Senior Data Engineer (m/f/d)

<h3>Company Description</h3><p>We’re the world’s leading sports technology company, at the intersection between sports, media, and betting. More than 1,700 sports federations, media outlets, betting operators, and consumer platforms across 120 countries rely on our know-how and technology to boost their business.</p><h3>Job Description</h3><p>Sportradar, a global leader in understanding and leveraging the power of sports data for hundreds of business customers around the world, seeks a talented and experienced <strong>Data Engineer</strong> to join our diverse, highly skilled, and super enthusiastic <strong>Automated Content Team</strong> and support the team with <strong>building </strong><strong>quality datasets</strong> needed for training deep learning and computer vision models <strong>as well as scalable and powerful annotation infrastructure</strong> that the team is building for smooth R&amp;D of these models.</p><p> </p><p><strong>Automated Content Team</strong> is on a mission to revolutionize and reinvent the way content is created for our products and services and for the various sports enthusiasts that consume them. We create cutting-edge solutions that drive automated production of video and data. You will be part of the <strong>Annotation Domain</strong> of our team focused on building <strong>advanced Annotation Systems &amp; Datasets</strong>.</p><p> </p><p><strong>About the role</strong> </p><p> </p><p>The Annotations Systems Squad and Data Chapter play a critical role in Computer Vision (CV) and Deep Learning (DL) development at Sportradar. The team provides data and systems that power Computer Vision and Deep Learning models that are key to our automation strategy. The team partners closely with product leads from the rest of the Automated Content team and provides the human operational rigor required to develop some of the most advanced technology at Sportradar.</p><p> </p><p>As a Data Engineer, you will be responsible and have the engineering skills to <strong>make vast data sets more useful and accessible for CV/DL Engineers</strong> as well as <strong>supporting and coordinating data labeling and annotation campaigns </strong>for one or more Squads within our Automated Content Team. Are you ready for this new challenge? </p><p> </p><p>As a member of our team, you will importantly contribute to the ongoing development of revolutionary solutions. </p><p> </p><p>Some of the ongoing projects you will be involved are: </p><p> </p><ul><li><p>Sourcing, transforming, and analyzing data from various systems and making it more useful and accessible for Computer Vision and Deep Learning Engineers. </p></li><li><p>Coordinating data labelling campaigns based on requirements and specifications set by Computer Vision and Deep Learning Engineers, ensuring the highest quality of the data sets needed for model development. </p></li><li><p>Participating in the designing and implementation of the infrastructure for labelling solutions and data management that enable us to create vast data sets in the field of sports. </p></li></ul><p> </p><p><strong>WHO ARE WE LOOKING FOR?</strong> </p><p> </p><p>You are a talented and experienced  data engineer who enjoys working with data in every conceivable way. <strong>Data is your passion!</strong><strong> </strong>You also like challenges, strive for continuous improvement and are eager to learn a new thing every day.</p><p> </p><p>On top of being great with data, you are also great at talking with stakeholders, collecting requirements and can coordinate small-size projects that involve internal and external stakeholders. You enjoy collaborating with a diverse group of people and are passionate about what you do. Besides all of that you are not afraid to go out of your comfort zone. </p><p>  </p><p><strong>What will some of your challenges be?</strong></p><ul><li><p>Analyze raw data, develop, and maintain datasets and improve data quality and efficiency – doing that you will support our common mission to develop best-in-class Computer Vision and Deep Learning models </p></li><li><p>Data modeling for machine learning, analytics, and reporting use cases </p></li><li><p>Perform ad-hoc data analyses, support data scientists and analysts with their data requirements </p></li><li><p>Identify opportunities for data acquisition, combine raw information from different sources and continuously explore ways to enhance data quality and reliability </p></li></ul><ul><li><p>A vital position in coordinating and scoping out projects in a highly cross-functional environment with internal (e.g. ML/CV Engineers &amp; POs) and external stakeholders (Data Labeling partner companies &amp; individual annotators) </p></li><li><p>Independently plan new annotation campaigns from the ground up: assess requirements, define labeling rules, and make sure that proper documentation is at hand </p></li><li><p>Proactively propose strategies for robust data collection at scale, contributing to con