Senior Data Engineer

Sportradar; Wien; Vor Ort; EUR 90.000 - 130.000; Vollzeit

Benefits dieser Stelle

Retirement plan

Insurance package

Annual transport pass

Zusammenfassung

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

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.
• 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.

Aufgaben

• 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.

Kenntnisse

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

Jobbeschreibung

We’re the world’s leading sports technology company, at the intersection between sports, media, and betting. More than 1,700 sports federations, media outlets, betting operators, and consumer platforms across 120 countries rely on our know-how and technology to boost their business.

Job Description

ABOUT US: 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

ABOUT YOU

• 5+ yearsof data engineering experience with proven track record ofleading complex data projectsfrom conception to delivery
• Exceptional communication skillsand experience working incross-functional teamswith 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 withApache Sparkfor large-scale data processing
• Backend Development: Strong experience withPythonfor building data processing services and APIs, plus expert-levelSQLfor data processing and analytics
• Infrastructure & DevOps: Hands-on experience withDocker,Terraform, andCI/CD pipelineswith 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

OUR OFFER:

Acollaborative environmentwith colleagues from all over the world (Engineering offices in Europe, Asia and US)

Ability toshape your own workday and careervia a clearly defined professional and personal development plan

Opportunity to work with senior leadership, develop yourself andbuild your careerwithin an inspiring and fast-growing company and digital sports environment.

Avibrant and inclusive community,includingWomen in Tech and Pridegroups which welcome all participants

Acompany culturethat promotes social aspects, sports, physical exercise and fun.

Innovative andcross-teamchallenges likeShipIt, office sports tournaments in Darts and Table Tennis and unique beer brewing competitions.

Competitivesalary and benefits(e.g. retirement pensionandinsuranceplan)

Sportradar takes over the full costs of € 365.- for the Öffi-Ticket(Jahreskarte)for you

OUR RECRUITMENT PROCESS:

Initial Screening: A quick chat with our Talent Acquisition Partner to understand your background and expectations.

Technical: Theoretical Interview:60 minutes to discuss your technical skills on the theoretical level with the technical team.

Technical: Coding Interview:60 minutes of live coding where we do not access the end result but rather the candidate's approach (clean code and thinking process).

System Design Interview:60 minutes to solve a high-level problem with certain requirements.

Final Steps:Receive final feedback while onsite visit might be requested and, if successful, an offer!

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.

Additional Information

The minimum monthly salary for this position is according to the Collective Bargaining Agreement. Overpayment will be considered depending on qualifications and working experience.

At Sportradar, we celebrate our diverse group of hardworking employees. Sportradar is committed to ensuring equal access to its programs, facilities, and employment opportunities. All qualified applicants will receive consideration for employment without regard to age, race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. We encourage you to apply even if you only meet most of the requirements (but not 100% of the listed criteria) – we believe skills evolve over time. If you’re willing to learn and grow with us, we invite you to join our team!