About the company
Wise is a global technology company, building the best way to move and manage the world’s money. Min fees. Max ease. Full speed.
Responsibilities
- Drive Data Architecture & Resilience: Audit, map out, and elevate current data pipelines and streaming architectures. Establish best practices for monitoring, reliability, and scale across the data ecosystem (using Python, dbt, Airflow, Kafka, and Trino/Iceberg).
- Build the Unified Customer View: Productionize PoCs into scalable Airflow/dbt data workflows to lay the groundwork for Customer Data Platform (CDP) datasets.
- Bridge Engineering & Analytics: Partner with analytics leads to define clear boundaries and standards for data ingestion, cleansing, and transformation.
- Own MarTech Infrastructure: Work alongside Engineering Leads to bring technology ownership of MarTech systems (e.g., Braze, HighTouch reverse ETL) in-house.
- Technical Scoping & Discovery: Take ownership of broad, ambiguous problem spaces. Uncover hidden challenges, propose robust architectural designs, and execute your own roadmap.
- Coach & Mentor: Elevate the data capabilities of software engineers in the squad through code reviews, architectural guidance, and hands-on mentoring.
Requirements
- Advanced proficiency in Python and proven experience architecting, deploying, and maintaining Big Data and streaming/batch pipelines (e.g., Kafka Streams, Event Streaming, Trino, Iceberg).
- Hands-on experience using dbt for scalable data transformations and Airflow for workflow orchestration.
- Strong background in data architecture.
Conditions
- Full-time position.
- Compensation: GBP 111,000 - 145,000 yearly.