Senior Software Engineer, Data Vienna 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.
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 EUR 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. 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!
Apply now
#J-18808-Ljbffr
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 EUR 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. 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!
Apply now
#J-18808-Ljbffr
