engineering Capabilities:

  • Solid background in data engineering; is able to lead the development and configuration of tools to automate data ingestion, transformation, testing and database administration tasks
  • Capable of developing and implementing master data management processes; is able to scope and develop data management structures (including relevant metadata) to support consistency of information retrieval, combination, analysis, pattern recognition and interpretation, throughout the organisation
  • Comfortable assessing and managing risk; able to assess issues that might prevent the organisation from making maximum use of its information assets, and comfortable providing expert advice and guidance to enable the organisation to get maximum value from its data assets

Knowledge/Skills:

  • High level of expertise and experience in DBT, SQL and Python
  • Experience of working with fully automated CI/CD processes
  • Experience of automated testing in a data focused environment
  • Strong data warehousing experience (e.g. Kimball / Inmon / data lakehouse approaches)
  • Experience with database technologies and concepts (Snowflake or other cloud based data warehouses an advantage)
  • Experience with conforming data from multiple data sources
  • Hands on experience of a variety of ETL technologies and frameworks (e.g. DBT, Alteryx, Spark SQL etc.)
  • Expertise in data design / modelling and analysing data requirements
  • Expertise in project management within an agile framework
  • Experience working with third party vendors to deliver data focused solutions
  • Strong commercial focus and understanding of how the business utilises and relies on data

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