> Markdown version of [/jobs/ext/3998432-senior-data-engineer](https://www.wearedevelopers.com/jobs/ext/3998432-senior-data-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Data Engineer - **Company:** Sportradar Austria - **Location:** Wien, Austria - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Clean Code Principles, Query Performance, Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Amazon S3, Big Data, Continuous Delivery, Continuous Integration, Data Architecture, Information Engineering, Extract Transform Load (ETL), Data Systems, Data Visualization, Python (Programming Language), Power BI, SQL Databases, Data Streaming, System Testing, Tableau (Software), Qliksense, Data Processing, GitHub Copilot, System Availability, Prompt Engineering, Apache Spark, Generative AI, Backend, Claude, Terraform, Data Pipelines, Docker, Web Api, Microservices - **Published:** October 29, 2026 - **Apply:** https://jobs.smartrecruiters.com/Sportradar/744000158455300-senior-data-engineer?trid=70ddbb30-9031-45ec-88f2-810938db1ab3 ## About the Role * 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 ## Description 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, We believe great products are built by great teams working closely together. While we offer flexible working hours, this role is fully office-based, as we strongly value in-person collaboration, knowledge sharing, fast decision-making, and team connection. We see working together onsite as a key driver of innovation, learning, and success. Certain exemptions may apply depending on location - your local point of contact can provide further details. The minimum monthly salary for this position is according to the Collective Bargaining Agreement. Overpayment will be considered depending on qualifications and working experience.