24 days ago
Singapore, SingaporeSenior
Responsibilities
- Design and build scalable data pipelines and data models for critical Knowledge Platform use cases and business domains.
- Partner with engineering and cross-functional stakeholders to turn ambiguous data needs into reliable, well-structured solutions.
- Own projects end to end, including system and pipeline design, performance, monitoring, data quality, reliability, and ongoing improvements.
- Contribute to technical design and execution as a senior team member while applying strong engineering judgment and ownership.
- Develop data infrastructure and supporting frameworks for real-time analytics, knowledge retrieval and indexing, model infrastructure, agent capabilities, AI interaction history, evaluation, annotation, feedback, governance, permissions, and freshness.
Requirements
- Bachelor’s degree or higher in Computer Science, Information Systems, Finance, Mathematics, or a related field.
- At least five years of experience designing and implementing scalable ETL pipelines, including batch and streaming workflows using technologies such as Apache Kafka or Apache Flink.
- Strong proficiency in SQL, database management systems, data warehousing, and data modeling for business intelligence, machine learning, and operational needs.
- Strong understanding of star, snowflake, normalized, and denormalized data schema designs.
- Familiarity with Google Cloud Platform, Databricks, and Airflow.
- Knowledge of data governance practices, the six key governance pillars, and financial-industry regulatory requirements.
- Strong problem-solving, attention to detail, communication, collaboration, and globally distributed team experience.
- Understanding of AI and interest in applying data engineering and AI in practical and creative ways.
- Preferred experience with distributed or multi-datacenter data systems, data migration, duplication, and consistency challenges.
- Preferred experience in financial services, payments, or fintech.
- Preferred scripting experience with Python or R for data analysis and automation.
- Certification in data management or related technologies is preferred.
Benefits
- Work from the Singapore office five days a week.
Tech Stack
Apache AirflowApache FlinkApache KafkaApache SparkClickHouseDatabricksGoogle Cloud PlatformPythonRSQL
Categories
Data Engineering
About Airwallex
Airwallex builds a global payments and financial operations platform for businesses, offering payment acceptance, multi-currency accounts, FX and transfers, card issuing, treasury and spend management via APIs and web apps. It monetizes through transaction and foreign-exchange fees and related account services. Founded in Melbourne in 2015 and privately held, the company serves customers worldwide, with notable users including Brex, Canva and Qantas.