Data Engineer - Integrated E-Services [ITE Headquarters] – 2 Yr Cr

Institute of Technical Education; Singapore; On-site; SGD 55,000 - 85,000; Full time

Job summary

The Institute of Technical Education is seeking a Data Engineer to design, develop and maintain reliable data platforms, pipelines and analytics-ready datasets. The role is suitable for junior to mid-level candidates aiming to build practical data engineering skills using cloud data platforms such as Microsoft Fabric, Azure data services, and medallion architecture patterns.

You will collaborate with stakeholders, create scalable data pipelines, ensure data quality and contribute to enterprise

Qualifications

• Bachelor’s degree or diploma in Computer Science, Information Systems, Data Engineering, Data Analytics, Software Engineering or a related discipline.
• Experience with ETL/ELT concepts, data pipelines, data warehousing or lakehouse architecture is desirable.
• Solid foundations in SQL and data modelling concepts.
• Experience with scripting or data processing languages such as Python or PySpark.
• Ability to handle structured and semi-structured data from multiple sources.
• Strong analytical, troubleshooting, documentation and communication skills.
• Ability to translate business requirements into technical tasks with stakeholders.

Responsibilities

• Collaborate with stakeholders to understand business requirements and data needs.
• Design, build and maintain data pipelines, data models, and datasets for reporting and analytics.
• Organise data across layers from raw to cleansed and business-ready datasets.
• Ensure data quality with validation, lineage tracking and monitoring.
• Monitor pipeline performance and address failures or anomalies.
• Support cloud-based data solutions while complying with security and governance requirements.
• Contribute to enterprise data capability by supporting governed, reusable data assets for reporting, analytics and future AI use cases.

Skills

Analytical skills

Troubleshooting

Documentation

Communication

Education

Bachelor’s degree or diploma in Computer Science/Data Engineering/IT

Tools

Python

PySpark

SQL

Microsoft Fabric

Azure Data Factory

Azure Databricks

Git

Job description

What the role is

The Data Engineer will support the design, development, and maintenance of reliable data platforms, pipelines, and analytics-ready datasets. This role is suited for a junior to middle experience level candidate who is keen to build practical data engineering capabilities using modern cloud data platforms such as Microsoft Fabric, Azure data services, and medallion architecture patterns.

What you will be working on

• Collaborate with stakeholders to understand business requirements, user needs and data-related issues.
• Design, build, and maintain data pipelines, data models, and structured datasets to support reporting, analytics and decision-making.
• Organise and manage data across defined layers, from raw source data to cleansed, transformed and business-ready datasets.
• Ensure data quality through validation, documentation, lineage tracking, access management and operational monitoring.
• Monitor data pipeline performance, investigate failures or anomalies and document remediation actions to ensure reliable data delivery.
• Support the implementation and enhancement of cloud-based data solutions while ensuring compliance with security, audit, governance and government ICT requirements.
• Contribute to ITE’s enterprise data capability-building by supporting governed, reliable and reusable data assets for reporting, analytics, data sharing and future AI-enabled use cases.

What we are looking for

Essential Requirements

• Relevant qualification in Computer Science, Information Systems, Data Engineering, Data Analytics, Software Engineering or a related discipline.
• Understanding of ETL or ELT concepts, data pipelines, data warehousing, lakehouse architecture or analytics platform support.
• Good foundation in SQL and data modelling concepts.
• Working knowledge of at least one scripting or data processing language such as Python, PySpark or similar.
• Ability to work with structured and semi-structured data from multiple source systems.
• Good analytical, troubleshooting, documentation and communication skills.
• Ability to work with stakeholders to clarify requirements and translate data needs into technical implementation tasks.

Advantageous Requirements

• Hands-on exposure to Microsoft Fabric components such as Lakehouse, Warehouse, Data Factory, Notebooks, Dataflows, Semantic Models, OneLake and Power BI integration.
• Exposure to Azure Data Lake, Azure Data Factory, Azure Databricks, Azure SQL, Azure DevOps or similar cloud data platforms.
• Understanding of medallion architecture, including Bronze, Silver and Gold layers.
• Experience in data quality checks, reconciliation, monitoring, lineage tracking and operational support of data pipelines.
• Familiarity with Git, CI/CD, deployment practices and environment management.
• Awareness of cloud security, access control, data protection, audit requirements, Government on Commercial Cloud and IM8 requirements.