Data Engineer - Parametric

Morgan Stanley's Parametric division, part of Morgan Stanley Investment Management, is seeking a Senior Data Engineer to join their Data Management Office. This role offers an exciting opportunity to work with a leading global financial services firm that has offices in over 41 countries. The position involves designing and maintaining scalable data pipelines, ensuring data quality, and implementing robust data solutions. The role operates under a hybrid working model, requiring 3 days in office per week.

The ideal candidate will have 5+ years of experience in data engineering, with strong expertise in Snowflake, AWS cloud technologies, and Python programming. They will be responsible for designing end-to-end data architectures, optimizing SQL queries, and creating comprehensive documentation including ER diagrams. The role requires both technical excellence and strong communication skills to work effectively with business stakeholders.

This position offers the opportunity to work with cutting-edge technologies and contribute to critical data infrastructure supporting Morgan Stanley's global operations. The company provides comprehensive benefits, career development opportunities, and a supportive, inclusive work environment. As part of a team that values innovation and collaboration, you'll help build and maintain data solutions that drive business success while working alongside industry experts in financial services technology.

The role combines technical challenges with business impact, making it ideal for a senior data engineer looking to advance their career in a prestigious financial institution. Morgan Stanley's commitment to excellence, global reach, and focus on employee development make this an exceptional opportunity for the right candidate.