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    Data Science Engineer - London, United Kingdom - Betway Group

    Betway Group
    Betway Group London, United Kingdom

    2 weeks ago

    Default job background
    Full time
    Description

    On average it takes 5 minutes to apply for this role.

    Kick-start your career in the online gaming world and experience the very latest in technology and innovation.

    Do you see yourself as one of those "out-of-the-box thinkers", "Technical masterminds", "Outstanding creatives", or "Mind-boggling number crunchers"? If so, we want to welcome you to the Betway family and celebrate what makes you unique

    Our global customer base is exploding and we need your skills to support us on this exciting journey Don't look back and submit your application before the opportunity passes you by..

    The Department:

    A department that prides itself on an unmatched ability to solve the most complex problems and deliver a consistent, high level of value to the business. The entire team are encouraged to have a working knowledge of all steps needed to deliver projects end to end including data engineering, architectural understanding, programming skills, data wrangling, QA, data visualisation and presenting to the business. Data Science work spans across acquisition, retention, trading, compliance and product and we pride ourselves on an ethos that everything is possible.

    Purpose of the Role:

    We're looking for someone to develop the code that powers our real time systems within data science. The work we do spans across multiple product areas including acquisition, retention, trading and compliance and you could be using a variety of different tools and languages so flexibility and a hunger to learn is essential. The current technical stack is based around two key platforms - Elasticsearch and Kubernetes. Within those you will be using a variety of different tools and languages so a flexibility and hunger to learn new skills is essential.

    Duties include, but not limited to:

  • Developing a large number of robust features in a self-sufficient way to a high technical standard
  • Stays up to date with technical knowledge in all technical skills
  • Contributes the quality of our products (for example monitoring alerts or logs to find bugs proactively, quality gatekeeps of code, configures build and deployments, etc.)
  • Identifies areas for improvements and implements new innovations to enhancements our products
  • Taking part in Scrum rituals such as stand-ups, planning sessions, demos and retrospectives
  • Taking part in team activities such as collaborative development and code reviews
  • Taking part in cross-team activities such as knowledge-sharing and documentation
  • Building relationships with other teams across the whole Super Group

    • This job description is not intended to be an exhaustive list of responsibilities. The job holder may be required to complete any other reasonable duties in order to achieve business objectives.

    Essential Criteria:

  • A strong development background gained working in a complex technical environment
  • A thorough understanding of NodeJS
  • Experience of using the Elastic Stack (Elasticsearch, Logstash and Kibana)
  • Experience of running and maintaining applications in Kubernetes clusters
  • Good understanding of Azure, especially event hubs and other data processing technologies
  • Understand the fundamentals of deployment of code including automation of deployment (terraform or similar)
  • Very strong and demonstrable problem-solving skills
  • Must be willing to do reasonable after-hours standby and support if required

    • Desirable Criteria:

  • Experience developing in other languages such as Python and C#
  • Experience of developing low latency data processing systems
  • An understanding of basic network troubleshooting practices
  • An understanding of MongoDB and Redis
  • An interest in Data Science Methodologies
  • Experience working with 'big data' systems

    • Person Specifications:

  • Adaptability
  • Building Relationships
  • Business Awareness
  • Collaboration
  • Communication
  • Continuous Renewal
  • Customer Focus
  • Efficiency & Effectiveness
  • Innovation
  • Problem Solving
  • Technical Knowledge

    • Should you not hear from us within 2 weeks, please assume your application has not been successful.

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