Senior Data Engineer

twentyAI; New York (NY); On-site; USD 140,000 - 190,000; Full time

Job summary

twentyAI is seeking a Senior Data Engineer to join its Enterprise Data Team in the US. You will help build a modern data platform, scaling pipelines and lakehouse architecture across multi-market trading businesses.

You will own data quality, observability and CI/CD practices, collaborating with Data, AI and Analytics to deliver tangible business impact. The role offers a greenfield opportunity to shape technical direction from day one, leveraging Databricks, Spark, Python and AWS in a

Qualifications

• Strong hands-on experience with Databricks and Spark in production environments.
• Excellent Python and SQL skills.
• Experience building scalable data pipelines and lakehouse architectures.
• Knowledge of CI/CD, automated testing, data quality and observability.
• AWS experience preferred.
• Financial services experience is a plus, particularly within capital markets or trading environments.

Responsibilities

• Build and scale enterprise data pipelines and lakehouse architectures.
• Own engineering standards, data quality, observability and platform performance.
• Collaborate with Data, AI and Analytics teams on cross-functional projects.
• Influence architectural direction and establish best practices from day one.

Skills

Databricks

Spark

Python

SQL

CI/CD

AWS

Data pipelines

Lakehouse

Observability

Job description

A rapidly growing global financial services firm is looking for a Senior Data Engineer as they expand their Enterprise Data Team in the US.

With over 3,000 employees globally and more than $2B in annual revenue, the business is continuing to expand its product offering, global footprint and technology capabilities. This is an opportunity to join a growing team and help build out a modern data platform supporting a complex, multi-market trading business.

What makes this opportunity exciting?

• Join a global financial services business experiencing strong growth, with significant investment in technology and data capabilities
• Be part of a greenfield initiative, helping shape the next generation of its data platform and engineering architecture
• Work with a modern tech stack including Databricks, AWS, Python, SQL, Spark and CI/CD
• Build scalable data pipelines supporting business intelligence, advanced analytics, machine learning and AI initiatives
• Take ownership of engineering standards, automation, data quality and platform performance
• Collaborate with Data, AI and Analytics teams on projects with tangible commercial impact across a global markets business
• Influence technical direction from day one, with the opportunity to help establish best practices rather than simply maintain legacy infrastructure

What we’re looking for:

• Strong hands-on experience with Databricks and Spark in production environments
• Excellent Python and SQL skills
• Experience building scalable data pipelines and lakehouse architectures
• Knowledge of CI/CD, automated testing, data quality and observability
• AWS experience preferred
• Financial services experience is a plus, particularly within capital markets, trading or other data-intensive environments

If you're a Data Engineer looking for a genuine greenfield opportunity where you can build with modern technology, influence architectural decisions and make an impact within a growing global financial services business.