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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. 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. Your areas of knowledge and expertise that matter most for this role: 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.
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.
