Die KI-Suchmaschine für Jobs
Senior Software Engineer, Data(m/w/x)
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.
Anforderungen
- 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
Aufgaben
- 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.
Berufserfahrung
- 5 Jahre
Ausbildung
- Bachelor-AbschlussODER
- Master-Abschluss
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- AWS
- Apache Spark
- Python
- SQL
- Docker
- Terraform
- CI/CD
- Tableau
- Qlik Sense
- Quicksuite
- Power BI
- GitHub Copilot
- Claude
Benefits
Lockere Unternehmenskultur
- Collaborative environment
- International colleagues
- Inspiring company environment
- Vibrant and inclusive community
- Culture promoting social aspects
- Culture promoting fun
Flexibles Arbeiten
- Flexible workday
Weiterbildungsangebote
- Professional and personal development
Startup-Atmosphäre
- Work with senior leadership
- Fast-growing company
- Digital sports environment
- Innovative challenges
Karriere- und Weiterentwicklung
- Career growth opportunities
Sonstige Vorteile
- Women in Tech group
- Pride group
- Insurance plan
Gesundheits- & Fitnessangebote
- Culture promoting sports
- Culture promoting physical exercise
Team Events & Ausflüge
- Cross-team challenges
- Office sports tournaments
- Beer brewing competitions
Abwechslungsreiche Aufgaben
- ShipIt challenges
Betriebliche Altersvorsorge
- Retirement pension
Öffi Tickets
- Public transport ticket
Noch nicht perfekt?
- SportradarVollzeitmit HomeofficeSeniorWien
- Helu.io GmbH
Data Engineer(m/w/x)
Vollzeitmit HomeofficeBerufserfahrenWien - Capgemini
(Senior) Data Engineer (Databricks/Snowflake)(m/w/x)
Vollzeitmit HomeofficeBerufserfahrenWien, Grazab 60.000 / Jahr - Boehringer Ingelheim
Data & Integration Engineer(m/w/x)
Vollzeitmit HomeofficeBerufserfahrenWienab 64.170 / Jahr
Senior Software Engineer, Data(m/w/x)
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.
Anforderungen
- 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
Aufgaben
- 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.
Berufserfahrung
- 5 Jahre
Ausbildung
- Bachelor-AbschlussODER
- Master-Abschluss
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- AWS
- Apache Spark
- Python
- SQL
- Docker
- Terraform
- CI/CD
- Tableau
- Qlik Sense
- Quicksuite
- Power BI
- GitHub Copilot
- Claude
Benefits
Lockere Unternehmenskultur
- Collaborative environment
- International colleagues
- Inspiring company environment
- Vibrant and inclusive community
- Culture promoting social aspects
- Culture promoting fun
Flexibles Arbeiten
- Flexible workday
Weiterbildungsangebote
- Professional and personal development
Startup-Atmosphäre
- Work with senior leadership
- Fast-growing company
- Digital sports environment
- Innovative challenges
Karriere- und Weiterentwicklung
- Career growth opportunities
Sonstige Vorteile
- Women in Tech group
- Pride group
- Insurance plan
Gesundheits- & Fitnessangebote
- Culture promoting sports
- Culture promoting physical exercise
Team Events & Ausflüge
- Cross-team challenges
- Office sports tournaments
- Beer brewing competitions
Abwechslungsreiche Aufgaben
- ShipIt challenges
Betriebliche Altersvorsorge
- Retirement pension
Öffi Tickets
- Public transport ticket
Über das Unternehmen
Sportradar
Branche
Media
Beschreibung
The company is a worldwide leader in sports data and audiovisual services for bookmakers, offering data-driven marketing services for betting operators.
Noch nicht perfekt?
- Sportradar
Senior Data Scientist(m/w/x)
Vollzeitmit HomeofficeSeniorWien - Helu.io GmbH
Data Engineer(m/w/x)
Vollzeitmit HomeofficeBerufserfahrenWien - Capgemini
(Senior) Data Engineer (Databricks/Snowflake)(m/w/x)
Vollzeitmit HomeofficeBerufserfahrenWien, Grazab 60.000 / Jahr - Boehringer Ingelheim
Data & Integration Engineer(m/w/x)
Vollzeitmit HomeofficeBerufserfahrenWienab 64.170 / Jahr