Software Engineer at Sportradar

Athens, Attica, Greece -

Full Time

Start Date

Immediate

Expiry Date

15 Feb, 26

Salary

0.0

Posted On

17 Nov, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Software Development, Machine Learning, Python, Elixir, SQL, Postgres, Linux, Data Pipelines, Database Queries, Natural Language Processing, Collaboration, Communication, Problem Solving, AI Solutions, Recommendation Engines, Predictive Models

Industry

Information Services

Description

Company Description 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. Job Description In April 2022, Sportradar acquired VAIX, a company who creates deeply integrated and powerful corporate AI solutions, enabling B2C internet businesses to utilize the power of machine learning for their customers and operations. Who we are VAIX is on a mission to use AI to transform human capability and business opportunity in online gaming. We are a subsidiary of Sportradar, means lots of data to play with. First to market, we brought Netflix and Spotify to online gaming, and acquired by Sportradar in 2022, we are looking for innovative people to keep us on the forefront of the industry. Our journey began in online gaming, where we leverage the extraordinarily rich data flows and our deep vertical knowledge of that space to transform entertainment and loyalty. Thanks to our union with Sportradar we can use the industry’s biggest source of data to create products and interfaces that are more dynamic and exciting because they are deeply personalized. What we do VAIX creates deeply integrated and powerful corporate AI solutions, enabling B2C operators to utilize the power of machine learning for their customers and operations. We are building a wide range of Machine Learning algorithms; domain-specific Recommendation engines, human behavior predictive models and Natural Language Processing model. Explore the opportunity to join us as a Software & Data Engineer to shape the future of sports technology and make an impact on a global scale. Our diverse team of Engineers (Software, DevOps, Q&A) work together to deliver innovative ML SaaS solutions for the iGaming industry. This is a great opportunity for you if you're eager to work on challenging problems and learn new technologies. THE CHALLENGE Develop and optimize data pipelines in Elixir. Write and optimize database queries to extract and transform data for machine. learning models and dashboards. Experiment with new technologies and approaches to improve the performance. of our machine learning models. Collaborate with data scientists, engineers, and account managers to ensure. that machine learning solutions meet business needs. ABOUT YOU Bachelor degree in Computer Science (or proven strong CS/SE background). Excellent programming skills, including knowledge and understanding of Python and/or a functional language (preferably Elixir) and/or a low-level programming language (C/C++, Java etc). Strong "get things done the right way" attitude. Strong willingness to learn new technologies and work on challenging problems. Good command of the English language, in spoken and written forms and good communication skills. Working experience in Software development is a plus. Familiarity with SQL (Postgres) is desirable. Proficiency in Linux systems would be beneficial. OUR OFFER A collaborative environment with colleagues from all over the world (Engineering offices in Europe, Asia and US) including various social events and teambuilding. Flexibility to manage your workday and tasks with autonomy. A balance of structure and autonomy to tackle your daily tasks. Vibrant and inclusive community, including Women in Tech and Pride groups which welcome all participants. Global Employee Assistance Programme. Calm and Reulay app (leading well-being apps designed to support focus, quality rest, mindfulness, and long-term mental resilience). Online training videos. Flexible working hours via hybrid model. While we appreciate the flexibility and benefits of working from home, we strongly believe that coming together in person fosters stronger connections, encourages collaboration, and drives innovation—both as individuals and as a company. The energy, shared ideas, and team support we experience in the office strengthen the foundation of our success and culture. For this reason, we are an office-first business operating on a hybrid model, with team members working in the office three days a week to build relationships, exchange ideas, and grow together. OUR RECRUITMENT PROCESS Initial Screening: A quick chat with our Talent Acquisition Partner to understand your background and expectations. Technical Interview: Meet with the team and Hiring Manager to dive into your solution, as also discuss team fit. Finals Steps: Receive feedback and, if successful, an offer! Additional Information At Sportradar, we celebrate our diverse group of hardworking employees. Sportradar is committed to ensuring equal access to its programs, facilities, and employment opportunities. All qualified applicants will receive consideration for employment without regard to age, race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. We encourage you to apply even if you only meet most of the requirements (but not 100% of the listed criteria) – we believe skills evolve over time. If you’re willing to learn and grow with us, we invite you to join our team!

Responsibilities

Develop and optimize data pipelines in Elixir and write and optimize database queries for machine learning models. Collaborate with data scientists and engineers to ensure machine learning solutions meet business needs.