About this role

  • Posted on

  • Location

    Basel

  • Salary

    £58.30 - £76.63 per hour

  • Type

    Contract

  • Division

    Life Science Recruitment Jobs

  • Reference

    BBBH18390_1619516728

  • Start date

    10/5/2021

  • Managing this role

Executive Consultant

Jon Martin

+44 203 8540 262

jon.martin@xplorelifescience.com

154-158 Shoreditch High Street, E1 6HU

Description

My client, a well known global biopharma business is seeking an experienced Data Engineer to join on a 12 month contract. The successful applicant will have the responsibility to design data pipeline architecture in a strong partnership with Product owner to fit with product roadmap needs. This position plays a role as a mentor for the Data Engineer community to ensure that best practices and processes are met. Responsible for expanding and optimizing my client’s data and data pipeline architecture, as well as optimizing data flow and transformations.
Major Accountabilities

  • Responsible for defining how to develop the pipeline and his overall quality
  • Help the team in building new and relevant data engineer features for enhancing the pipeline according to the roadmap.
  • Plays a mentorship role to ensure the optimal application of best practices, coding conventions over the pipeline and assist data engineer in their duties upon request
  • Helps the team to achieve and surpass product and program goals
  • Provides technical guidance and direction as well as contributing hands-on to pipeline development
  • Acts as an evangelist and guiding practitioner of agile and dev ops practices

Ideal Background

  • Bachelor’s/Master’s degree in Computer Science, Applied Mathematics, Engineering, or any other technology related field; equivalent of the same in working experience may also be accepted
  • Responsible for expanding and optimizing data and data pipeline architecture, as well as optimizing data flow and transformations
  • Strong troubleshooting and problem solving skills
  • Experience building large-scale software systems and implementation of creative solutions to difficult computational problems (with emphasis on performance and near real-time data analytics)
  • Senior level data engineering (e.g. ETL) experience
  • Databricks or Spark experience
  • Proficient in Python, R or Scala
  • Experience with AWS / Azure cloud technologies and stack
  • Experience building big data applications and pipelines using Spark
  • Strong knowledge in DevOps, coding conventions and best practices for User Acceptance Test
  • Self-motivated, curious, proactive and accountable
  • Solid communication skills

Additional knowledge / experience:

  • Experience in medical imaging solutions
  • Understanding of data42 data capabilities and tools
  • Understanding of images storage best practices
  • Technical ability to configure images systems to load and transfer files
  • Knowledge of medical image formats and metadata
  • Work closely with data scientists to solve technical issues in building analytical blueprints in ML, DL, and genomic sequence analysis
  • Understanding of ML/DL and imaging processing in big data computing engine (e.g. Spark)
  • Familiarity with performance tuning skills (Spark, Data I/O);good knowledge about the internals of Spark and other components in Hadoop ecosystem (HDFS, Hive)

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