Data Observability Engineer (m/f/n), Esch-sur-Alzette

Are you interested in pursuing a career in an exciting field and an innovative company? Enovos, a member of the Encevo group, is constantly on the look out for talented individuals that the group is committed to mentoring and developing in order to allow for professional and personal growth.

Working for Enovos means working for a committed and visionary employer that plays an active role in the energy transition, creating sustainable and innovative perspectives while looking after the interests of its employees and partners.

Tasks

• You develop and implement data observability solutions to ensure high-quality, reliable, and well-monitored data pipeline
• You monitor, detect, and alert on data issues, proactively identifying anomalies, inconsistencies, and missing information
• You work closely with data teams to optimize data pipelines and troubleshoot performance or quality concerns
• You define key data health metrics and maintain comprehensive documentation for transparency and traceability
• You leverage automation and AI-driven tools where beneficial to enhance data monitoring and anomaly detection

Profile

• You hold a university degree in Computer Science, Data Engineering or equivalent
• You have 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) or equivalent monitoring solutions
• You are proficient in SQL and Python. Experience in nodejs is a plus
• Strong analytical and problem-solving skills to proactively detect and resolve data issues
• You show a high level of engagement and initiative
• Highly effective verbal and written communication skills in English. A good knowledge of German and/or French will be considered as an advantage