6 data engineer jobs found

About the Company Football Radar have been successfully developing statistical models and analytical frameworks for football for over 10 years. We provide advice to football clubs, and we are also a leading provider of betting advice, where we have helped our clients achieve outstanding returns for over 10 years. We see ourselves as an interesting mix of start-up and established business, with the agility of the former and the security of the latter. About The Role At Football Radar we have two small data science teams. A prediction team, focused on the betting and prediction side of our business; and a club consultancy team, developing models and products to help decision making within football clubs. Your role as a data engineer will be to help support these teams by taking ownership of the data pipelines to ensure data is up-to-date, reliable, and easily accessible.  In practice you will be working on things like: Automating pipelines for...

Position Overview: We are hiring a Data Analytics Engineer to join our Data Operations team at TOCA and help scale our analytics platform. This is a hands-on role for someone who enjoys working close to raw data, building well-designed data models, and enabling the business to make better decisions through trusted reporting. You will own core analytics models, integrate AI functionalities, partner closely with business stakeholders, and help define best practices for how data is transformed, modeled, and consumed at TOCA. This role is ideal for someone who thrives in an environment where direction is often evolving and enjoys solving open-ended problems creatively.   Your Game Plan: On the Data Field: Analytics Engineering & Modeling (50%) Design and build analytics data models in Snowflake using SQL and dbt Transform raw source data into clean, well-structured analytics models using star schema best practices Build and maintain fact and dimension...

U.S. Soccer Overview   The U.S. Soccer Federation exists in service to soccer. Our aim is to ignite a national passion for the game. Because we believe that soccer is more than a sport; it is a force for good.    We understand the importance and the power of teamwork, on and off the pitch. That is why we work closely with our Federation partners and members, to inspire, support and guide every level of the game: from the grassroots to the National Teams. We want to bring soccer into every home and every community, right across America. Because we believe that soccer can transform lives like no other sport. Soccer can represent the best of U.S.    U.S. Soccer is in a period of significant growth, with ambitious plans for U.S. Soccer in the near and far future. We are, therefore, looking for dynamic servant leaders to join us on this journey: in service to soccer. Applicants must be able to demonstrate visionary leadership, analytical...

Overview Major League Soccer’s Strategy and Business Intelligence group is tasked with supporting strategic decision making and resource allocation across the League – with a focus on driving fan growth, revenue capture, and operating efficiencies – by providing impactful data driven insights, analysis, and recommendations.    This individual contributor position requires a curious, analytical, and collaborative mindset — someone who brings structure to complexity and thrives at the intersection of data science and marketing impact.   This role applies advanced analytics and modeling to fan and marketing data — including the League’s Fan Genome — to uncover engagement trends, build predictive attributes, and inform marketing strategy across League and Club initiatives.   The ideal candidate is a hands-on data scientist with a strong understanding of marketing performance, audience segmentation, and...

Company Description  Swish Analytics is a sports analytics, betting and fantasy startup building the next generation of predictive sports analytics data products. We believe that oddsmaking is a challenge rooted in engineering, mathematics, and sports betting expertise; not intuition.  We're looking for team-oriented individuals with an authentic passion for accurate and predictive real-time data who can execute in a fast-paced, creative, and continually-evolving environment without sacrificing technical excellence. Our challenges are unique, so we hope you are comfortable in uncharted territory and passionate about building systems to support products across a variety of industries and consumer/enterprise clients.   Job Description Swish Analytics is hiring Soccer Data Scientists to join our ever-growing team! Data Science is at the core of our business, so this team has true ownership and impact over developing core components of Swish's data...

Company Description  Swish Analytics is a sports analytics, betting and fantasy startup building the next generation of predictive sports analytics data products. We believe that oddsmaking is a challenge rooted in engineering, mathematics, and sports betting expertise; not intuition.  We're looking for team-oriented individuals with an authentic passion for accurate and predictive real-time data who can execute in a fast-paced, creative, and continually-evolving environment without sacrificing technical excellence. Our challenges are unique, so we hope you are comfortable in uncharted territory and passionate about building systems to support products across a variety of industries and consumer/enterprise clients.   Job Description Swish Analytics is hiring Soccer Data Scientists to join our ever-growing team! Data Science is at the core of our business, so this team has true ownership and impact over developing core components of Swish's data...