Senior Data Engineer

We're working with one of the world's largest independent investment management firms, managing over US$1.3 trillion in assets and serving clients in more than 50 countries. This financial industry leader is dedicated to building and evolving an innovative, industry-leading technology platform to answer complex questions impacting global finance.

The Role

• Design, build, and scale data-driven solutions for Science Analysts, particularly in the Equity space
• Work within the Science Research Technology team to enhance data capabilities
• Contribute to a highly sophisticated, well-managed technology platform
• Debug, optimize, and performance-tune high-volume data pipelines
• Collaborate with cross-functional teams including data scientists, researchers, and business partners

What You'll Need

• Strong experience in Data Science and programming skills in Python and SQL
• Experience building and maintaining ETL/ELT pipelines and data workflows using tools like Airflow or Glue
• Proficiency with cloud platforms, especially AWS (S3, Lambda, Batch)
• Experience with modern data architectures such as Snowflake, DataBricks, or Fabric
• Strong understanding of data modeling, data warehousing, data governance, and metadata management best practices
• Familiarity with CI/CD, Git-based workflows, containerization (Docker), and modern software engineering practices

What's On Offer

• Competitive salary range of $90,000 - $180,000 USD
• Comprehensive benefits package including retirement plan, health, dental, and vision coverage
• Discretionary Corporate Bonus and/or Incentives, if eligible
• Flexible work environment and opportunities for professional development

Apply via Haystack today!