- Location
- Pune, MH,IN, IN
- Type
- Full-time
- Department
- IT
- Seniority
- Senior
- Source
- Eightfold
Description
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.
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
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## Job Family:
Applications Development
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## Time Type:
Full time
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## Most Relevant Skills
Please see the requirements listed above.
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## Other Relevant Skills
For complementary skills, please see above and/or contact the recruiter.
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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.
