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 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