Our client, a leading global asset management firm, is seeking a Lead Data Engineer with a strong background in data onboarding, quality best practices, and team leadership. This role involves hands-on development, stakeholder management, and the design of data processes and architecture to optimize operations and drive automation.

Responsibilities:

• Collaborate with business stakeholders and technology teams to facilitate data consumption and automation.
• Orchestrate, monitor, and optimize ETL processes.
• Proactively enhance data infrastructure and processes with best practices and latest technologies.
• Define standard procedures and requirements for data warehousing.
• Lead and mentor data engineers.

Requirements:

• 10+ years of data engineering experience with a focus on modern SDLC processes.
• Experience in building and designing solutions for data warehouses.
• Expertise in complex data environments and associated technology and analytics infrastructure.
• Proficiency in Snowflake and Python.
• Strong capabilities with Git and establishing/maturing Data Engineering ‘best practices’.
• Excellent technical communication and interpersonal skills.
• Strong problem-solving abilities and a fast learner.
• Experience with Vector Stores, DevOps/CI/CD tooling, AWS services, and traditional database platforms would be advantageous.
• Familiarity with financial data, such as market data and trade/positions data.

Salary Range:

$225,000 - $275,000 annually

*Salary is determined by experience, skills, qualifications, and job location.

Our client is committed to providing equal employment opportunities without regard to race, color, creed, religion, sex, pregnancy, national origin, ancestry, citizenship status, age, marital or partnership status, sexual orientation, gender identity or expression, disability, genetic predisposition, veteran or military status, status as a victim of domestic violence, a sex offense or stalking, or any other class or status in accordance with applicable laws.

To apply, please complete the form below. All fields marked with a red asterisk * must be completed. If you require a reasonable accommodation to complete your application, please contact our Human Resources team.