About Us
We empower employees to unleash their full potential within a dynamic environment that fosters growth and development of skills.
Your Role
You will be responsible for designing and implementing scalable data infrastructure that enables organizations to make informed decisions by unlocking the value of their data assets.
* Designing and developing reliable data pipelines and flows using Azure Synapse Analytics, Talend, and Apache Airflow
* Maintaining the Data Foundation repository (clients, portfolios, positions, transactions)
* Migrating data models and ETL workflows to Microsoft Fabric while ensuring business continuity
* Integrating diverse data sources (APIs, file systems, web scraping)
* Ensuring data quality and observability with tools like Great Expectations, ELK, and Splunk
* Collaborating with analysts and researchers to deliver clean, structured data
Your Profile
* Bachelor's degree in Computer Science, Data Science, or Information Systems
* Minimum 5 years of experience in data engineering or related fields
* Strong expertise in Business Intelligence architecture and Extract, Transform, Load tools (e.g., Talend)
* Proficiency in Azure Synapse Analytics, Azure Cloud, and Power BI
* Solid knowledge of SQL and relational databases (MS SQL, PostgreSQL)
* Programming skills in Python and Java
* Experience with Apache Airflow, data observability tools (ELK, Splunk), and data quality frameworks (Great Expectations)
* Ability to communicate effectively with both technical and non-technical stakeholders
* Fluent in French, with a good command of English
About Working at Our Company
We promote equality and dignity in all aspects of recruitment and employment. Our modern approach focuses on continuous feedback and conversations to support your career growth. We offer flexible work arrangements, allowing you to balance your personal and professional life.
We provide access to world-class digital learning packages to enhance your skills. Our curated programs include content from leading partners, such as Harvard Business Review, Coursera, Pluralsight, Udemy, Microsoft, AWS, and Google.