Associate/Junior Data Engineer

Our client, one of Asia-Pacific’s leading organizations is looking for: Associate/Junior Data Engineer Design, develop, and implement enterprise data models that support organisational analytics, operational reporting, and data sharing initiatives. The successful candidate will work closely with business stakeholders and technical teams to understand the existing data landscape, design future-state data models, and implement data pipelines and transformations to operationalise these models. You should have strong experience in data modelling and data management practices, and the ability to translate complex data structures into clear, user-centric and technical representations to facilitate stakeholder discussions and system implementation. Strong experience in data modelling and translating business concepts into structured data models is a key requirement for this role. Responsibilities: • Oversee day-to-day BAU operations of the CFMS, ensuring high availability, performance, and reliability • Analyse the current organisational data landscape and identify opportunities to improve data structures and integration. • Design and document conceptual, logical, and physical data models to support enterprise data architecture. • Develop data mapping and transformation logic between source systems and target data models. • Translate complex data structures into clear visual diagrams and technical documentation to support stakeholder discussions and system implementation. • Ensure data models follow best practices for scalability, performance, and maintainability. • Apply and adhere to the organisation’s Master Data Management (MDM) and metadata management practices in the design and implementation of data models and pipelines. • Ensure datasets are documented with appropriate metadata, definitions, and lineage to support discoverability and usability across the organisation. • Collaborate with internal data governance teams and stakeholders to ensure data standards and naming conventions are consistently applied. • Assist in refining and improving existing data management practices by providing feedback based on implementation experience. • Implement data pipelines and transformation workflows to operationalise designed data models. • Perform data analysis and profiling to understand source data structures and quality. • Develop data ingestion, transformation, and preparation processes using in-house enterprise data platforms. • Support the review, preparation, and publication of datasets on the organisation’s data access portal. Requirements: • Bachelor’s degree in Computer Science, Information Systems, Data Science, Software Engineering, or a related technical discipline. • 2–4 years of experience in data engineering, data modelling, or data architecture. • Experience designing data models and implementing data transformations. • Strong experience in data modelling (conceptual, logical, and physical models). • Experience performing data mapping and transformation design between systems. • Ability to analyse complex datasets and derive appropriate data structures. • SQL and relational databases (e.g., PostgreSQL) • Data engineering or ETL/ELT platforms • Python for data processing --------------------------------------------------------------------------------------------------------------------------------- Interested applicants can also email CV at jagveer@nsearchglobal.com (for faster processing, please state the exact job / position title applied “Associate/Junior Data Engineer" Only shortlisted candidates will be notified. --------------------------------------------------------------------------------------------------------------------------------- EA License Number: 10C3636 EA Personnel Name: Jagveer Singh Arora  EA Personnel Registration Number: R22109615 By submitting your resume and cover letter to apply for our job opening, you confirm that you have read the Data Protection Notice for Job Applicants (https://www.nsearchglobal.com/dp-notice/job-applicants) and you consent to the collection, use, and disclosure of your personal data for the purpose of verifying and evaluating your job application. Additionally, you have to notify and obtain consent from all individuals listed as your references to their data being collected and disclosed for the purposes related to your job application.