Data Reliability Engineer / Data Ops Specialist

Capital Fund Management (CFM); Paris; Sur place; EUR 75 000 - 110 000; Plein temps

Résumé du poste

Capital Fund Management (CFM) in Paris is seeking a Data Reliability Engineer to ensure the availability, quality and performance of data pipelines and systems in the Data Tech group.

You will collaborate with data scientists, data engineers and software teams, implement proactive data quality monitoring, and drive best practices to treat data as a product in a fast-paced, research-driven environment.

Qualifications

• Bachelor's or master's degree in computer science, software engineering, or a related field.
• Minimum 5 years' experience as a Data Engineer, Support Engineer, Data Ops Specialist or Support Lead.
• Strong knowledge of data engineering principles, data processing technologies, and ETL principles.
• Expertise in Data governance.
• Proficiency in Python, SQL, and Shell scripting.
• Familiarity with cloud environments (AWS) and technologies such as Spark, Kafka.
• Strong knowledge of the financial sector.
• Excellent communication and problem-solving skills.
• Ability to work independently in a fast-paced, high-stakes environment.
• Good proficiency in English.
• Excellent leadership and project management skills.

Responsabilités

• Data Reliability Management: Implement proactive monitoring for data quality, integrity, and consistency; Define and enforce data management policies (backup, recovery, security).
• Data Support & Operations: Provide Level 1 support for data domains, managing alerts and incidents; Drive support best practices and documentation; Gatekeeper for Data Release Management (CMRM process).
• Automation & Best Practices: Automate recurring data tasks to improve efficiency and reduce errors; Establish continuous monitoring to detect anomalies; Promote development best practices focused on data reliability; Champion 'data as a product' approach with Platform teams.
• Cross-functional Collaboration: Partner with development teams, data engineers, and data scientists to understand requirements; Troubleshoot data-related issues collaboratively; Provide technical guidance on data management with the best practices.

Formation

Bachelor's or Master's in Computer Science/Software Engineering or related field

Outils

Python

SQL

Shell scripting

AWS

Spark

Kafka

Description du poste

Founded in 1991, we are a global quantitative and systematic asset management firm applying a scientific approach to finance to develop alternative investment strategies that create value for our clients.

We value innovation, dedication, collaboration, and the ability to make an impact. Together, we create a stimulating environment for talented and passionate experts in research, technology, and business to explore new ideas and challenge existing assumptions.

YOUR ROLE

At CFM, innovation and the quest for discovery are at the heart of what we do. Our Data Team plays a pivotal role in transforming diverse data sources into powerful predictors, helping achieve remarkable returns for our clients. We foster an environment where curiosity thrives-an ideal workspace for exceptional PhDs, IT engineers, and industry experts. As a proudly recognized Great Place to Work, we invite individuals who are passionate about innovation and eager to make an impactful difference.

As a Data Reliability Engineer, you will be responsible for managing and ensuring the reliability of data systems and processes within the Data Technology department.

You will work closely with development teams, data engineers, and data scientists to ensure the availability, quality, and performance of data pipelines and underlying systems.

KEY RESPONSIBILITIES

Data Reliability Management

• Implement proactive monitoring for data quality, integrity, and consistency
• Define and enforce data management policies (backup, recovery, security)

Data Support & Operations

• Provide Level 1 support for data domains, managing alerts and incidents
• Drive support best practices and documentation
• Act as gatekeeper for Data Release Management (CMRM process)

Automation & Best Practices

• Automate recurring data tasks to improve efficiency and reduce errors
• Establish continuous monitoring to detect anomalies
• Promote development best practices focused on data reliability
• Champion "data as a product" approach with Platform teams

Cross-functional Collaboration

• Partner with development teams, data engineers, and data scientists to understand requirements
• Troubleshoot data-related issues collaboratively
• Provide technical guidance on data management with the best practices

YOUR SKILLS

Bachelor's or master's degree in computer science, Software Engineering, or a related field.

Minimum 5 years' experience as a Data Engineer, Support Engineer, Data Ops Specialist or Support Lead.

• Strong knowledge of data engineering principles, data processing technologies, and basic ETL principles.
• Expertise in Data governance
• Proficient in programming languages such as Python, SQL, and Shell scripting.
• Familiarity with cloud environments (AWS) and ideally technologies such as Spark, Kafka, etc.
• Strong knowledge of financial sector
• Collaborative and Communicative:
• Ability to work independently
• Excellent communication and problem-solving skills
• Passionate about creating impact
• Capacity to work in a fast-paced, high-stakes environment
• Good proficiency in English
• Excellent leadership and project management skills

EQUAL OPPORTUNITIES STATEMENT

We are continuously striving to be an equal opportunity employer, and we prohibit any discrimination based on sex, disability, origin, sexual orientation, gender identity, age, race, or religion. We believe that our diversity, breadth of experience, and multiple points of view are among the leading factors in our success.

CFM is a signatory of the Women Empowerment Principles.

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