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Senior Software Engineer

Quantexa

Join our R&D team as a Senior Software Engineer and help shape the next generation of products that transform how organizations use data. You will work on our core Contextual Decision Intelligence offering, the Quantexa Platform, which addresses business problems in areas such as fraud, financial crime, and data management. You will primarily work with Scala and microservices, utilizing Akka and Monix for scalable, high-performance distributed systems.

  • Participer à la conception, au développement et à la mise en œuvre de solutions logicielles de haute qualité pour la plateforme Quantexa.
  • Collaborer avec les équipes de recherche et développement pour résoudre des problèmes commerciaux complexes dans des domaines tels que la fraude et la gestion des données.
  • Utiliser des technologies modernes et des pratiques de développement agiles pour garantir la scalabilité et la performance des systèmes distribués.
  • Take a big picture approach to solving problems, taking care to ensure that the solution works well within the wider system
  • Take pride in designing, building and delivering high quality well engineered solutions to complex problems
  • Experience with DevOps tooling and approaches (automation and tooling is something we are passionate about, we even have a dedicated Developer Tooling team)
  • Commercial Scala and Functional Programming experience (we may consider candidates without if their commercial background is relevant e.g. Java and they have some non-commercial Scala experience)
  • Have experience of the full engineering life cycle, from design and implementation through to testing and deployment
  • Working with big data technology, ideally Spark but others will also be useful such as Hadoop or Elasticsearch
  • Building data processing pipelines for use in production batch systems, including either traditional ETL pipelines and/or analytics pipelines
  • Manipulating data through cleansing, parsing, standardising etc, especially in relation to improving data quality/integrity