Data Engineer: Financial Research & AI-Driven Data Platform

Job-Room; Nyon; Hybrid; CHF 110.000 - 150.000; Vollzeit

Benefits dieser Stelle

Home office

Flexibility

Zusammenfassung

Job-Room is seeking a Data Engineer - Financial Research in Nyon, Switzerland, to design and build databases and data pipelines for a proprietary research platform. You will contribute to a centralized data lake and modern data architectures, collaborating with investment professionals to enhance data-driven insights.

The role requires strong Python and SQL skills, experience with Snowflake/Databricks and cloud platforms, and the ability to deliver scalable, high-quality data infrastructure

Qualifikationen

• Bachelor's or Master's in Computer Science, Data Engineering, Software Engineering, Data Science, Mathematics, or related discipline.
• Strong knowledge of Python and SQL.
• Experience building and maintaining databases, data pipelines, and data processing workflows.
• Familiarity with modern data architectures, cloud technologies and best practices.

Aufgaben

• Design, build, and maintain proprietary databases supporting financial research activities.
• Participate in the creation and evolution of a centralized data lake.
• Develop and manage scalable data pipelines to acquire, transform, validate, and distribute data from multiple sources.
• Ensure data quality, integrity, governance, and accessibility across the research platform.
• Continuously improve the firm's data infrastructure to support growth and analytical capabilities.

Kenntnisse

Python

SQL

Databases

Data pipelines

Data processing workflows

Ausbildung

Bachelor's or Master's in Computer Science, Data Engineering, Software Engineering, Data Science, Mathematics, or related discipline

Tools

Snowflake

Databricks

Azure

AWS

Jobbeschreibung

Job-Room is seeking a Data Engineer - Financial Research in Nyon, Switzerland, to design and build databases and data pipelines for a proprietary research platform. You will contribute to a centralized data lake and modern data architectures, collaborating with investment professionals to enhance data-driven insights.

The role requires strong Python and SQL skills, experience with Snowflake/Databricks and cloud platforms, and the ability to deliver scalable, high-quality data infrastructure