Data Engineer – Design and Build Scalable Data Pipelines

About the role

We are seeking a motivated Data Engineer to design, build, and maintain scalable data pipelines and platforms that support business intelligence, machine learning, and digital transformation initiatives across Singapore.

Key responsibilities

• Design, develop, and maintain ETL/ELT pipelines for structured and unstructured data from multiple sources.
• Build and optimise scalable pipelines for batch, near‑real‑time, and real‑time processing.
• Develop and maintain data models, data warehouses, and integration solutions.
• Collaborate with data scientists, analysts, and business stakeholders to understand requirements and deliver high‑quality datasets.
• Monitor pipelines to ensure reliability, availability, and performance against SLAs.
• Perform data validation, cleansing, and quality assurance to maintain data integrity.
• Implement data governance, security, and compliance requirements across platforms.
• Troubleshoot and resolve pipeline issues while continuously improving performance.

Required profile

• Degree in Computer Science, Information Technology, Data Engineering or a related discipline.
• 2–5 years of experience building and maintaining data pipelines and ETL solutions.
• Hands‑on experience with ETL/ELT tools such as Informatica or Talend.
• Strong knowledge of SQL and Python.

Required skills

• Informatica or Talend (ETL/ELT tools)
• SQL
• Python
• Data modelling and data warehousing concepts
• Apache Spark, Hadoop, Hive (big data technologies)
• PostgreSQL, SAP, flat files, APIs (data source integration)
• Power BI, SharePoint
• Kubernetes, Docker/Podman
• Microservices architecture
• DevSecOps practices