Job
- Level
- Senior
- Job Field
- BI, Data
- Employment Type
- Full Time
- Contract Type
- Permanent employment
- Location
- Vienna
- Working Model
- Hybrid, Onsite
Job Summary
In this role, you will take ownership of complex data projects, develop robust ETL pipelines using AWS and Spark, optimize data architectures, and lead the team in delivering successful data solutions.
Job Technologies
Your role in the team
ABOUT THE TEAM The Ads Analytics team is the backbone of our advertising intelligence platform, processing terabytes of data daily from programmatic, social, and search advertising channels.
We build end-to-end solutions that transform raw advertising data into actionable business insights and leverage rich analytics data to create sophisticated sport audience segments.
THE CHALLENGE We're scaling rapidly and need a senior data engineer who can take ownership of complex, multi-faceted data projects.
You'll be tackling challenges like:
- Scale & Performance Engineering: Processing and analyzing terabytes of advertising data with sub-second query performance while building and maintaining robust ETL pipelines using Spark and AWS services to handle massive data volumes daily.
- Data Pipeline Architecture & Development: Designing and building scalable data processing systems, developing backend APIs and microservices (Python or Go), architecting data flows that support both batch and real-time analytics requirements, and managing user-facing dashboards that visualize complex data insights.
- Infrastructure & Data Quality Operations: Implementing robust monitoring and alerting systems to detect data quality issues, managing AWS infrastructure using Terraform, implementing CI/CD best practices, and maintaining high coding standards across data processing systems.
- Cross-Functional Leadership & Collaboration: Leading large-scale data projects from requirements gathering through delivery, bridging technical implementation with business requirements, mentoring team members, and presenting technical concepts to stakeholders while challenging requirements constructively.
- End-to-End Data System Ownership: Taking complete ownership of complex data engineering projects while ensuring high availability and accuracy for both internal stakeholders and external clients, championing clean code principles, and serving as a knowledge leader who supports delivering the right data solutions.
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Our expectations of you
Qualifications
- Clean Code Advocate: Strong commitment to writing clean, maintainable, well-documented code with comprehensive testing and deep knowledge of analytics/reporting requirements.
Experience
- ABOUT YOU 5+ years of data engineering experience with proven track record of leading complex data projects from conception to delivery.
- Exceptional communication skills and experience working in cross-functional teams with analysts, product managers, and business stakeholders.
- AWS & Data Engineering: Very strong hands-on experience with AWS services (S3, Lambda, Glue, Athena, Redshift, EMR, etc.) and proficiency with Apache Spark for large-scale data processing.
- Backend Development: Strong experience with Python for building data processing services and APIs, plus expert-level SQL for data processing and analytics.
- Infrastructure & DevOps: Hands-on experience with Docker, Terraform, and CI/CD pipelines with automation best practices for data systems.
- Data Architecture: Experience designing scalable data architectures, data modeling, and optimizing data processing workflows.
- Dashboard Development: Experience creating and managing analytics dashboards in BI tools (Tableau, Qlik Sense, Quicksuite, Power BI) and data visualization solutions to present complex insights to stakeholders.
- GenAI Tools (beneficial): Experience working with contextual and prompt engineering with GitHub Copilot, Claude, or similar AI assistants.
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Benefits
Health, Fitness & Fun
- 🏋🏿♂️Fitness Offers
- 👨🏻🎓Mentor Program
- 👩⚕️Company Doctor
- ⚽️Tabletop Soccer, etc.
- 🚲Bicycle Parking Space
- 🎳Team Events
Work-Life-Integration
More net
Food & Drink
Job Locations
Topics that you deal with on the job
This is your employer
Sportradar Media Services GmbH
Leonding, Wien, Gera, Bremen
At Sportradar, we have more than 1,900 employees working at more than 30 locations worldwide (including Ljubljana, Minneapolis, Munich, Oslo, Trondheim and Warsaw). We occupy a unique position at the intersection of sport, media and gaming industries. In addition to our core business operations we also operate LAOLA1.at and LAOLA1.tv – Austria's largest sports networks. Despite our full dedication to work , fun and teamwork are never far from us.
Description
- Company Size
- 250+ Employees
- Founding year
- 2001
- Language
- German, English
- Company Type
- Established Company
- Working Model
- Full Remote, Hybrid, Onsite
- Industry
- Advertising, Marketing, PR, Sports, Leisure, Media, Publishing, Internet, IT, Telecommunication
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(3 Reviews)Workingconditions
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3.6