Exciting new start-up that works with financial institutions and government organisations to detect and prevent fraud, financial crime and non-compliance utilising bleeding edge innovations within big data and machine learning surrounded by passionate technologists.

We are looking for data engineers to develop a variety of data engineering tools and frameworks. You will be working on:

  • Big data processing ETL pipelines
  • Cleansing, parsing and standardising global data sets
  • Data classification
  • Entity extraction and resolution
  • Pre-packaged code for processing and utilising third party data sources
  • Efficiency and performance improvements through big data testing
  • Requirements

    We’re interested in speaking to you if you come from big data background, either software deployment or a data science perspective.

    Essential skills include:

  • Expert knowledge of at least one big data technology such as Spark, Hadoop or Elasticsearch
  • A strong coding background in either Java, Python or Scala
  • The desire to learn and code in Spark and or Scala
  • Experience working in an Agile environment
  • Experience of building data processing pipelines for use in production batch systems, including either traditional ETL pipelines and or analytics pipelines
  • Experience in manipulating data through cleansing, parsing, standardising etc, especially in relation to improving data quality and integrity
  • Passion and drive to grow within one of the UK’s fastest growing scale-ups