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Salary
$35k per year (gross)
Location
In office (Salzburg)
Seniority
Senior · 5+ years exp
Employment
Full-Time
Overview
Company
Impact
Profile match
Red Bull is a global beverage company best known for its iconic energy drink that serves as a brand centerpiece for a wide-ranging lifestyle marketing strategy. The organization heavily invests in extreme sports, music, and high-profile athletic sponsorships, effectively positioning itself as a media and event powerhouse rather than just a drink manufacturer. Through its extensive portfolio of sports teams and creative content production, it maintains a unique cultural identity that prioritizes high-energy experiences and adrenaline-fueled storytelling.

As Senior Data Engineer, you take full co-ownership of TV-Insight’s data infrastructure, ensuring that all data relevant for measurement, extrapolation, ad targeting, and reporting is accurate, timely, and efficiently processed.

You bring a strong understanding of data and how it flows through complex systems, ideally from a field producing continuous usage data. You're equally comfortable with reasoning and designing data structures and flows, as you are writing and maintaining the necessary data pipelines. In this role, you'll help shape the evolution of the TV-Insight technology ecosystem, building a data platform that enables reliable insights and self-service analytics.

OWNERSHIP OF DATA INFRASTRUCTURE AND PIPELINES

You build it, you run it. When something breaks, you're the one who gets the call-and the one who fixes it. You know your code inside out, and you understand exactly what goes in and what comes out of every pipeline you own.

AUTOMATION & PROCESS OPTIMIZATION

You hunt down and eliminate manual operations wherever they appear. By developing CI/CD-based automation and reducing operational overhead across the pipeline, you keep data operations lean, scalable, and reliable.

DATA QUALITY MANAGEMENT

You define and enforce data validation rules and performance metrics, and proactively identify, analyze, and resolve data inconsistencies. You drive continuous improvements in data integrity and completeness, ensuring stakeholders can rely on data for critical decisions.

COLLABORATION & CROSS-TEAM ENABLEMENT

You partner with data scientists and analysts to ensure data reliability for modeling, experimentation, and reporting. Because your pipelines touch every discipline, close collaboration across teams isn't optional-it's how you ensure the data serves everyone who depends on it.

University degree in Computer Science, Software Engineering, Data Science, Data Engineering, Information Systems or a related field

5+ years of experience in data engineering, data quality, or pipeline automation

Strong coding knowledge with focus on Data Processing

Experience with SQL and data warehouse concepts (BQ, Snowflake)

Ideally, first experiences with Rust

Solid understanding of data validation, monitoring, and alerting frameworks

Analytical mindset with strong attention to detail

Strong communication skills and a team-oriented attitude

Due to legal reasons we are obliged to disclose the minimum salary according to the collective agreement for this position, which is EUR 2,509 gross per month. However, our attractive compensation package is based on market-oriented salaries and is therefore significantly above the stated minimum salary.

As an employer, we value diversity and support people in developing their potential and strengths, realizing their ideas and seizing opportunities. We believe passionately that employing a diverse workforce is central to our success. We welcome applications from all members of society irrespective of age, skin colour, religion, gender, sexual orientation or origin.

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