Data Analytics Engineer

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.