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SPSportradar

Senior Software Engineer, Data(m/w/x)

Wien
Vollzeitmit HomeofficeSenior
Data Science

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

  • Englischverhandlungssicher

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
Die Originalanzeige dieses Stellenangebotes in der aktuellsten Version findest du hier. Nejo hat diesen Job automatisch von der Website des Unternehmens Sportradar erfasst und die Informationen auf Nejo mit Hilfe von KI für dich aufbereitet. Trotz sorgfältiger Analyse können einzelne Informationen unvollständig oder ungenau sein. Bitte prüfe immer alle Angaben in der Originalanzeige! Inhalte und Urheberrechte der Originalanzeige liegen beim ausschreibenden Unternehmen.

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