Senior Data Engineer

About Us Wellington Management offers comprehensive investment management capabilities that span nearly all segments of the global capital markets. Our investment solutions, tailored to the unique return and risk objectives of institutional clients in more than 60 countries, draw on a robust body of proprietary research and a collaborative culture that encourages independent thought and healthy debate. As a private partnership, we believe our ownership structure fosters a long-term view that aligns our perspectives with those of our clients. About the Role Senior Data Engineer POSITION Tracing our roots to 1928, we are one of the world’s largest independent investment management firms. With over US$1.3 trillion in assets under management, we serve as trusted advisers to institutional clients and mutual fund sponsors in more than 50 countries. Our innovative investment solutions are built on the strength of proprietary, independent research and span nearly all segments of the global capital markets, including equity, fixed income, multi-asset, and alternative strategies. As a private partnership whose sole business is investment management, our long-term views and interests are aligned with those of our clients. We are committed to attracting a talented and diverse workforce and fostering an open, collaborative culture of inclusivity because we believe multiple perspectiv [... source excerpt omitted ...] member of the Science Research Technology team, this individual will help design, build, and scale data-driven solutions for the Science Analysts, especially in the Equity space. Qualifications Strong experience in Data Science Strong programming skills in Python and experience with SQL. Experience building and maintaining ETL/ELT pipelines and data workflows using tools such as Airflow, Glue or similar orchestration frameworks. Proficiency with cloud platforms, especially AWS (S3, Lambda, Batch). Experience with one or more modern data architectures (Snowflake, DataBricks, Fabric). Strong understanding of data modeling, data warehousing, data governance, and metadata management [... source excerpt omitted ...] ion assistance, back-up childcare, tuition/CFA reimbursement and paid time off (leave of absence, paid holidays, volunteer, sick and vacation time). Not sure you meet 100% of our qualifications? That’s ok. If you believe that you could excel in this role, we encourage you to apply and welcome a chance to review your background. We are dedicated to building and maintaining a diversified workforce and considering a broad array of candidates with a variety of skill, workplace experiences, and backgrounds. As an equal opportunity employer, Wellington Management ensures that all qualified applicants will receive equal consideration for employment without regard to race, color, sex, sexual