Senior Developer - Python and Spark

Discover your future at Citi

Working at Citi is far more than just a job. A career with us means joining a team of more than 230,000 dedicated people from around the globe. At Citi, you’ll have the opportunity to grow your career, give back to your community and make a real impact.

Job Overview

Citi is looking for a Senior Data Engineer to design and build the next-generation data processing and analytics platform that sits at the core of our AI-driven business innovation. In this role, you will architect scalable ETL/ELT pipelines using Python and PySpark, while also integrating Generative AI and Machine Learning models to push the boundaries of what our data systems can do. Working within a high-performing engineering team, you will shape how data flows, performs, and delivers value across the organisation at scale.

Responsibilities

Design and build highly scalable ETL/ELT pipelines in Python and PySpark to power reliable data ingestion, transformation, and integration at scale.

Develop production-grade code and elevate team capability through structured code reviews and hands-on peer mentorship.

Integrate Generative AI and Machine Learning models into data workflows, using AI development tools to deliver innovative solutions and resolve complex technical challenges.

Establish and enforce data quality standards across all pipelines, ensuring accuracy, consistency, and reliability of data throughout its lifecycle.

Implement an AI-first engineering approach by exploring and embedding Agentic AI workflows to increase development velocity and platform intelligence.

Automate CI/CD pipelines for builds and deployments, advancing DevOps maturity across the data platform.

Apply performance tuning and optimisation techniques to process large volumes of structured and semi-structured data efficiently and at speed.

Collaborate directly with engineers and product owners to align technical direction with delivery goals and accelerate outcomes.

Required Qualifications & Skills

Deep hands-on expertise in Python and Apache Spark, including Spark Core, Spark SQL, and DataFrames/Datasets, applied to production data systems.

Advanced SQL capability across complex query writing, data transformation logic, and query performance optimisation.

Demonstrated experience designing, building, and maintaining ETL/ELT pipelines for large-scale data ingestion and transformation.

Proficiency with Python data processing libraries including Pandas, NumPy, and SciPy for data wrangling and preprocessing tasks.

Practical experience with DevOps tools and CI/CD pipeline automation, with version control managed through GitHub.

Solid working knowledge of Linux environments, with familiarity across Windows systems.

Ability to collaborate across multidisciplinary teams to diagnose complex technical problems and deliver effective, lasting solutions.

Beneficial Skills & Qualifications

Working knowledge of Machine Learning and Generative AI, with direct exposure to AI development tooling in an engineering context.

Familiarity with Agentic AI workflows and their application to enhancing platform capabilities or development productivity.

Experience using Jupyter Notebook for rapid prototyping and iterative development of data solutions.

What We Offer

At Citi, you will work on technically challenging problems that matter, contributing to a platform that shapes how a global financial institution processes and derives intelligence from data. This is a role where technical depth, curiosity, and engineering rigour are genuinely valued.

Hybrid working model with 3 days in the office and 2 days working remotely, giving you flexibility and in-person collaboration.

Access to complex, large-scale engineering challenges at the intersection of data and AI, keeping your technical skills at the forefront of the industry.

Opportunities to grow into AI and platform architecture disciplines, supported by a team culture that invests in continuous technical development.

Exposure to a globally connected engineering network, collaborating with specialists across technology, data, and product functions.

A performance-driven environment where your contributions to platform innovation directly influence business outcomes at scale.

Wellbeing and work-life balance support, alongside a competitive benefits package designed to recognise the value you bring.

-

Job Family Group:

Technology

-

Job Family:

Applications Development

-

Time Type:

Full time

-

Most Relevant Skills

Please see the requirements listed above.

-

Other Relevant Skills

For complementary skills, please see above and/or contact the recruiter.

-