Data Reliability Engineer: Data Quality, Ops & Release

Capital Fund Management (CFM); Paris; Sur place; EUR 85 000 - 110 000; Plein temps

Résumé du poste

Capital Fund Management in Paris is seeking a Data Reliability Engineer to ensure the availability, quality, and performance of data pipelines and underlying systems. You will work with development teams, data engineers, and data scientists to maintain data integrity and enable reliable insights for clients.

You bring a minimum of five years in data engineering or data ops, with strong governance and programming skills in Python, SQL andShell, plus AWS and big data tooling.

Qualifications

• Bachelor’s or master’s degree in computer science or related field.
• Minimum 5 years’ experience as Data Engineer / Data Ops / Support Lead.
• Strong knowledge of data governance and data processing principles.
• Proficient in Python, SQL, and Shell scripting; AWS and big data tools preferred.
• Excellent communication and problem-solving skills; capable of independent work.

Responsabilités

• Implement proactive data quality monitoring for data pipelines and systems.
• Provide Level 1 support for data domains and incident management.
• Automate recurring data tasks and promote data-as-a-product mindset.
• Collaborate with data engineers and scientists to meet requirements.

Connaissances

Data governance

Leadership & project management

Team collaboration

English proficiency

Independent work

Formation

Bachelor’s or Master’s in CS/SE

Outils

Python

SQL

Shell scripting

AWS

Spark

Kafka

Description du poste

Capital Fund Management in Paris is seeking a Data Reliability Engineer to ensure the availability, quality, and performance of data pipelines and underlying systems. You will work with development teams, data engineers, and data scientists to maintain data integrity and enable reliable insights for clients.

You bring a minimum of five years in data engineering or data ops, with strong governance and programming skills in Python, SQL andShell, plus AWS and big data tooling.