Data Engineering and Operations Lead

1 week ago


Singapore United Overseas Bank Full time

Join United Overseas Bank as a Data Engineering and Operations Lead to shape the future of data architecture and pipeline in support of AML uplift analytics needs. This role is part of our Compliance function, which plays a critical strategic partner and business enabler to the Board and senior management.

As a Data Engineering and Operations Lead, you will be responsible for designing and maintaining data architecture and pipeline in support of AML uplift analytics needs; ensuring seamless deployment of AML uplift analytical models into UOB's production environment. Your key responsibilities will include creating, building, and maintaining the data infrastructure required for Extraction, Transformation, and Loading of data from a wide variety of sources.

You will ensure high-quality data is delivered to support Compliance/FCC model development. You will also support the implementation of Data Analytics/Automation for Compliance teams and Business stakeholders. Your liaison with relevant stakeholders (e.g., Data Management Office) will help identify and assess suitability of data for Compliance/FCC Data models.

Your collaboration with Business stakeholders/analysts will ensure assembled data assets used for model development meet business requirements. You will build and maintain data dictionaries/data requirements of implemented data models and coordinate with Data Scientist(s) in developing model narratives. You will monitor the execution and performance of data models and liaise with IT for any technical/system outages.

You will keep track of datasets/tables in the working schema and support purging of unused tables periodically. You will perform data analysis required to troubleshoot data-related issues and support the resolution of raised data issues.

This role requires 3-5 years of experience working in a data engineering and/or data operations role, ideally in the financial services industry. You should be proficient in Python/Skark and SQL to code complex data engineering use cases. Experience with schema design and dimensional data modeling is also necessary.

A strong understanding of Agile methods and tools like JIRA is essential. You should be able to create and maintain production-ready data pipelines. Strong people skills and a big-picture approach to planning are also required. You must have excellent communication skills to interact with data scientists, business end-users, and possibly external vendors to design and develop data solutions.

Bachelor's degree in Computer Science, Computer Engineering, IT, or equivalent is necessary. Estimated salary range: SGD $120,000 - SGD $180,000 per annum based on location and experience.



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