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.
ResponsibilitiesDesign 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.
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.
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.
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.
Build data systems that power real decisions — apply now to join Citi's next-generation AI and data platform engineering team.
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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.------------------------------------------------------
Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law.
If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi.
View Citi’s EEO Policy Statement and the Know Your Rights poster.
Skills Required
- Deep hands-on expertise in Python
- Deep hands-on expertise in Apache Spark (PySpark, Spark Core, Spark SQL, DataFrames/Datasets)
- Advanced SQL capability including complex queries and performance optimization
- Designing, building, and maintaining ETL/ELT pipelines for large-scale data ingestion and transformation
- Proficiency with Python data libraries: Pandas, NumPy, SciPy
- Practical experience with DevOps tools and CI/CD pipeline automation; version control via GitHub
- Solid working knowledge of Linux environments; familiarity with Windows
- Production-grade coding practices, conducting structured code reviews, and providing hands-on mentorship
- Performance tuning and optimization for processing large volumes of structured and semi-structured data
- Ability to collaborate across multidisciplinary teams to diagnose and resolve complex technical problems
- Working knowledge of Machine Learning and Generative AI
- Familiarity with Agentic AI workflows
- Experience using Jupyter Notebook for rapid prototyping
Citi Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Citi and has not been reviewed or approved by Citi.
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Healthcare Strength — Benefits coverage is positioned as comprehensive, including health, dental, and vision insurance plus on-site clinics, prescription drug support, and disability coverage. Family-building support such as fertility assistance is described as a notable differentiator within the overall package.
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Retirement Support — Retirement benefits are framed as strong, highlighted by a 401(k) with matching and additional plan options like a Roth 401(k). Financial support is reinforced through discounts and broader financial guidance resources tied to the benefits ecosystem.
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Wellbeing & Lifestyle Benefits — Wellbeing support extends beyond insurance through programs like an Employee Assistance Program, counseling/legal resources, and gym or wellness reimbursement. These offerings increase the perceived total rewards value even when cash compensation sentiment varies by role.
Citi Insights
What We Do
Citi's mission is to serve as a trusted partner to our clients by responsibly providing financial services that enable growth and economic progress. Our core activities are safeguarding assets, lending money, making payments and accessing the capital markets on behalf of our clients. We have 200 years of experience helping our clients meet the world's toughest challenges and embrace its greatest opportunities. We are Citi, the global bank – an institution connecting millions of people across hundreds of countries and cities.








