Wise is a global technology company, building the best way to move and manage the world’s money.
The Finance Squad ensures that financial processes run in an efficient, scalable, and controlled manner.
The Data Onboarding team operates alongside Core Accounting, Finance Implementation, and Data & Assurance.
Responsibilities
Design, build, and optimize robust end-to-end data pipelines on top of the Trino + Iceberg Lakehouse stack.
Own the extraction, cleaning, and modeling layers to progressively refine raw event logs (Bronze) into verified subledgers (Silver) and structured Gold metrics.
Work closely with high-throughput messaging queues (Kafka) and real-time computation models to maintain data freshness SLAs.
Embed rigorous, automated reconciliation checks within the data pipelines (e.g., balance and double-entry validations).
Partner directly with finance controllers, analysts, product and engineering to turn complex corporate finance needs into production-ready data schemas.
Address data scaling constraints, structural technical debt, and compute optimizations.
Assist and coach mid-level/junior engineers within the team, performing thorough code and technical design reviews.
Requirements
Proven experience building data infrastructure using Trino / Presto and open table formats like Apache Iceberg or Delta Lake.
Deep expertise in Medallion Architecture patterns, Star Schemas, and processing semi-structured financial data logs (JSON/Avro).
Expert proficiency in data transformation engines (such as dbt) and scheduling tools (such as Airflow).
Solid understanding of event-driven architectures and streaming processing via Apache Kafka.
Proficiency in Python, SQL, or an Object-Oriented language (Java/Scala).
Nice to have: experience operating data assets within a regulated SOX/PCAOB compliance environment.