> Markdown version of [/jobs/ext/2275503-data-engineer-tv-insight](https://www.wearedevelopers.com/jobs/ext/2275503-data-engineer-tv-insight). 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).

---

# Data Engineer - TV Insight

- **Company:** Tv-insight
- **Location:** Elsbethen, Austria
- **Experience:** Expert
- **Salary:** €35,126.0
- **Contract:** Permanent contract
- **Skills:** Information Systems, Computer Programming, Continuous Integration, Data Validation, Information Engineering, Data Infrastructure, Data Integrity, Data Structures, Data Warehousing, DataOps, Software Engineering, SQL Databases, Data Processing, Delivery Pipeline, Snowflake, Information Technology, Data Inconsistencies, Data Pipelines
- **Published:** August 28, 2026
- **Apply:** https://itjobsaustria.at/u/jobs/submit-application/12600/Senior-Data-Engineer-TV-Insight?contact_mail=info%40redbull.com&job_title=Senior+Data+Engineer+-+TV+Insight

## About the Role

Your areas of knowledge and expertise, * 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
 * Travel: 0 %

## Description

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.

RESPONSIBILITIES

Areas that play to your strengths

All the responsibilities we'll trust you with:

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.


## Related Videos

- [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works)
- [Fault Tolerance and Consistency at Scale: Harnessing the Power of Distributed SQL Databases](https://www.wearedevelopers.com/videos/1146-fault-tolerance-and-consistency-at-scale-harnessing-the-power-of-distributed-sql-databases)
- [How Cisco embraced a DevOps culture within its network engineering team](https://www.wearedevelopers.com/videos/99-how-cisco-embraced-a-devops-culture-within-its-network-engineering-team)
- [Enjoying SQL data pipelines with dbt](https://www.wearedevelopers.com/videos/823-enjoying-sql-data-pipelines-with-dbt)
- [Beyond SQL Generation: How to Teach Agents What Your Database Actually Means](https://www.wearedevelopers.com/videos/100127-beyond-sql-generation-how-to-teach-agents-what-your-database-actually-means)
- [TiDB, One Layer at a Time: How Distributed SQL Became an Agentic AI Backbone](https://www.wearedevelopers.com/videos/100117-tidb-one-layer-at-a-time-how-distributed-sql-became-an-agentic-ai-backbone)

## Related Articles

- [The Most Popular IT Jobs on the Market](https://www.wearedevelopers.com/magazine/376-the-most-popular-it-jobs-on-the-market)
- [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk)
- [The 12 Best Jobs for Software Engineers](https://www.wearedevelopers.com/magazine/401-the-12-best-jobs-for-software-engineers)
- [Top-Paying Tech Jobs (with Salaries)](https://www.wearedevelopers.com/magazine/372-top-paying-tech-jobs-with-salaries)
- [Best Countries for Software Engineers](https://www.wearedevelopers.com/magazine/267-best-countries-for-software-engineers)
- [Is Software Engineering Over-Saturated?](https://www.wearedevelopers.com/magazine/418-is-software-engineering-over-saturated)