Job description

An exciting opportunity to design, implement and maintain data pipelines that are scalable, repeatable, secure and can serve multiple users within the business.

Role Purpose

  • Manage all aspects of the data platform.
  • Source data, assess quality, check for accuracy
  • Develop prototypes and proof of concepts for data science solutions.
  • Implement complex data projects with a focus on collecting, parsing, managing, modelling and visualising largesets of data using multiple platforms.
  • Bachelors Degree in Computer Science, Engineering, Mathematics, Statistics and/or a combination

Data engineering certifications such as:

  • Python
  • Microsoft
  • AWS
  • Hadoop
  • Big data and cloud infrastructure advantageous.


  • Minimum of 5 years experience in data engineering.
  • Experience with SQL and working with large scale data etc.
  • Experience with distributed data processing such as Hadoop, Spark, Kafka, Hive, Nifi and Hbase advantage
  • Experience with Cloud Data Engineering technologies advantageous
  • SAP BW ETL experience is advantageous.
  • Experience in operationalising data science solutions or similar product development experience in a highscale Production environment is advantageous.
  • Project management or consulting experience applied in cross-functional projects is advantageous

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