Erste Group
Databricks Platform Engineer(m/w/x)
Full-timeOn-siteExperienced
Wien
from 52,136 / year
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Processing terabytes of advertising data and building ETL pipelines with Spark on AWS. 5+ years data engineering experience required. Retirement pension, insurance plan, and professional development.
Requirements
- 5+ years data engineering experience
- Proven track record leading complex data projects
- Exceptional communication skills
- Experience working in cross-functional teams
- Very strong hands-on AWS 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 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 insights
- Implement monitoring and alerting systems for data quality
- Manage AWS infrastructure with Terraform
- Implement CI/CD best practices
- Maintain high coding standards
- Lead large-scale data projects from requirements to delivery
- Bridge technical implementation with business needs
- Mentor team members
- Present technical concepts to stakeholders
- Challenge requirements constructively
- Ensure high availability and accuracy of data solutions
- Champion clean code principles
- Support delivering the right 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
Retirement Plans
- Retirement pension
Other Benefits
- Insurance plan
- Women in Tech group
- Pride group
Informal Culture
- Collaborative environment
- Vibrant and inclusive community
- Company culture promoting social aspects
Learning & Development
- Professional and personal development plan
Startup Environment
- Opportunity to work with senior leadership
- Inspiring and fast-growing company
- Digital sports environment
Healthcare & Fitness
- Sports and physical exercise
Team Events
- Fun company events
- Office sports tournaments
- Beer brewing competitions
Diverse Work
- Innovative and cross-team challenges
Public Transport Subsidies
- Company-paid 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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Processing terabytes of advertising data and building ETL pipelines with Spark on AWS. 5+ years data engineering experience required. Retirement pension, insurance plan, and professional development.
Requirements
- 5+ years data engineering experience
- Proven track record leading complex data projects
- Exceptional communication skills
- Experience working in cross-functional teams
- Very strong hands-on AWS 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 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 insights
- Implement monitoring and alerting systems for data quality
- Manage AWS infrastructure with Terraform
- Implement CI/CD best practices
- Maintain high coding standards
- Lead large-scale data projects from requirements to delivery
- Bridge technical implementation with business needs
- Mentor team members
- Present technical concepts to stakeholders
- Challenge requirements constructively
- Ensure high availability and accuracy of data solutions
- Champion clean code principles
- Support delivering the right 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
Retirement Plans
- Retirement pension
Other Benefits
- Insurance plan
- Women in Tech group
- Pride group
Informal Culture
- Collaborative environment
- Vibrant and inclusive community
- Company culture promoting social aspects
Learning & Development
- Professional and personal development plan
Startup Environment
- Opportunity to work with senior leadership
- Inspiring and fast-growing company
- Digital sports environment
Healthcare & Fitness
- Sports and physical exercise
Team Events
- Fun company events
- Office sports tournaments
- Beer brewing competitions
Diverse Work
- Innovative and cross-team challenges
Public Transport Subsidies
- Company-paid 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.
Like this job?
BetaYour Career Agent finds similar jobs for you every day.
About the Company
Sportradar
Industry
IT
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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