Capgemini
(Senior) Data Engineer (Databricks/Snowflake)(m/w/x)
Full-timeWith HomeofficeExperienced
Wien, Graz
from 60,000 / year
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SPSportradar
Senior Software Engineer, Data(m/w/x)
Wien
Full-timeWith Home OfficeSenior
AI/ML
Nejo AI Summary
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.
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 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
Tasks
- 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
Work Experience
- 5 years
Education
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- 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
Other Benefits
- 3 days in office
- Insurance plan
- Women in Tech group
- Pride group
- Social aspects
Retirement Plans
- Retirement pension
Competitive Pay
- Overpayment based on qualifications
Informal Culture
- Collaborative environment
Learning & Development
- Professional and personal development plan
Career Advancement
- Career development
Healthcare & Fitness
- Sports
- Physical exercise
Diverse Work
- ShipIt challenges
Team Events
- Office sports tournaments
- Beer brewing competitions
Public Transport Subsidies
- Öffi-Ticket (Jahreskarte) covered
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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Not a perfect match?
- Simon-Kucher
Senior Consultant Data Engineering(m/w/x)
Full-timeWith HomeofficeSeniorWienfrom 71,000 / year - Sportradar
Senior Data Scientist(m/w/x)
Full-timeWith HomeofficeSeniorWien
SPSportradar
Senior Software Engineer, Data(m/w/x)
Wien
Full-timeWith Home OfficeSenior
AI/ML
Nejo AI Summary
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.
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 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
Tasks
- 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
Work Experience
- 5 years
Education
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- 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
Other Benefits
- 3 days in office
- Insurance plan
- Women in Tech group
- Pride group
- Social aspects
Retirement Plans
- Retirement pension
Competitive Pay
- Overpayment based on qualifications
Informal Culture
- Collaborative environment
Learning & Development
- Professional and personal development plan
Career Advancement
- Career development
Healthcare & Fitness
- Sports
- Physical exercise
Diverse Work
- ShipIt challenges
Team Events
- Office sports tournaments
- Beer brewing competitions
Public Transport Subsidies
- Öffi-Ticket (Jahreskarte) covered
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.
Like this job?
BetaYour Career Agent finds similar jobs for you every day.
About the Company
Sportradar
Industry
Other
Description
The company is a worldwide leader in sports data and audiovisual services for bookmakers, offering data-driven marketing services for betting operators.
Not a perfect match?
- Capgemini
(Senior) Data Engineer (Databricks/Snowflake)(m/w/x)
Full-timeWith HomeofficeExperiencedWien, Grazfrom 60,000 / year - Simon-Kucher
Senior Consultant Data Engineering(m/w/x)
Full-timeWith HomeofficeSeniorWienfrom 71,000 / year - Sportradar
Senior Data Scientist(m/w/x)
Full-timeWith HomeofficeSeniorWien