Data Engineer, Citi

Citi

Location:
Ireland, Dublin

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Not provided

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Job Description:

At Citi Fund Services is undergoing a major transformation effort to transform the way data is integrated, processed and leveraged to drive business value. As part of this journey we are building scalable containerised solutions that enable real time data processing and seamless integrations across the funds services estate. We are looking for a talented lead data engineer to help shape the future state and modernise our existing data platforms. This is an exciting opportunity to join the organisation at the early stages of this data transformation journey which will have a real impact on the future of the funds services business.

Job Responsibility:

Designing, developing, optimising data integration frameworks to support large-scale data processing
Working with the latest in streaming at scale technologies to ensure efficient and reliable data movement across the fund services estate
Developing enterprise-scale data pipelines using the latest data streaming technologies
Optimizing delivered solutions through tuning for optimal performance through frequent benchmarking
Developing containerised solutions capable of running in private or public cloud
Ensuring solution is aligned to ci/cd tooling and standards
Ensuring solution is aligned to observability standards
Contributing to the journey of modernizing existing data processors move to common and cloud
Collaborating with cross function domain experts to translate business requirements to scalable data solutions

Requirements:

Substantial hands-on experience in software development
Proven experience in data integration / data pipeline developments
Proven experience in Data integration development (Ab Initio, Talend, Apache spark, AWS Glue, SSIS or equivalent) including optimization, tuning and benchmarking
Proven experience in SQL Oracle, MSSQL and equivalents including optimization, tuning and benchmarking
Understanding of Cloud-native development and Container Orchestration tools (Serverless, Docker, Kubernetes, OpenShift, etc.)
Understanding of Agile methodologies (Scrum, Kanban) and experience working in Agile teams
Exposure to Continuous Integration and Continuous Delivery (CI/CD) pipelines, either on-premises or public cloud (i.e., Tekton, Harness, Jenkins, etc.)
Demonstrable expertise in financial services considered a plus
Self-starter with the ability to drive projects independently and deliver results in a fast paced environment

Nice to have:

Demonstrable expertise in financial services

Additional Information:

Job Posted:
July 19, 2025

Employment Type:

Fulltime

Work Type:

Hybrid work

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Data Engineer