Big Data Platform Senior Engineer, Citi

Big Data Platform Senior Engineer

Citi

Location:
Bahrain, Seef, Manama

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Not provided

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Job Description:

Lead Java Data Engineer to guide and mentor a talented team of engineers in building and maintaining Citi's next-generation data platform. The Data Platform is the backbone of Fixed Income Capital Markets trading, providing low latency, high concurrency, scalability, and availability needed to power groundbreaking solutions.

Job Responsibility:

Provide technical leadership and mentorship to a team of data engineers
Lead the design and development of highly scalable, low-latency, fault-tolerant data pipelines and platform components
Stay abreast of emerging open-source data technologies and evaluate their suitability for integration
Continuously identify and implement performance optimizations across the data platform
Partner closely with stakeholders across engineering, data science, and business teams to understand requirements
Drive the timely and high-quality delivery of data platform projects

Requirements:

Significant hands-on experience developing high-performance Java applications (Java 11+ preferred) with strong foundation in core Java concepts, OOP, and OOAD
Proven experience building and maintaining data pipelines using technologies like Kafka, Apache Spark, or Apache Flink
Familiarity with event-driven architectures and experience in developing real-time, low-latency applications
Deep understanding of distributed systems concepts and experience with MPP platforms such as Trino (Presto) or Snowflake
Experience deploying and managing applications on container orchestration platforms like Kubernetes, OpenShift, or ECS
Demonstrated ability to lead and mentor engineering teams, communicate complex technical concepts effectively, and collaborate across diverse teams
Excellent problem-solving skills and data-driven approach to decision-making

Nice to have:

Previous experience at tier-1 investment banks or major financial institutions
Experience with real-time streaming analytics and low-latency system optimization

Additional Information:

Job Posted:
November 21, 2025

Employment Type:

Fulltime

Work Type:

On-site work

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