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Senior Software Engineer Data

New

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

    Work-Life-Integration

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    Food & Drink

    Job Locations

    Map of company locations
    • Location Vienna

      Hosnedlgasse 25

      1220 Wien

      Austria

    Topics that you deal with on the job

    This is your employer

    Sportradar Media Services GmbH

    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
    • Workingconditions

      4.3
    • Culture

      4.3
    • Career Growth

      3.8
    • Engineering

      3.6
    All Dev Reviews on devworkplaces.com
    Logo Sportradar Media Services GmbH

    Senior Software Engineer Data

    Location
    Vienna
    Working Model
    Hybrid, Onsite
    Diversity
    Open for all genders
    English Only
    English only required

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