Job
- Level
- Senior
- Job Field
- Data, Back End
- Employment Type
- Full Time
- Contract Type
- Permanent employment
- Location
- Vienna
- Working Model
- Onsite
Job Summary
In this role, you will develop complex ETL pipelines and data APIs, optimize data architectures, and clean large datasets using AWS and Spark for our analytics platform.
Job Technologies
Your role in 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.
- 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 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.
- 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.
- 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.
- 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.
- 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
- Strong commitment to writing clean, maintainable, well-documented code with comprehensive testing and deep knowledge of analytics/reporting requirements.
Experience
- 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.
- 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.
- Strong experience with Python for building data processing services and APIs, plus expert-level SQL for data processing and analytics.
- Hands-on experience with Docker, Terraform, and CI/CD pipelines with automation best practices for data systems.
- Experience designing scalable data architectures, data modeling, and optimizing data processing workflows.
- 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.
- Experience working with contextual and prompt engineering with GitHub Copilot, Claude, or similar AI assistants (beneficial).
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What we offer
- A collaborative environment with colleagues from all over the world (Engineering offices in Europe, Asia, and the US).
- Ability to shape your own workday and career via a clearly defined professional and personal development plan.
- Opportunity to work with senior leadership, develop yourself and build your career within an inspiring and fast-growing company and digital sports environment.
- A vibrant and inclusive community, including Women in Tech and Pride groups which welcome all participants.
- A company culture that promotes social aspects, sports, physical exercise, and fun.
- Innovative and cross-team challenges like ShipIt, office sports tournaments in Darts and Table Tennis, and unique beer brewing competitions.
- Competitive salary and benefits (e.g., retirement pension and insurance plan).
- Sportradar covers the full cost of €365 for the Öffi-Ticket (annual pass) for you.
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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
Topics that you deal with on the job
Job Locations
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
Dev Reviews
by devworkplaces.com
Total
(3 Reviews)4.0
Engineering
3.6Career Growth
3.8Workingconditions
4.3Culture
4.3
Senior Software Engineer - Data
- Location
- Vienna
- Working Model
- Onsite
- Diversity
- Open for all genders
- English Only
- English only required
