Capgemini
(Senior) Data Engineer (Databricks/Snowflake)(m/w/x)
Vollzeitmit HomeofficeBerufserfahren
Wien, Graz
ab 60.000 / Jahr
Neuer Job?Nejo!
Dein persönlicher KI-Karriere-Agent
SPSportradar
Senior Software Engineer, Data(m/w/x)
Wien
Vollzeitmit HomeofficeSenior
AI/ML
Nejo KI-Zusammenfassung
Processing terabytes of advertising data with Spark and AWS ETL pipelines. 5+ years data engineering experience and strong AWS hands-on skills required. Retirement pension, insurance plan, and overpayment based on qualifications.
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 AWS hands-on experience
- Proficiency with Apache Spark
- Strong Python experience for backend development
- Expert-level SQL for data processing and analytics
- Hands-on experience with Docker
- Hands-on experience with Terraform
- Hands-on experience with CI/CD pipelines
- Commitment to writing clean, maintainable code
- Comprehensive testing experience
- Deep knowledge of analytics/reporting requirements
- Experience designing scalable data architectures
- Data modeling experience
- Experience optimizing data processing workflows
- Experience creating analytics dashboards
- Experience managing analytics dashboards
- Experience with data visualization solutions
- Experience with contextual AI tools
- Experience with prompt engineering
- Willingness to learn and grow
Aufgaben
- Process and analyze terabytes of advertising data
- Build and maintain robust ETL pipelines using Spark and AWS
- Design and build scalable data processing systems
- Develop backend APIs and microservices in Python or Go
- Architect data flows for batch and real-time analytics
- Manage user-facing dashboards for complex data visualization
- Implement monitoring and alerting systems for data quality
- Manage AWS infrastructure with Terraform
- Implement CI/CD best practices
- Maintain high coding standards in data processing systems
- Lead large-scale data projects from requirements to delivery
- Bridge technical implementation with business requirements
- Mentor team members
- Present technical concepts to stakeholders
- Challenge requirements constructively
- Ensure high availability and accuracy for stakeholders and clients
- Champion clean code principles
- Serve as a knowledge leader in data solutions
Berufserfahrung
- 5 Jahre
Ausbildung
- Bachelor-AbschlussODER
- Master-Abschluss
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- AWS
- S3
- Lambda
- Glue
- Athena
- Redshift
- EMR
- Apache Spark
- Python
- SQL
- Docker
- Terraform
- CI/CD
- Tableau
- Qlik Sense
- Quicksuite
- Power BI
- GitHub Copilot
- Claude
Benefits
Sonstige Vorteile
- 3 days in office
- Insurance plan
- Women in Tech group
- Pride group
- Social aspects
Betriebliche Altersvorsorge
- Retirement pension
Attraktive Vergütung
- Overpayment based on qualifications
Lockere Unternehmenskultur
- Collaborative environment
Weiterbildungsangebote
- Professional and personal development plan
Karriere- und Weiterentwicklung
- Career development
Gesundheits- & Fitnessangebote
- Sports
- Physical exercise
Abwechslungsreiche Aufgaben
- ShipIt challenges
Team Events & Ausflüge
- Office sports tournaments
- Beer brewing competitions
Öffi Tickets
- Öffi-Ticket (Jahreskarte) covered
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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Senior Consultant Data Engineering(m/w/x)
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Vollzeitmit HomeofficeSeniorWien, Hamburg
SPSportradar
Senior Software Engineer, Data(m/w/x)
Wien
Vollzeitmit HomeofficeSenior
AI/ML
Nejo KI-Zusammenfassung
Processing terabytes of advertising data with Spark and AWS ETL pipelines. 5+ years data engineering experience and strong AWS hands-on skills required. Retirement pension, insurance plan, and overpayment based on qualifications.
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 AWS hands-on experience
- Proficiency with Apache Spark
- Strong Python experience for backend development
- Expert-level SQL for data processing and analytics
- Hands-on experience with Docker
- Hands-on experience with Terraform
- Hands-on experience with CI/CD pipelines
- Commitment to writing clean, maintainable code
- Comprehensive testing experience
- Deep knowledge of analytics/reporting requirements
- Experience designing scalable data architectures
- Data modeling experience
- Experience optimizing data processing workflows
- Experience creating analytics dashboards
- Experience managing analytics dashboards
- Experience with data visualization solutions
- Experience with contextual AI tools
- Experience with prompt engineering
- Willingness to learn and grow
Aufgaben
- Process and analyze terabytes of advertising data
- Build and maintain robust ETL pipelines using Spark and AWS
- Design and build scalable data processing systems
- Develop backend APIs and microservices in Python or Go
- Architect data flows for batch and real-time analytics
- Manage user-facing dashboards for complex data visualization
- Implement monitoring and alerting systems for data quality
- Manage AWS infrastructure with Terraform
- Implement CI/CD best practices
- Maintain high coding standards in data processing systems
- Lead large-scale data projects from requirements to delivery
- Bridge technical implementation with business requirements
- Mentor team members
- Present technical concepts to stakeholders
- Challenge requirements constructively
- Ensure high availability and accuracy for stakeholders and clients
- Champion clean code principles
- Serve as a knowledge leader in data solutions
Berufserfahrung
- 5 Jahre
Ausbildung
- Bachelor-AbschlussODER
- Master-Abschluss
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- AWS
- S3
- Lambda
- Glue
- Athena
- Redshift
- EMR
- Apache Spark
- Python
- SQL
- Docker
- Terraform
- CI/CD
- Tableau
- Qlik Sense
- Quicksuite
- Power BI
- GitHub Copilot
- Claude
Benefits
Sonstige Vorteile
- 3 days in office
- Insurance plan
- Women in Tech group
- Pride group
- Social aspects
Betriebliche Altersvorsorge
- Retirement pension
Attraktive Vergütung
- Overpayment based on qualifications
Lockere Unternehmenskultur
- Collaborative environment
Weiterbildungsangebote
- Professional and personal development plan
Karriere- und Weiterentwicklung
- Career development
Gesundheits- & Fitnessangebote
- Sports
- Physical exercise
Abwechslungsreiche Aufgaben
- ShipIt challenges
Team Events & Ausflüge
- Office sports tournaments
- Beer brewing competitions
Öffi Tickets
- Öffi-Ticket (Jahreskarte) covered
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.
Gefällt dir diese Stelle?
BetaDein Career Agent findet täglich ähnliche Jobs für dich.
Über das Unternehmen
Sportradar
Branche
Other
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?
- Capgemini
(Senior) Data Engineer (Databricks/Snowflake)(m/w/x)
Vollzeitmit HomeofficeBerufserfahrenWien, Grazab 60.000 / Jahr - Sportradar
Senior Data Scientist(m/w/x)
Vollzeitmit HomeofficeSeniorWien - Simon-Kucher
Senior Consultant Data Engineering(m/w/x)
Vollzeitmit HomeofficeSeniorWienab 71.000 / Jahr - Auvaria
Senior Cloud Consultant - Data & AI Engineer(m/w/x)
Vollzeitmit HomeofficeSeniorWien, Hamburg