Senior Data Engineer

A *Bit About Us
Genius Sports is the official data, technology and commercial partner that powers the global ecosystem connecting sports, betting and media.
Our mission is to champion a more sustainable sports data ecosystem that benefits all parties - from the rights holder all the way through to the fan.
We are the trusted partner to over 500 sports organisations globally, capturing the highest quality data for many of the world's largest leagues and federations such as the NFL, NBA, MLB, English Premier League, Serie A, FIBA and the NCAA.
From enabling leagues to take control of their official data, to creating immersive fan experiences for sports, betting and media organisations, we are driven to the deliver the difference for our partners.
What *We Do*

• Sportstech
  Data capture, management and analysis tools that help leagues run their sport, unlock new revenue streams, and protect the integrity of their competitions.
• Video
  Fully automated streaming technology, production and distribution services that help showcase sports to the world.
• Sportsbook
  Everything a sportsbook operator needs to manage their operation and grow profits - all powered by the finest live sports data available.
• Media & Engagement
  We help brands and publishers engage and monetise sports fans with personalised campaigns and content they will love.
  The Role
  As Senior Data Engineer, you will design, develop, and maintain data processing systems and pipelines optimized for scaling and compliance. You will utilize significant amounts of data in this role and translate them into insightful information.
  Main Responsibilities
• Build a reliable and compliant system to ensure we capture, transform, store, and deliver data with the highest quality and integrity.
• Build scalable and reliable systems and analytical solutions for delivering business insights from different data sources across the division.
• Be a trusted technical advisor to the team and the entire division.
• Advocate for writing quality and testable code.
• Promote the DevOps culture across the team (CI, monitoring, alerting, etc).
  Minimum Qualifications
• Very strong experience with Databases and Data Warehousing concepts and technologies.
• Solid experience working with ETL/ELT and reporting tools.
• Successful track record securing Data Warehouses in a cloud environment.
• Knowledge of Data Science and Machine Learning.
• Experience writing maintainable software.
• Proficient in both speaking and writing English.
  Strong Pluses
• Familiarity with database schema versioning (especially Liquibase).
• Knowledge in columnar databases (especially Snowflake).
• Experience with Containerization (especially Docker and Kubernetes).
  We Offer
  As well as a competitive salary and annual leave allowance, our benefits include health insurance, skills training and much more, depending on location. We also offer a host of softer benefits, including many social events throughout the year such as summer and winter holiday parties, monthly team building events, sports tournaments, charity days and wellbeing activities.
• Due to COVID-19 restrictions, we are currently using virtual hiring processes in some locations, so that we can continue hiring great people whilst being mindful of the health of everyone involved in the recruitment process. Please therefore be aware that, among other things, interviews may take place by phone or video, and some new hires may need to be onboarded remotely (e.g. where access to office space is currently restricted). Our Talent Acquisition team will be able to advise of arrangements in relation to specific roles, so please reach out to them with any questions._