Data Engineer

Key Responsibilities

• Design, develop, and maintain robust, scalable data pipelines and ETL/ELT processes
• Build and manage data architectures including data lakes, data warehouses, and real-time streaming systems
• Integrate data from multiple internal and external sources, ensuring data accuracy, consistency, and timeliness
• Collaborate with data scientists, analysts, and software engineers to support analytics, machine learning, and business intelligence use cases
• Optimise data storage, processing performance, and cost efficiency
• Implement data quality checks, monitoring, and documentation
• Ensure data governance, security, and compliance with PDPA and internal data policies
• Troubleshoot data issues and provide ongoing operational support
• Participate in system design reviews, technical documentation, and knowledge sharing

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Requirements and Competencies:

• Bachelor Degree in Computer Science, Information Systems, Engineering, or a related discipline
• Minimum 3 years of relevant experience in data engineering or related roles
• Relevant professional certifications (cloud, data, or analytics) are an advantage
• Strong proficiency in SQL and at least one programming language such as Python, Java, or Scala
• Experience with data pipeline and workflow orchestration tools (e.g. Airflow, Prefect, PowerBI or equivalent)
• Hands-on experience with data warehousing technologies (e.g. Snowflake, BigQuery, Redshift, or similar)
• Familiarity with cloud platforms (AWS, Azure, or GCP), including data storage and processing services
• Experience working with structured and unstructured data
• Understanding of data modelling, schema design, and performance optimisation
• Knowledge of data security, access control, and governance best practices