Data Engineer II

Overview Data Engineer II (Modeling, ETL) at Airwallex Airwallex is the only unified payments and financial platform for global businesses. Powered by proprietary infrastructure and software, we empower over 150,000 businesses worldwide with integrated solutions to manage everything from business accounts, payments, spend management and treasury, to embedded finance at a global scale. Proudly founded in Melbourne, Airwallex has a team of over 1,800 across 26 offices and is backed by leading investors. If you’re ready to do the most ambitious work of your career, join us. Attributes we value include builder mindset, ownership, fast execution with good judgment, curiosity, and collaboration. You’ll tackle complex, high-visibility problems with exceptional teammates and grow your career as we build the future of global banking. What You’ll Do Part 1. Data Modeling Design and implement robust and scalable data models that support business intelligence, machine learning, and operational needs. Understand data schemas and select appropriate designs (e.g., star schema, snowflake, normalized vs denormalized) based on use cases. Collaborate with business teams to translate data needs into clean, structured, and well-documented models. Promote the concept of SSOT (Single Source of Truth) across data layers and pipelines. Maintain data consistency, traceability, and quality across multiple data sources and domains. Part 2. ETL and Data Pipeline Management Experience building and maintaining both batch and streaming ETL pipelines from data ingestion to transformation and delivery. Work closely with Data Platform Engineers (DPEs) and Product Managers (PMs) to identify root causes of data issues and provide scalable solutions. Bonus if you’ve worked with data across distributed or multi-datacenter systems, including data migration, duplication, and consistency challenges. Part 3. Data Governance Participate in data governance strategies, policies, and standards. Be familiar with the six pillars of traditional data governance: data quality, data stewardship, metadata management, master data management, data privacy/security, and data lifecycle. Part 4. Data + AI Have a basic understanding of AI and think about how data engineering and AI can work together in practical and creative ways. These four areas are the main focuses of the DE team. It’s ideal to be strong in at least one, especially data modeling or data ETL. Additional experience in other areas is a plus. Who You Are Minimum qualifications are required; preferred qualifications are beneficial but not mandatory. Minimum Qualifications Bachelor’s degree in Computer Science, Information Systems, Finance, Math or a related field (master’s degree a plus). At least 2 years of data engineering experience. Proficiency in SQL, database management systems (e.g., MySQL, PostgreSQL, Oracle), and data warehousing solutions. Familiarity with Google Cloud Platform (GCP), specifically BigQuery and Airflow. Excellent problem-solving, attention to detail, and commitment to high-quality work. Strong communication and collaboration skills for a fast-paced, team-oriented environment. Outstanding verbal communication for effective interaction with overseas teams. Preferred Qualifications Experience with financial industries, payment systems, or fintech platforms. Knowledge of data governance practices and regulatory requirements in finance. Experience with scripting languages (e.g., Python, R) for data analysis and automation. Certification in data management or related technologies. Note: At Airwallex, you can make an impact in a rapidly growing, global fintech. You’ll have a competitive salary plus equity, a collaborative open office, team-building events, and a creative environment. Equal opportunity Airwallex is proud to be an equal opportunity employer. We value diversity and hire based on merit, qualifications, competence, and talent. We do not discriminate based on color, religion, race, national origin, sexual orientation, heritage, citizenship, sex, marital status, disability, gender, or any legally protected status. If you require accommodation due to a disability or special need, please let us know. Airwallex does not accept unsolicited resumes from search firms/recruiters. We will not pay fees to search firms/recruiters unless an agreement is in place for specific open position(s). If approached by someone claiming to represent Airwallex, please verify with our team. Seniority level Entry level Employment type Full-time Job function Information Technology Referrals increase your chances of interviewing at Airwallex by 2x Get notified about new Data Engineer jobs in Singapore, Singapore . #J-18808-Ljbffr