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.
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
Требования
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
Условия
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!
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
If you’re willing to learn and grow with us, we invite you to join our team!
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Появилась в Вакандии29 дней
Перепубликации1 разпубликаций всего: 2
Проверяли на источникеВидели 26 дней назад
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ГеографияВена, Австрия
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smartrecruitersПовторная публикация · 2026-06-24
smartrecruitersОсновная публикация · 2026-07-08
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