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    Data Engineer - London, United Kingdom - Endeavor

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    Description

    Job Description

    Who We Are:

    UFC is the world's premier mixed martial arts organization (MMA), with more than 700 million fans and 243 million social media followers. The organization produces more than 40 live events annually in some of the most prestigious arenas around the world while broadcasting to over 900 million TV households across more than 170 countries. UFC's athlete roster features the world's best MMA athletes representing more than 80 countries. The organization's digital offerings include UFC FIGHT PASS, one of the world's leading streaming services for combat sports. UFC is part of TKO Group Holdings (NYSE: TKO) and is headquartered in Las Vegas, Nevada. For more information, visit and follow UFC at and @UFC on X, Snapchat, Instagram, and TikTok: @UFC.Endeavor is a global sports and entertainment company, home to many of the world's most dynamic and engaging storytellers, brands, live events, and experiences.

    The Endeavor network specializes in talent representation through entertainment agency WME; sports operations and advisory, event management, media production and distribution, and brand licensing through IMG; live event experiences and hospitality through On Location; full-service marketing through global cultural marketing agency 160over90; and sports data and technology through IMG ARENA and OpenBet. Endeavor is also the majority owner of TKO Group Holdings (NYSE: TKO), a premium sports and entertainment company comprising UFC and WWE.

    What You'll Do:

    The Data Engineer role sits within the Engineering team of the Data Services department responsible for all data applications across the company's divisions globally from Big Data, Data Warehousing, Business Intelligence, Analytics and Data Science.

    • Develop and optimise large-scale data pipelines that ingest data from a variety of sources
    • Work in a dynamic and exciting agile team with a highly skilled team of Data Engineers from other disciplines to design and develop innovative data-driven solutions
    • Comfortable with designing and building data pipelines and have a solid appreciation for how all phases of the data lifecycle from ingestion, to cleansing, transforming and analysing fit together
    • Design and implement data models to support the data product and ensure scalability/performance Working on multiple greenfield projects supporting internal business units and external clients
    • Ensure the accuracy and reliability of data across the data pipeline
    • Bring positive innovative ideas that lead to innovative solutions rather than a lift-and-shift mentality
    • Constantly stay up to date on new technologies in the data space and where they may fit our initiatives
    • Strive for high quality and rapid output through the use of data engineering/warehousing best practices and collaborative sessions (code reviews, whiteboarding, etc.)
    • Create and maintain architecture and systems documentation
    • Collaborate with Data Analysts to drive efficiencies for their work

    Additional Responsibilities and Duties when necessary

    • Take part in infrastructure and development related workshops and meetings
    • Available to work outside of normal business hours and weekends when required

    You Have These:

    • Exposure to, and ideally experience with, modern data architectures (e.g. data lake, lake house, data mesh) and accompanying technologies (e.g. Azure Synapse, Snowflake, Amazon Redshift)
    • Awareness of data governance and all surrounding legislation
    • Interest in security and how to handle PII data
    • Excellent written and verbal communication skills
    • Ability to identify software bugs and work with the team to develop solutions
    • Stay up to date with wider industry direction and evaluate the benefit of new technologies
    • Ability to maintain delivery momentum

    We'd Love If You Also Have These:

    • Highly proficient in SQL
    • Experience using Python based ETL tools such as Databricks
    • Experience using Data Ingestion tools such as FiveTran or Stitch
    • Experience using Business Intelligence tools such as PowerBI, Looker or Tableau
    • Experience with data pipeline tools such as DBT, Airflow or Luigi are a plus
    • Experience using cloud environments e.g. Azure or AWS
    • Understanding of the Agile delivery method

    Working Conditions:

    · Permanent, London Chiswick Park

    · Working hours are: 9am-5pm

    · Working days are: Mon-Fri

    Endeavor is at the center of sports, media, entertainment, and fashion and is a largely relationship-based business. To foster an environment of collaboration, develop our future talent, and build on relationships across leadership, peers, and teams, we work from the office 4 days per week. We see immeasurable value internally and throughout the core of the businesses we support.

    Endeavor unites and brings people together in our love of sport, culture, and entertainment. We understand this can only be accomplished when we lead with a lens of diversity, equity, and inclusion in everything we do. As a global company that drives culture, we strive to reflect the world's diverse voices.

    Endeavor is an equal opportunities employer and encourages applications from suitably qualified and eligible candidates regardless of sex, race, disability, age, sexual orientation, or religion or belief.


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