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    Data Engineer - London, United Kingdom - Recruitment Gamechangers

    Recruitment Gamechangers
    Recruitment Gamechangers London, United Kingdom

    1 week ago

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    Human Resources
    Description

    Data Engineer

    Salary: £35-70k (plus very attractive bonus on top)

    Location: London/Leeds (hybrid working of 1 day a week in either the London or Leeds office, if prefered)

    We are looking to fill 2 or 3 roles at various seniority levels. PLEASE only apply if you have a strong interest in sports analytics.

    We are recruiting for a Sports Analytics company - a clear leader in their market with considerable expansion plans.

    Purpose of role:

    The purpose of the Data Engineer is to implement and maintain data infrastructure that facilitates data-driven decision making, innovation and operational efficiency while ensuring that the data pipeline is secure, reliable, and scalable. The role holder will build and maintain high-performance data systems that are foundational to driving business growth and success.

    Key responsibilities:

    • Implementing scalable data architectures and systems.
    • Developing and maintaining ETL (Extract, Transform, Load) pipelines.
    • Managing data storage, backup, and recovery mechanisms.
    • Writing complex SQL queries to extract data for analysis.
    • Developing and implementing data security and privacy.
    • Interfacing with clients, end users, and business stakeholders to provide transparency and receive guidance on projects, deliverables, and support.

    Experience and knowledge:

    Demonstrate an interest in building, maintaining, and scaling large-scale data systems. Knowledge of data privacy and security, including data encryption and masking techniques.

    Skills and competencies:

    • An understanding of data modelling concepts and be able to design data models that are optimised for different user cases.
    • Experience implementing data pipelines that run on Kafka or equivalent distributed event store and stream-processing platforms.
    • Familiarity with SQL and experience working with and designing relational databases.
    • Ability to debug and optimize failing or slow data pipelines and queries.
    • Enthusiasm for clean systems, including documentation, logging, and reproducibility.
    • An interest in working with AWS S3, Athena, ECS, Cloud Formation, Lambdas & Cloudwatch
    • Excellent presentation, documentation, time management, communication skills with the ability to work collaboratively and autonomously.
    • Strong problem-solving skills with a pragmatic and analytical outlook.

    Desirable:

    • Able to troubleshoot complex problems that arise during the Data Engineering process and be able to find effective solutions.
    • Communicate complex technical concepts to non-technical stakeholders and be able to work effectively with cross-functional teams.
    • Experience (1+ year) working with Python/R.
    • A keen interest in American sports. (NFL, NBA, MLB, NHL, NCAAB, NCAAF, Tennis or Soccer).
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