Senior Data Engineer: Real-Time Analytics on AWS

Sportradar; Wien; Vor Ort; EUR 90.000 - 120.000; Vollzeit

Benefits dieser Stelle

Competitive salary

Öffi-Ticket coverage

Career development plan

Diversity & inclusion

Zusammenfassung

Sportradar in Vienna, Austria, is seeking a senior data engineer to own end-to-end analytics platforms across programmatic channels and dashboards. You’ll design scalable data architectures, build robust data pipelines with Spark and AWS, and collaborate with analysts, product managers and stakeholders to deliver actionable insights.

You will lead complex projects, mentor teammates, and ensure data quality and high availability while delivering clean code and scalable solutions in a fast-growing

Qualifikationen

• 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
• GenAI Tools (beneficial): Experience working with contextual and prompt engineering with GitHub Copilot, Claude, or similar AI assistants

Aufgaben

• 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

Kenntnisse

Data engineering

AWS

Python

SQL

Spark

Go

CI/CD

Tools

Spark

Python

AWS

Terraform

Docker

CI/CD

Jobbeschreibung

Sportradar in Vienna, Austria, is seeking a senior data engineer to own end-to-end analytics platforms across programmatic channels and dashboards. You’ll design scalable data architectures, build robust data pipelines with Spark and AWS, and collaborate with analysts, product managers and stakeholders to deliver actionable insights.

You will lead complex projects, mentor teammates, and ensure data quality and high availability while delivering clean code and scalable solutions in a fast-growing