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Sign up with Clera and we'll reach out the moment a role actually fits you — no more spraying applications into the void.
Full-time
Retirement Pension, Insurance Plan, Public Transport Ticket (Öffi-Ticket) Coverage, Professional And Personal Development Plan, Inclusive Community Groups, Company Sports And Social Events
Posted 50d ago
~40 hrs/week
Responsibilities
Design and build scalable data processing systems and ETL pipelines to handle terabytes of advertising data. Lead complex data projects from requirements gathering to delivery while ensuring high availability and data quality.
Requirements
Requires over 5 years of data engineering experience with strong proficiency in AWS, Python, and Apache Spark. Must have a proven track record of leading cross-functional projects and a commitment to clean code principles.
Full job 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
ABOUT US:
The Ads Analytics team is the backbone of our advertising intelligence platform, processing terabytes of data daily from programmatic, social, and search advertising channels. We build end-to-end solutions that transform raw advertising data into actionable business insights and leverage rich analytics data to create sophisticated sport audience segments.
THE CHALLENGE
We're scaling rapidly and need a senior data engineer who can take ownership of complex, multi-faceted data projects. You'll be tackling challenges like:
Scale & Performance Engineering: Processing and analyzing terabytes of advertising data with sub-second query performance while building and maintaining robust ETL pipelines using Spark and AWS services to handle massive data volumes daily
Data Pipeline Architecture & Development: Designing and building scalable data processing systems, developing backend APIs and microservices (Python or Go), architecting data flows that support both batch and real-time analytics requirements, and managing user-facing dashboards that visualize complex data insights
Infrastructure & Data Quality Operations: Implementing robust monitoring and alerting systems to detect data quality issues, managing AWS infrastructure using Terraform, implementing CI/CD best practices, and maintaining high coding standards across data processing systems
Cross-Functional Leadership & Collaboration: Leading large-scale data projects from requirements gathering through delivery, bridging technical implementation with business requirements, mentoring team members, and presenting technical concepts to stakeholders while challenging requirements constructively
End-to-End Data System Ownership: Taking complete ownership of complex data engineering projects while ensuring high availability and accuracy for both internal stakeholders and external clients, championing clean code principles, and serving as a knowledge leader who supports delivering the right data solutions
ABOUT YOU
5+ years of data engineering experience with proven track record of leading complex data projects from conception to delivery
Exceptional communication skills and experience working in cross-functional teams with analysts, product managers, and business stakeholders
AWS & Data Engineering: Very strong hands-on experience with AWS services (S3, Lambda, Glue, Athena, Redshift, EMR, etc.) and proficiency with Apache Spark for large-scale data processing
Backend Development: Strong experience with Python for building data processing services and APIs, plus expert-level SQL for data processing and analytics
Infrastructure & DevOps: Hands-on experience with Docker, Terraform, and CI/CD pipelines with automation best practices for data systems
Clean Code Advocate: Strong commitment to writing clean, maintainable, well-documented code with comprehensive testing and deep knowledge of analytics/reporting requirements
Data Architecture: Experience designing scalable data architectures, data modeling, and optimizing data processing workflows
Dashboard Development: Experience creating and managing analytics dashboards in bi tools (Tableau, Qlik Sense, Quicksuite, Power BI) and data visualization solutions to present complex insights to stakeholders
GenAI Tools (beneficial): Experience working with contextual and prompt engineering with GitHub Copilot, Claude, or similar AI assistants
OUR OFFER:
A collaborative environment with colleagues from all over the world (Engineering offices in Europe, Asia and US)
Ability to shape your own workday and career via a clearly defined professional and personal development plan
Opportunity to work with senior leadership, develop yourself and build your career within an inspiring and fast-growing company and digital sports environment.
A vibrant and inclusive community, including Women in Tech and Pride groups which welcome all participants
A company culture that promotes social aspects, sports, physical exercise and fun.
Innovative and cross-team challenges like ShipIt, office sports tournaments in Darts and Table Tennis and unique beer brewing competitions.
Competitive salary and benefits (e.g. retirement pension and insurance plan)
Sportradar takes over the full costs of € 365.- for the Öffi-Ticket (Jahreskarte) for you
OUR RECRUITMENT PROCESS:
Initial Screening: A quick chat with our Talent Acquisition Partner to understand your background and expectations.
Technical: Theoretical Interview: 60 minutes to discuss your technical skills on the theoretical level with the technical team.
Technical: Coding Interview: 60 minutes of live coding where we do not access the end result but rather the candidate's approach (clean code and thinking process).
System Design Interview: 60 minutes to solve a high-level problem with certain requirements.
Final Steps: Receive final feedback while onsite visit might be requested and, if successful, an offer!
Additional Information
The minimum monthly salary for this position is according to the Collective Bargaining Agreement. Overpayment will be considered depending on qualifications and working experience.
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!
Related keywords
PythonAWSS3LambdaGlueAthenaRedshiftEMRApache SparkSQLDockerTerraformCI/CDData ArchitectureTableauQlik Sense
Sportradar, the leading global sports technology company creating immersive experiences for sports fans and bettors.
Industry
Information Services
Company size
1,001-5,000 employees
Founded
2001
Headquarters
St. Gallen
LinkedIn followers
228,841
Total funding
$98M
Sportradar Group AG (NASDAQ: SRAD), founded in 2001, is a leading global sports technology company creating immersive experiences for sports fans and bettors. Positioned at the intersection of the sports, media and betting industries, the company provides sports federations, news media, consumer platforms and sports betting operators with a best-in-class range of solutions to help grow their business. As the trusted partner of organizations like the ATP, NBA, NHL, MLB, NASCAR, UEFA, FIFA, and Bundesliga, Sportradar covers over a million events annually across all major sports. With deep industry relationships and expertise, Sportradar is not just redefining the sports fan experience, it also safeguards sports through its Integrity Services division and advocacy for an integrity-driven environment for all involved.
For more information about Sportradar, please visit www.sportradar.com
Offices: Feldlistrasse 2, St. Gallen, 9000, CH · Hosnedlgasse 25, Vienna, 1220, AT · Ferjemannsveien 10, Trondheim, 7042, NO · Mauerkircherstr. 1a, Munich, 81679, DE · Industriestraße 11, Gera, 07546, DE
Sports-related live data and odds solutionsVirtual Sports BettingIntegrity servicesSports information servicesMedia servicesand Digital Sports SolutionsSportsInformation TechnologyInformation ServicesGambling
How many Engineering jobs are open in Vienna, Austria right now?
There are currently 481 open engineering positions in Vienna, Austria listed on Clera. New openings are added daily as companies post roles.
Which companies are hiring for Engineering roles in Vienna, Austria?
Companies currently hiring include OBB - OSTERREICHISCHE BUNDESBAHNEN - HOLDING AG, EUROPTEN, Raiffeisen Bank International AG, PORR Group, ANDRITZ, among others. Browse the listings above to see every active employer.
Are there remote or hybrid Engineering jobs in Vienna, Austria?
Yes — 264 of the 481 open engineering positions offer remote or hybrid work (30 remote, 234 hybrid).
How do I apply for Engineering jobs in Vienna, Austria?
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