Lead Data Engineer

Benefits

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What we're all about. It isn't often you get to be part of a tech company that, since 2016, has been innovating the data analytics market in ways no-one else can. Our technology started out in FinTech, helping tackle serious criminal activity. Now, its potential is virtually limitless. Working at Quantexa isn't just intellectually stimulating. We're a real team. Collaborating and constantly engineering better and better solutions. We're ambitious, we think things through and we're on a mission to discover just how far we go. 41% of our colleagues come from an ethnic or religious minority background. We speak over 20 languages across our 47 nationalities, creating a sense of belonging for all. If our incredible culture sounds like you, we'd love you to join us. Opportunity Applications is an Engineering function within Quantexa's R&D department that is focused on internally building real-world applications of the Quantexa Platform. Data Engineers are focused on building the data infrastructure and processing capabilities that power Quantexa's platform and applications. This role focused on one of our Applications Teams: Data Feeds Building standardised and reusable code for processing various third party/open source data sets Managing an internal data lake for the provision of this data by other teams for testing and analytics Owning general best practices for ingesting and processing data to get it ready for use in the Quantexa Platform, including pipelines and scheduling Decision Systems Developing Quantexa's core risk detection and scoring capabilities, expanding it to new industries and scenarios Improving risk detection coverage by adding new Scores to detect additional types of Financial Crime Building new tooling to allow users to configure detection logic more easily and effectively The teams work together closely and team members are able to rotate between them to enable knowledge sharing and personal development. What do I need to have? Experience designing and building robust, scalable data infrastructure to support high-volume, high-velocity data flows Experience in developing and maintaining production-grade ETL and data processing pipelines, with a focus on performance, reliability, and maintainability Strong analytical skills, with experience working on real-world, varied datasets to extract insights and improve data quality Hands-on experience working with data in cloud-based environments, ideally with distributed systems and modern data platforms Familiarity with performance tuning and optimisation techniques for data processing workflows A collaborative mindset, with a track record of defining and sharing best practices across teams Comfortable working in a fast-paced Agile environment, with a focus on iterative delivery and continuous improvement A growth mindset and the drive to thrive within one of the UK's fastest-growing scale-ups Experience in the following would be beneficial: A strong coding background, ideally in Scala, or in a language such as Java or Python that supports a quick transition to Scala Working with big data technologies, ideally Spark, but experience with tools like Airflow or Elasticsearch is also valuable Manipulating and transforming data - cleansing, parsing, standardising - to improve data quality and integrity Our perks and quirks. What makes you Q will help you to realize your full potential, flourish and enjoy what you do, while being recognized and rewarded with our broad range of benefits.

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