Manager (Data Engineer)

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Manager (Data Engineer)
role at
Singapore Institute of Technology
Join to apply for the
Manager (Data Engineer)
role at
Singapore Institute of Technology
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About The Role
SITLEARN is the lifelong learning division of Singapore Institute of Technology (SIT), Singapore's first University of Applied Learning. We focus on providing lifelong learning opportunities for working adults to upgrade their skills and knowledge for the workplace.
Job Description
Manager (Data Engineer)
Posting Start Date: 25/07/2025
Schemes of Service: Corporate
Division: SITLEARN
Employment Type: Fixed Term
About The Role
SITLEARN is the lifelong learning division of Singapore Institute of Technology (SIT), Singapore's first University of Applied Learning. We focus on providing lifelong learning opportunities for working adults to upgrade their skills and knowledge for the workplace.
We are seeking a proactive and technically capable Data Engineer to support our Insights team in building, maintaining, and optimising our data infrastructure. As part of a small but dynamic team, you will play a key role in ensuring the accuracy, accessibility, and usability of data that drives critical business decisions across the organisation.
Key Responsibilities
Data Infrastructure & System Integration
Build a unified data infrastructure that integrates historical data from the existing system with data from the new system
Design and maintain robust ETL pipelines to support seamless data migration and ongoing data flows
Ensure consistency, accuracy, and reliability across integrated datasets
Organize and structure data in a format that supports downstream analysis and reporting needs
Data Engineering & Pipeline Development
Design, develop, and maintain scalable data workflows and processing systems
Develop and maintain data quality monitoring and validation processes
Collaboration & Stakeholder Engagement
Collaborate with stakeholders to understand data needs and translate them into models, datasets, or dashboards
Work closely with the relevant teams in SITLEARN to support analytical projects and reporting requirements
Communicate technical concepts effectively to non-technical stakeholders
Documentation & Best Practices
Document data processes, pipeline logic, and system changes for knowledge sharing and maintainability
Follow industry best practices in data engineering and advocate for continuous improvement in data handling practices
Qualifications
Bachelor’s degree in Computer Science, Data Engineering, Information Systems, or a related field
3–5 years of experience in a data engineering or similar role
Strong knowledge of SQL and experience working with relational databases
Proficient in data pipeline tools (e.g., Airflow, dbt, Talend, or similar) and scripting languages (e.g., Python)
Familiarity with cloud platforms and data services (e.g., AWS, Azure, GCP)
Experience with BI tools like Power BI or Tableau is a plus
Preferred Skills
Experience or familiarity with Salesforce data structures and API integration
Strong analytical and problem-solving skills
Comfortable being an individual contributor and managing deliverables independently
Collaborative, with the ability to communicate effectively across technical and non-technical teams
Detail-oriented with a commitment to data accuracy and quality
We offer a hybrid work arrangement that combines remote and in-person work, subject to work exigencies.
Seniority level
Seniority level Not Applicable
Employment type
Employment type Full-time
Job function
Job function Information Technology
Industries Higher Education
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