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.
Job DescriptionOWNERSHIP 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
Additional InformationDue 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.
Skills Required
- University degree in Computer Science, Software Engineering, Data Science, Data Engineering, Information Systems or 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 (BigQuery, Snowflake)
- 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
Red Bull Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Red Bull and has not been reviewed or approved by Red Bull.
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Healthcare Strength — Health coverage is characterized by comprehensive medical, dental, and vision plans alongside robust mental health access, including up to 25 free coaching/therapy sessions and digital physical therapy. Wellness initiatives such as gym subsidies, on-site fitness classes, and Fit For Flight further enhance overall healthcare value.
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Parental & Family Support — Family supports include paid family leave, incentives for healthy pregnancies, coverage for doulas/midwives, free breast milk shipment, and caregiving resources like subsidized back-up care. Adoption and surrogacy reimbursement up to $25,000 and parenting support tools broaden accessibility across family stages.
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Leave & Time Off Breadth — Paid time off is positioned as generous, typically ranging from 20–30 days annually, with Red Bull North America noted at 36 days. A paid holiday schedule complements vacation and leave options.
Red Bull Insights
What We Do
Red Bull Gives Wiiings to People and Ideas. This has driven us – and all we do – since 1987. Today, Red Bull operates in over 170 countries, selling more than 12 billion cans annually and growing! Above all, our people remain the essential ingredient in bringing the Red Bull brand to life. Check out our open roles to become part of the world of Red Bull. Most jobs take energy, ours give it. Check out our open roles to become part of the world of Red Bull – jobs.redbull.com
