Description
Compensation
The Senior Data Engineer position at Airwallex offers a salary range of $140K – $240K, along with equity and bonus opportunities.
How you'll make impact
As a Senior Data Engineer at Airwallex, you will be part of the Strategic Data team, building data foundations that support business intelligence, machine learning, and operational decision-making. Your responsibilities will include:
- Designing and implementing robust, scalable data models that support business intelligence, machine learning, and operational needs.
- Selecting appropriate schema designs, including star schema, snowflake, normalized, and denormalized models, based on the use case.
- Partnering with business teams to translate data needs into clean, structured, and well-documented models, promoting a single source of truth across data layers and pipelines.
- Building and maintaining batch and streaming ETL pipelines across the full data workflow, from ingestion and transformation through delivery.
- Maintaining data consistency, traceability, and quality across multiple data sources and domains.
- Contributing to data governance strategies, policies, and standards across areas such as data quality, stewardship, metadata, master data, privacy, security, and lifecycle management.
- Working with Data Platform Engineers and Product Managers to identify root causes of data issues and deliver efficient, scalable solutions.
- Exploring practical ways for data engineering and AI to work together across products and operations.
What we're looking for
Essentials
- Bachelor's degree or higher in Computer Science, Information Systems, Finance, Mathematics, or a related field.
- Five or more years of experience designing and implementing ETL pipelines using tools such as Informatica, Talend, Apache NiFi, or similar data integration platforms.
- Strong experience with data modeling, data schemas, ETL, and end-to-end data workflows.
- Proficiency in SQL, database management systems such as MySQL, PostgreSQL, or Oracle, and data warehousing solutions.
- Familiarity with Google Cloud Platform, particularly BigQuery and Airflow.
- Excellent problem-solving skills, attention to detail, and commitment to producing high-quality work.
- Strong communication and collaboration skills, including the ability to work effectively with globally distributed teams.
- Strength in at least one core area of data engineering, particularly data modeling or ETL, with the ability to contribute across the broader data engineering discipline.
Preferred
- Experience in financial services, payments, or fintech.
- Knowledge of data governance practices and regulatory requirements in the financial industry.
- Experience with scripting languages such as Python or R for data analysis and automation.
- Experience working with distributed or multi-datacenter data systems, including data migration, duplication, and consistency challenges.
- Certification in data management or related technologies.
Benefits
- Competitive salary and valuable equity within Airwallex.
- Collaborative open office space with a fully stocked kitchen.
- Regular team-building events.
- Freedom to be creative.
- For US-based employees, eligibility to participate in medical, dental, and vision insurance, a 401(k) plan, short-term and long-term disability, basic life insurance, and well-being benefits.
- 20 paid days of vacation and 12 paid days of company holidays in a calendar year for US-based employees.