Senior Data Engineer - Vice President - Python Development

Technology

Join a small, high-impact engineering team in Citi Markets Technology building the data foundation for greenfield Generative AI products across asset classes. We are looking for an experienced Data Engineer who combines deep Python expertise with strong engineering judgement and a practical understanding of how to build reliable, high-performance data platforms.

The role goes beyond constructing ETL pipelines. You will help define how billions of records from diverse Markets data sources are collected, validated, transformed, governed, and made available to production AI applications with consistently low retrieval latency.

If you want to work on ambitious data engineering problems, shape a platform from the ground up, and help define how data is engineered for production AI in Markets, this is the role for you.

The Team

We are a fast-moving team specialising in Generative AI within Markets Technology. We build greenfield products that span multiple asset classes and solve real business problems using modern AI and data engineering approaches.

Our applications depend on a robust and well-designed data foundation. That means creating pipelines and serving layers that can process billions of records while preserving data quality, provenance, security, and operational reliability.

The team is still small enough for every engineer to have genuine influence. Data engineering is a core part of the product architecture, not a downstream support function.

The Role

As a Vice President in the team, you will be a hands-on senior engineer responsible for designing and building the data foundation for greenfield Generative AI products across Markets, including our conversational AI platform.

You will develop production-grade data pipelines and services, primarily using Python, to ingest, validate, transform, enrich, and serve data from a wide range of internal and external sources. You will help create a curated, high-performance data-serving layer that enables low-latency retrieval by our AI and application services.

You will contribute directly to code while also shaping architecture, engineering standards, data models, quality controls, and operational practices. We are looking for someone who can make pragmatic technology choices, challenge assumptions, and take long-term ownership of the platform.