Data Analytics Engineer

Singapore University of Social Sciences; Singapore; Hybrid; SGD 60,000 - 80,000; Full time

Job summary

Join a leading university as a Data Analytics Engineer (Entry Level), where you will develop scalable data pipelines and machine learning models. You'll be part of a collaborative team, ensuring data governance while driving analytics for meaningful education decisions. The role promises professional growth with access to development opportunities.

Benefits

Competitive Pay Package

Hybrid Work Arrangement

Medical Benefits

Flex Benefits

Family Care Leaves

Volunteer Service Leaves

Wellness & Recreation Activities

Lifelong Learning Opportunities

Career Development Opportunities

Qualifications

• Possess a degree in Data Science or Business Analytics.
• Proficiency in SQL and Python with experience in libraries like Pandas and Scikit-learn.
• Strong interest in end-to-end ML development.

Responsibilities

• Design, build, and maintain data pipelines using Microsoft Fabric and PySpark.
• Act as primary administrator for Microsoft Fabric and support university’s data initiatives.
• Collaborate on ML model training and deployment.

Skills

SQL

Python

Data Engineering

Machine Learning Development

Data Preparation

Education

Degree in Data Science

Business Analytics

Tools

Microsoft Fabric

Azure Machine Learning

Power BI

Pandas

Scikit-learn

PySpark

Job description

Who We Are

As Singapore's first institute for lifelong learning, the Singapore University of Social Sciences (SUSS) champions inclusivity to bring education to all and ensure that they are given equal opportunities to develop to their fullest potential in our diverse learning environment.

We advocate for the same for our people. We believe everyone should have equal opportunities and develop to their fullest potential in their careers.

Embark on an exciting lifelong journey with us in making a positive difference in your career and serving our society.

For more information on Singapore University of Social Sciences, please visit www.suss.edu.sg

About The Job

We are seeking a versatile and motivated individual to join our team as a Data Analytics Engineer (Entry Level). In this role, you will build and maintain scalable data pipelines, develop and deploy machine learning (ML) models, and support the university’s data-driven initiatives using tools such as Microsoft Fabric, Azure Machine Learning, and Power BI. In addition to data and ML development, you will also serve as an administrator of Microsoft Fabric, the university’s cloud analytics platform—ensuring efficient operations, governance, and user support. This position is ideal for individuals who enjoy working across the full data and ML lifecycle—from wrangling raw datasets to training models and supporting strategic decisions through analytics. You will be part of a collaborative, in-house data team addressing meaningful challenges in education and operations.

What You Will Be Doing

Key Responsibilities:

Data Engineering & Machine Learning Development

• Design, build, and maintain scalable data pipelines using Microsoft Fabric components (e.g., Data Pipelines, Dataflows) and PySpark.
• Ingest, clean, and transform data from diverse sources such as APIs, flat files, and databases.
• Operate within the Lakehouse architecture to ensure reliable, well-governed data delivery.

• Design, train, and evaluate models for classification, prediction, and segmentation use cases.
• Perform feature engineering, model tuning, and validation.
• Deploy models in collaboration with analytics specialists and contribute to building reusable ML feature stores.
• Ensure data quality, documentation, and lineage are maintained across workflows.

Microsoft Fabric Administration & Analytics Support

• Act as the primary administrator for Microsoft Fabric, overseeing workspace, capacity, and permission management.
• Monitor usage, performance, and cost metrics; troubleshoot and optimise resource allocation.
• Support onboarding of university teams to Microsoft Fabric and maintain security and compliance standards.
• Manage workspace hygiene, archival, and governance enforcement across all Fabric artefacts.
• Collaborate with the data warehouse team, analytics specialists, AI engineers, and domain users to deliver structured datasets and model outputs.
• Assist in building and refining Power BI datasets and dashboards for decision-making support.

Job Requirements

• Possess a degree in Data Science, Business Analytics or related.
• Proficiency in SQL and Python, including libraries such as Pandas, Scikit-learn, and PySpark.
• Strong interest or hands-on experience in end-to-end ML development (from data prep to deployment).
• Familiarity with Microsoft Fabric components (e.g., Lakehouse, Data Pipelines, Dataflows).
• Exposure to Power BI or equivalent BI/visualisation tools.
• Microsoft Fabric certification (or willingness to obtain one).
• Exposure to Azure Machine Learning or similar ML model lifecycle platforms.
• Practical experience (via internships, coursework, or projects) in data engineering or ML model development.
• Understanding of higher education data or student analytics scenarios.
• Curious and self-driven with a growth mindset.
• Able to clearly explain technical concepts to both technical and non-technical audiences.
• Strong attention to detail and a methodical, structured approach to solving problems.

What We Offer

At SUSS, we advocate the Spirit of Learning and pride ourselves as lifelong learners. You will gain access to various learning platforms and plenty of development opportunities to support your growth in a meaningful career!

Besides that, you will also get:

• Competitive Pay Package
• Hybrid Work Arrangement (Subject to Job Role)
• Medical Benefits
• Flex Benefits
• Family Care Leaves
• Volunteer Service Leaves
• Wellness & Recreation Activities
• Lifelong Learning Opportunities
• Career Development Opportunities through Internal Job Postings and Transfers