Senior Associate, Data Engineering

Who you'll work with:

We are seeking a Senior Associate, Data Engineering to join our dynamic Data Team. This role is ideal for a data engineer with experience in Snowflake, Fivetran, dbt, Python, and SQL who thrives on ingesting and transforming data from diverse sources, ensuring it is optimized for analytics and business intelligence. The ideal candidate is a hands-on problem solver, eager to learn, and a strong team player who contributes to a collaborative data-driven culture.

What you'll do:

• Design, build, and maintain scalable data pipelines to ingest and integrate data from multiple

•   sources using Fivetran and Snowflake. 

• Develop and optimize dbt transformation models to structure and prepare data for analytics and

•   consumption.

• Ensure data quality, integrity, and reliability through robust testing, monitoring, and governance practices.

•  Implement data modeling best practices in a data warehouse environment, optimizing for performance and usability.

• Work closely with data analysts, engineers, and business teams to understand data requirements and improve accessibility.

• Collaborate on improving internal data engineering processes, documentation, and best practices.

What we're looking for:
Required Qualifications

• 4+ years of experience in data engineering, data warehousing, or related fields.

• Proficiency in Snowflake, dbt, Fivetran, Python, and SQL for data transformation, automation, and pipeline development.

• Experience with data modeling techniques and best practices for modern cloud-based data warehouses.

• Strong analytical skills with an ability to optimize queries and troubleshoot performance issues.

• Passion for continuous learning, innovation, and contributing to a strong data culture.

• Excellent communication skills and a team-oriented mindset.

Preferred Qualifications

• Experience with orchestration tools (e.g., Airflow) and data governance frameworks.

• Familiarity with CI/CD for data pipelines and infrastructure-as-code principles.

• Exposure to big data processing frameworks (e.g., Spark) is a plus.

Who We Are:

We are a leading global investment management firm offering high-quality research and diversified investment services to institutional clients, retail investors, and private-wealth clients in major markets around the globe. With over 4,000 employees across 57 locations operating in 26 countries and jurisdictions, our ambition is simple: to be the most trusted investment firm in the world. We realize that it's our people who give us a competitive advantage and drive success in the market, and our goal is to create an inclusive culture that rewards hard work.

Our culture of intellectual curiosity and collaboration creates an environment where you can thrive and do your best work. Whether you're producing thought-provoking research, identifying compelling investment opportunities, infusing new technologies into our business or providing thoughtful advice to our clients, we are fully invested in you. If you're ready to challenge your limits and empower your career, join us!

People of color, women, and those who identify as LGBTQ people are encouraged to apply. AB does not discriminate against any employee or applicant for employment on the basis of race, color, religion, creed, ancestry, national origin, sex, age, disability, marital status, citizenship status, sexual orientation, gender identity, military or veteran status or any other basis that is prohibited by applicable law.  AB’s policies, as well as practices, seek to ensure that employment opportunities are available to all employees and applicants, based solely on job-related criteria.

If you are a driven data engineer looking to take the next step in your career, we encourage you to apply!