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Senior Data Engineer

Pay
Pay amount needs review — pay source
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:
Read the full posting
Work setting
Not stated
Employment
Full-time — employment source
Employment type in the employer’s posting: Full-time
From the employer’s posting

What you’ll work on

Full 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

From the employer’s posting
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

What you’ll bring

All qualifications

Core experience

  • 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
Qualification wording
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

About Sportradar

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

Apply at Sportradar

Posting record

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Status in our records
Live
First seen by us
Oct 29, 20267 days ago
Recorded sightings
8
Last seen by us
Nov 5, 2026
Reposted
once since Sep 22, 2026

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.

How this job compares

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.

Sportradar is hiring

6 open jobs

Open jobs by the week we first saw them, last 12 weeks.

  • Hiring has slowed
  • Takes jobs down quickly
  • 17% of open jobs were reposted
Hiring record

See how this role fits your experience

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.

  • Python
  • SQL
  • AWS
  • Docker
  • Power BI
  • Redshift
  • S3
  • Spark
  • Tableau
  • Terraform
  • Go
Where the posting names them
- 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

Your next step

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Has Sportradar posted this job before?

Yes. We’ve followed 3 other Senior Data Engineer jobs there since June 2026. 3 came down, usually after about 23 days.

  1. New YorkCame down after 0 days, first seen Jun 30
  2. New YorkCame down after 42 days, first seen Jun 30
  3. ViennaCame down after 23 days, first seen Sep 22
  4. This jobUp 7 days so far, first seen Oct 29

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.

Demand for Data Engineer roles

New Data Engineer postings at the employers we follow are up 8% over the last 5 weeks compared with the 5 before.

Weekly new Data Engineer postings at the same employers, from the week of August 17 to the week of October 26. The fewest in a week was 839, the most 1,314, and the latest week had 1,086.
August 17Last week

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.

About the role

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.

US government figures for database architects

Median yearly pay, May 2025
$139,500
Expected change, 2025 to 2035
9.4% more jobsagainst 3.5% for all jobs

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.

Job description

View original posting ↗

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! 

    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.

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!

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.

Source details

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Pay
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:
Location & working pattern

Vienna, Austria

Working pattern and location restrictions need checking in the full posting.

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