Time since we first saw it
Day 7
Similar jobs usually come down between day 6 and day 54.
At Sportradar, jobs usually come down by about day 24.
From 11,033 similar postings that came down, and 40 of Sportradar’s. Coming down is not always a hire.
Vienna, Austria
Live, first seen by us 7 days agoCompetitive 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:Read the full posting
Employment type in the employer’s posting: Full-timeFrom the employer’s posting
Build and maintain ETL pipelines using Spark and AWS services for daily advertising data
Design scalable batch and real-time data processing systems and Python or Go APIs
Lead large-scale data projects from requirements gathering through delivery
Set up monitoring and alerting to detect data quality issues; manage AWS infrastructure with Terraform
Mentor team members and present technical concepts to stakeholders
building and maintaining robust ETL pipelines using Spark and AWS services
Designing and building scalable data processing systems, developing backend APIs and microservices (Python or Go)
Leading large-scale data projects from requirements gathering through delivery
Implementing robust monitoring and alerting systems to detect data quality issues, managing AWS infrastructure using Terraform
mentoring team members, and presenting technical concepts to stakeholders
5+ years of data engineering experience with proven track record of leading complex data projects from conception to delivery
Ability to shape your own workday and career via a clearly defined professional and personal development plan
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.
In the employer’s words · Read in context
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications. We count a repost when the same title and location comes back as a new listing within 60 days of the last one coming down. Some hiring systems expire listings on a schedule, so repost rates vary by system.
Day 7
Similar jobs usually come down between day 6 and day 54.
At Sportradar, jobs usually come down by about day 24.
From 11,033 similar postings that came down, and 40 of Sportradar’s. Coming down is not always a hire.
6 open jobs
Open jobs by the week we first saw them, last 12 weeks.
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- 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
- 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
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
- 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
- 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
- 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
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Yes. We’ve followed 3 other Senior Data Engineer jobs there since June 2026. 3 came down, usually after about 23 days.
If this one keeps the same pace, it may come down around November 21.
Large employers often post one title for several teams, so these can be separate openings.
New Data Engineer postings at the employers we follow are up 8% over the last 5 weeks compared with the 5 before.
Each bar is one week of new postings. The darkest bars are the last 5 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
We file this job under Data Engineer, by the work the posting describes.
Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.
Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.
An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.
The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.
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:
ABOUT YOU
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!
We believe great products are built by great teams working closely together. While we offer flexible working hours, this role is fully office-based, as we strongly value in-person collaboration, knowledge sharing, fast decision-making, and team connection. We see working together onsite as a key driver of innovation, learning, and success. Certain exemptions may apply depending on location - your local point of contact can provide further details.
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!
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.
Selected passages from the saved posting. Check the full description for conditions and exceptions.
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:
Vienna, Austria
Working pattern and location restrictions need checking in the full posting.
No clear work-authorization passage found. Eligibility is unconfirmed.