Data Observability Engineer (m / f / n)

Enovos; Ralingen; Hybrid; EUR 60.000 - 80.000; Vollzeit

Zusammenfassung

A leading energy company is looking for a Data Observability Engineer to develop solutions ensuring the quality and reliability of data pipelines. This role involves collaborating with data teams to monitor data health, detect issues, and optimize performance using modern tools. Candidates should have 5+ years of data engineering experience and expertise in SQL and Python. The position offers a competitive salary, hybrid working mode, and additional benefits for enhancing career development.

Leistungen

Pension plan

Additional health insurance

Free parking

Meal vouchers

Company restaurant

Qualifikationen

• At least 5 years of experience as a data engineer.
• Strong understanding of data engineering concepts and cloud data platforms.
• Experience with monitoring solutions is beneficial.

Aufgaben

• Develop and implement data observability solutions.
• Monitor, detect, and alert on data issues.
• Collaborate to optimize data pipelines.

Kenntnisse

SQL

Python

Data observability tools

Analytical skills

Problem-solving

Ausbildung

University degree in Computer Science, Data Engineering or equivalent

Tools

OpenMetaData

Data Contract CLI

Monte Carlo

Great Expectations

Soda

Jobbeschreibung

Data Observability Engineer (m / f / n)

Department: Energy Business IT | Location: Esch-sur-Alzette | Contract: Permanent | Job Requisitions N°19666

At Enovos, we recognize the critical role data quality and observability plays in driving business decisions. We are seeking a Data Observability Engineer to ensure the accuracy, consistency, and trustworthiness of our data.

In this role, you will collaborate with data engineers, analysts and business stakeholders to monitor, improve and maintain data health while leveraging modern tools and automation where applicable.

Your 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

Your 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

What we offer

“Together we build the future of Luxembourg’s energy transition”.

• The opportunity to join a Group that actively shapes the energy transition in Luxembourg and the Greater Region
• A multicultural and international working environment that encourages diversity and inclusion
• A competitive salary with many additional benefits (e.g. pension plan, additional health insurance, free parking, meal vouchers, company restaurant, etc.)
• Continuous learning and development career path adapted to the needs of each employee
• Hybrid working mode with the possibility to work from home

For external applications, a recent copy of the police record will be requested if you are invited for an interview.