This role is suited for a Data Engineer / Senior Data Engineer with a strong background in Data Engineering, SQL, WebSphere Application Server (WAS), Middleware, and Enterprise Applications, particularly within Banking, Payments, and Financial Services environments. The individual will be responsible for designing and developing scalable data solutions, optimizing databases, managing enterprise application platforms, and ensuring high performance, availability, and reliability of business-critical systems. The role combines hands-on expertise in data engineering, database technologies, middleware platforms, messaging systems, and DevOps practices to drive technology modernization and operational excellence.
The candidate will collaborate closely with development, infrastructure, and business teams to deliver data integration initiatives, enterprise application deployments, platform enhancements, automation, and strategic technology transformations. Experience with payment systems, SWIFT, ISO 20022, and enterprise integration platforms will be highly advantageous. Strong analytical thinking, problem-solving capabilities, stakeholder management, and a results-oriented mindset are essential for success in this role.
Key Technology Areas
Data Engineering
ETL/ELT development and data integration
Data pipeline design and optimization
Data warehousing and data modeling
Batch and real-time data processing
Data validation, reconciliation, and data quality management
Databases & SQL
Advanced SQL development
Stored procedures, functions, views, and triggers
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JVM, thread pool, and connection pool optimization
Enterprise application lifecycle management
Middleware and integration platform management
Messaging Technologies
IBM MQ / WebSphere MQ
Message queue configuration and optimization
Enterprise messaging architecture
XML, JSON, and REST API integrations
Transaction processing and payment messaging platforms
DevOps & Automation
CI/CD tools such as Jenkins, GitHub, and GitLab
Shell scripting and Python automation
Release and deployment automation
Monitoring and observability using Splunk, Dynatrace, or AppDynamics
Process optimization and platform automation
Infrastructure & Platforms
Linux/Unix environments
Kubernetes/OpenShift
Cloud platforms such as AWS, Azure, or GCP
Domain Expertise (Preferred)
Banking and Payments systems
SWIFT and ISO 20022 messaging
Financial transaction processing
Enterprise middleware and integration platforms
Ideal Experience: 5–7 years for Data Engineer roles and 8–10+ years for Senior/Lead Data Engineer roles, particularly for candidates with experience across Data Engineering, SQL Development, WebSphere Application Server (WAS), IBM MQ, DevOps, Middleware Technologies, and Payment Systems.
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.
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