Driving Data Excellence
We recognize the significance of data quality and observability in informing business decisions. Our goal is to ensure accurate, consistent, and trustworthy data.
In this role, you will collaborate with teams to monitor, enhance, and maintain data health while leveraging modern tools and automation.
* You develop and implement solutions to ensure high-quality, reliable, and well-monitored data pipeline
* Monitor, detect, and alert on data issues, proactively identifying anomalies, inconsistencies, and missing information
* Work closely with teams to optimize data pipelines and troubleshoot performance or quality concerns
* Define key data health metrics and maintain comprehensive documentation for transparency and traceability
* Leverage automation and AI-driven tools to enhance data monitoring and anomaly detection
Requirements
* University degree in Computer Science, Data Engineering, or equivalent field
* At least 5 years of experience as a data engineer with strong understanding of data engineering concepts, data pipelines, and cloud data platforms
* Experience with data observability tools (e.g., OpenMetaData, Data Contract CLI, Monte Carlo Great Expectations, Soda)
* Proficient in SQL and Python; experience in Node.js is a plus
* Strong analytical and problem-solving skills to proactively detect and resolve data issues
* Show a high level of engagement and initiative
* Highly effective verbal and written communication skills in English; good knowledge of German and/or French is an advantage
What We Offer
* Opportunity to work with cutting-edge technologies and innovative approaches to data management
* Collaborative and dynamic work environment that fosters growth and learning
* Chance to make a meaningful impact on our organization's success and drive business outcomes through data excellence