About The Role

Join Quantexa, a leading Decision Intelligence platform, as a Software Engineer. In this role, you will be instrumental in shaping our Decision Systems, turning complex data into actionable insights. You will work across the software stack, enhancing our scoring capabilities and building tools for easier detection logic. This position involves coding, stakeholder management, and collaboration with product teams. You will be part of a talented team that values innovation and continuous improvement. Benefits include a pension scheme, annual leave, private healthcare, and more.

Conception, design, and implementation of features for the Decision Intelligence platform, focusing on scoring capabilities and detection logic.
Collaboration with product teams and delivery experts to design solutions that make a real impact, taking features from concept to release.
Building new tooling to allow users to configure detection logic more easily and effectively, and enhancing the platform for wider application of existing scores.
Take pride in designing, building and delivering high quality well engineered solutions to complex problems
Take a big picture approach to solving problems, taking care to ensure that the solution works well within the wider system
Commercial Scala experience or Functional Programming experience with languages such as Java
Have experience of the full engineering life cycle, from design and implementation through to testing and deployment
Passion and drive to grow within one of the UK’s fastest growing scale-ups
Working with big data technology, ideally Spark but others will also be useful such as Hadoop or Elasticsearch
Experience with DevOps tooling and approaches (automation and tooling is something we are passionate about, we even have a dedicated Developer Tooling team)
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

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