Job
- Level
- Senior
- Job Feld
- BI, Data
- Anstellung
- Vollzeit
- Vertragsart
- Unbefristetes Dienstverhältnis
- Ort
- Wien
- Arbeitsmodell
- Hybrid, Onsite
Job Zusammenfassung
In diesem Job entwickelst du komplexe Datenpipelines und ETL-Prozesse mit AWS und Spark, um Terabyte von Werbeanalysedaten in Echtzeit zu verarbeiten und Dashboard-Lösungen zur Visualisierung von Geschäftseinblicken zu erstellen.
Job Technologien
Deine Rolle im 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: 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.
Unsere Erwartungen an dich
Qualifikationen
- Clean Code Advocate: Strong commitment to writing clean, maintainable, well-documented code with comprehensive testing and deep knowledge of analytics/reporting requirements.
Erfahrung
- 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.
Unser Angebot
- A collaborative environment with colleagues from all over the world (Engineering offices in Europe, Asia and 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 takes over the full costs of € 365.- for the Öffi-Ticket (Jahreskarte) for you.
- While we value the opportunities to work from home, we truly believe that being together, and sharing ideas, opportunities, trials and tribulations with teammates make us stronger and more innovative – individually and as a company.
- We strengthen the fibers of our Company each and every day, just by being together.
- For this reason, we operate a hybrid model where we are in the office 3 days a week.
Benefits
Gesundheit, Fitness & Fun
- 🏋🏿♂️Fitness Angebote
- 👨🏻🎓Paten- & Mentor- Programm
- 👩⚕️Betriebsarzt
- ⚽️Tischkicker o. Ä.
- 🚲Fahrradabstellplatz
- 🎳Team Events
Work-Life-Integration
Mehr Netto
Essen & Trinken
Themen mit denen du dich im Job beschäftigst
Job Standorte
Das ist dein Arbeitgeber
Sportradar Media Services GmbH
Leonding, Wien, Gera, Bremen
Die Sportradar-Gruppe ist eine internationale Organisation, die mehr als 1.900 Mitarbeiter an mehr als 30 Standorten weltweit beschäftigt (u.a. in Ljubljana, Minneapolis, München, Oslo, Trondheim und Warschau). Wir nehmen eine führende Position im Bereich der Schnittstelle zwischen Sport-, Medien- und Wettbranche ein und betreiben auch LAOLA1.at und LAOLA1.tv – Österreichs größte Sportnetzwerke. Trotz vollem Einsatz kommt bei uns der Spaß nicht zu kurz - wir legen großen Wert auf Teamgeist!
Description
- Unternehmensgröße
- 250+ Employees
- Gründungsjahr
- 2001
- Sprachen
- Deutsch, Englisch
- Unternehmenstyp
- Etablierte Firma
- Arbeitsmodell
- Full Remote, Hybrid, Onsite
- Branche
- Werbung, Marketing, PR, Sport, Freizeit, Medien, Verlagswesen, Internet, IT, Telekom
Dev Reviews
by devworkplaces.com
Gesamt
(3 Bewertungen)4.0
Engineering
3.6Career Growth
3.8Culture
4.3Workingconditions
4.3
Senior Software Engineer Data
- Ort
- Wien
- Arbeitsmodell
- Hybrid, Onsite
- Diversität
- Für alle Personen geeignet (m/w/d)
- Nur Englisch
- Nur Englisch erforderlich
