Sportradar
Senior Data Scientist(m/w/x)
Full-timeWith HomeofficeSenior
Wien
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SPSportradar
Senior Software Engineer, Data(m/w/x)
Wien
Full-timeWith Home OfficeSenior
Data Science
Nejo AI Summary
Processing terabytes of advertising data for sports technology clients, building ETL pipelines with Spark and AWS. Very strong hands-on AWS services experience (S3, Lambda, Glue, Athena, Redshift, EMR) required. Flexible workday.
Requirements
- 5+ years of data engineering experience
- Proven track record leading complex data projects
- Exceptional communication skills
- Experience working in cross-functional teams
- Very strong hands-on AWS services experience (S3, Lambda, Glue, Athena, Redshift, EMR)
- Proficiency with Apache Spark for large-scale data processing
- Strong Python experience for data processing services and APIs
- Expert-level SQL for data processing and analytics
- Hands-on Docker, Terraform, CI/CD experience with automation best practices
- Strong commitment to clean, maintainable, well-documented code with comprehensive testing
- Deep knowledge of analytics/reporting requirements
- Experience designing scalable data architectures
- Data modeling experience
- Optimizing data processing workflows experience
- Experience creating and managing analytics dashboards in BI tools (Tableau, Qlik Sense, Quicksuite, Power BI)
- Data visualization solutions experience
- Experience with contextual and prompt engineering with GitHub Copilot, Claude, or similar AI assistants (beneficial)
- Willingness to learn and grow
Tasks
- Process and analyze terabytes of advertising data rapidly.
- Build robust ETL pipelines using Spark and AWS.
- Maintain robust ETL pipelines using Spark and AWS.
- Design and build scalable data processing systems.
- Develop backend APIs and microservices (Python or Go).
- Architect data flows for batch/real-time analytics.
- Manage user-facing dashboards for data insights.
- Implement robust monitoring and alerting systems.
- Manage AWS infrastructure using Terraform.
- Implement CI/CD best practices.
- Maintain high coding standards.
- Lead large-scale data projects end-to-end.
- Bridge technical implementation and business requirements.
- Mentor team members.
- Present technical concepts to stakeholders.
- Challenge project requirements constructively.
- Own complex data engineering projects.
- Ensure high availability and accuracy for clients.
- Champion clean code principles.
- Serve as a data solutions knowledge leader.
Work Experience
- 5 years
Education
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- AWS
- Apache Spark
- Python
- SQL
- Docker
- Terraform
- CI/CD
- Tableau
- Qlik Sense
- Quicksuite
- Power BI
- GitHub Copilot
- Claude
Benefits
Informal Culture
- Collaborative environment
- International colleagues
- Inspiring company environment
- Vibrant and inclusive community
- Culture promoting social aspects
- Culture promoting fun
Flexible Working
- Flexible workday
Learning & Development
- Professional and personal development
Startup Environment
- Work with senior leadership
- Fast-growing company
- Digital sports environment
- Innovative challenges
Career Advancement
- Career growth opportunities
Other Benefits
- Women in Tech group
- Pride group
- Insurance plan
Healthcare & Fitness
- Culture promoting sports
- Culture promoting physical exercise
Team Events
- Cross-team challenges
- Office sports tournaments
- Beer brewing competitions
Diverse Work
- ShipIt challenges
Retirement Plans
- Retirement pension
Public Transport Subsidies
- Public transport ticket
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Sportradar and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
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SPSportradar
Senior Software Engineer, Data(m/w/x)
Wien
Full-timeWith Home OfficeSenior
Data Science
Nejo AI Summary
Processing terabytes of advertising data for sports technology clients, building ETL pipelines with Spark and AWS. Very strong hands-on AWS services experience (S3, Lambda, Glue, Athena, Redshift, EMR) required. Flexible workday.
Requirements
- 5+ years of data engineering experience
- Proven track record leading complex data projects
- Exceptional communication skills
- Experience working in cross-functional teams
- Very strong hands-on AWS services experience (S3, Lambda, Glue, Athena, Redshift, EMR)
- Proficiency with Apache Spark for large-scale data processing
- Strong Python experience for data processing services and APIs
- Expert-level SQL for data processing and analytics
- Hands-on Docker, Terraform, CI/CD experience with automation best practices
- Strong commitment to clean, maintainable, well-documented code with comprehensive testing
- Deep knowledge of analytics/reporting requirements
- Experience designing scalable data architectures
- Data modeling experience
- Optimizing data processing workflows experience
- Experience creating and managing analytics dashboards in BI tools (Tableau, Qlik Sense, Quicksuite, Power BI)
- Data visualization solutions experience
- Experience with contextual and prompt engineering with GitHub Copilot, Claude, or similar AI assistants (beneficial)
- Willingness to learn and grow
Tasks
- Process and analyze terabytes of advertising data rapidly.
- Build robust ETL pipelines using Spark and AWS.
- Maintain robust ETL pipelines using Spark and AWS.
- Design and build scalable data processing systems.
- Develop backend APIs and microservices (Python or Go).
- Architect data flows for batch/real-time analytics.
- Manage user-facing dashboards for data insights.
- Implement robust monitoring and alerting systems.
- Manage AWS infrastructure using Terraform.
- Implement CI/CD best practices.
- Maintain high coding standards.
- Lead large-scale data projects end-to-end.
- Bridge technical implementation and business requirements.
- Mentor team members.
- Present technical concepts to stakeholders.
- Challenge project requirements constructively.
- Own complex data engineering projects.
- Ensure high availability and accuracy for clients.
- Champion clean code principles.
- Serve as a data solutions knowledge leader.
Work Experience
- 5 years
Education
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- AWS
- Apache Spark
- Python
- SQL
- Docker
- Terraform
- CI/CD
- Tableau
- Qlik Sense
- Quicksuite
- Power BI
- GitHub Copilot
- Claude
Benefits
Informal Culture
- Collaborative environment
- International colleagues
- Inspiring company environment
- Vibrant and inclusive community
- Culture promoting social aspects
- Culture promoting fun
Flexible Working
- Flexible workday
Learning & Development
- Professional and personal development
Startup Environment
- Work with senior leadership
- Fast-growing company
- Digital sports environment
- Innovative challenges
Career Advancement
- Career growth opportunities
Other Benefits
- Women in Tech group
- Pride group
- Insurance plan
Healthcare & Fitness
- Culture promoting sports
- Culture promoting physical exercise
Team Events
- Cross-team challenges
- Office sports tournaments
- Beer brewing competitions
Diverse Work
- ShipIt challenges
Retirement Plans
- Retirement pension
Public Transport Subsidies
- Public transport ticket
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Sportradar and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
About the Company
Sportradar
Industry
Media
Description
The company is a worldwide leader in sports data and audiovisual services for bookmakers, offering data-driven marketing services for betting operators.
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