Data Engineer - Financial Services

• 11 septembre 2026
• 100%
• Durée indéterminée
• Nyon

Our client is looking for a highly motivated Data Engineer - Financial Research to join a growing research and technology initiative at the intersection of financial markets, data engineering, and artificial intelligence.

Data Engineer - Financial Services

Our client is located in Nyon.

This position offers a unique opportunity to contribute to the building of a proprietary data ecosystem from the ground up, supporting a team of fundamental research analysts. The successful candidate will participate in the development of the infrastructure, databases, and analytical tools that will enhance the efficiency, depth, and scalability of the research process.

Working closely with investment professionals, the Data Engineer will play a key role in providing innovative solutions that transform how financial information is collected, organized, and utilized.

Description

Our client is looking for a highly motivated Data Engineer - Financial Research to join a growing research and technology initiative at the intersection of financial markets, data engineering, and artificial intelligence.

This position offers a unique opportunity to contribute to the building of a proprietary data ecosystem from the ground up, supporting a team of fundamental research analysts. The successful candidate will participate in the development of the infrastructure, databases, and analytical tools that will enhance the efficiency, depth, and scalability of the research process.

Working closely with investment professionals, the Data Engineer will play a key role in providing innovative solutions that transform how financial information is collected, organized, and utilized.

Data platform development ###

• Design, build, and maintain proprietary databases supporting financial research activities.
• Participate in the creation and evolution of a centralized data lake.
• Contribute to the implementation and development of modern data architectures, including platforms such as Snowflake.
• Develop and manage scalable data pipelines to acquire, transform, validate, and distribute data from multiple sources.
• Ensure data quality, integrity, governance, and accessibility on the research platform.
• Continuously improve the company's data infrastructure to support future growth and analytical capabilities.

Research tools & Analytics ###

• Develop proprietary tools aimed at improving analyst productivity and research efficiency.
• Build data filtering and exploration solutions to support investment research workflows.
• Automate data collection, processing, and reporting tasks.
• Translate research requirements into practical and scalable technological solutions.
• Work closely with end users to identify opportunities for innovation and continuous improvement.

Innovation & Artificial intelligence ###

• Evaluate emerging technologies relevant to financial research and data analysis.
• Contribute to the adoption of artificial intelligence and automation capabilities in research workflows.
• Evaluate opportunities for leveraging external SaaS solutions while helping to develop proprietary alternatives where appropriate.
• Support the creation of differentiated research capabilities through the intelligent use of data and technology.

Profile

• Bachelor's or Master's in computer science, data engineering, software engineering, data science, mathematics, or a related discipline.
• Strong knowledge of Python and SQL.
• Experience in building and maintaining databases, data pipelines, and data processing workflows.
• Understanding of modern data architectures, cloud technologies, and best practices in data engineering.
• Familiarity with platforms such as Snowflake, Databricks, Azure, AWS, or similar technologies would be an asset.
• Strong analytical and problem-solving skills.
• Ability to communicate effectively with technical and non-technical stakeholders.
• Proactive mindset with a strong desire to learn and build.
• French and English

Job offer

Attractive environment.

Teleworking and flexibility