Senior Data Engineer: Scale Big Data & Real-Time Analytics

Sportradar; Wien; On-site; EUR 90,000 - 130,000; Full time

Benefits offered by this job

Retirement plan

Insurance package

Annual transport pass

Job summary

Sportradar is seeking a senior data engineer to own complex data projects in a fast-paced, office-based setup in Austria. You will scale terabytes of advertising data, build ETL pipelines with Spark on AWS, and design scalable data architectures.

You will lead cross‑functional teams, mentor colleagues, and deliver robust analytics solutions for internal and external stakeholders. The role emphasizes clean code, CI/CD, and collaboration with analytics, product, and business teams, with a focus on

Qualifications

• 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.
• Clean Code Advocate: Strong commitment to writing clean, maintainable, well-documented code with comprehensive testing and deep knowledge of analytics/reporting requirements.
• 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.

Responsibilities

• Scale & Performance Engineering: Processing terabytes of advertising data with sub-second query performance while building and maintaining robust ETL pipelines using Spark and AWS services.
• Data Pipeline Architecture & Development: Designing scalable data processing systems, developing backend APIs and microservices (Python or Go), architecting data flows for batch and real-time analytics, and managing dashboards.
• Infrastructure & Data Quality Operations: Implementing monitoring and alerting systems to detect data quality issues, managing AWS infrastructure using Terraform, implementing CI/CD, and maintaining high coding standards.
• Cross-Functional Leadership & Collaboration: Leading large-scale data projects from requirements gathering through delivery, mentoring team members, and presenting technical concepts to stakeholders.
• End-to-End Data System Ownership: Taking ownership of complex data projects with high availability and accuracy for internal and external stakeholders.

Skills

AWS

Spark

Python

SQL

Data pipelines

Data architecture

DevOps

CI/CD

Docker

Terraform

Clean code

Dashboard development

GenAI tools

Tools

S3

Glue

Athena

Redshift

EMR

Tableau

Power BI

Job description

Sportradar is seeking a senior data engineer to own complex data projects in a fast-paced, office-based setup in Austria. You will scale terabytes of advertising data, build ETL pipelines with Spark on AWS, and design scalable data architectures.

You will lead cross‑functional teams, mentor colleagues, and deliver robust analytics solutions for internal and external stakeholders. The role emphasizes clean code, CI/CD, and collaboration with analytics, product, and business teams, with a focus on