Senior Data Engineer II - Scalable Growth
Wise
Overview
In this role you’ll lead data architecture and scalable pipelines to support Wise's global marketing engine. You’ll bridge platform engineering and analytics, ensuring reliable, high-volume data flows and a unified customer view. You’ll work with cross-functional teams to turn data into a platform for growth, mentoring engineers and shaping the MarTech stack. This is an opportunity to elevated data capabilities and directly influence customer acquisition at scale.
Responsibilities- Audit and elevate data pipelines and streaming architectures for reliability and scale
- Productionize PoCs into scalable Airflow/dbt workflows for CDP datasets
- Define data ingestion, cleansing, and transformation standards in collaboration with analytics
- Own MarTech infrastructure and build end-to-end in-house solutions for tools like Braze and HighTouch
- Lead technical scoping, discovery, and architectural design for broad problem spaces
- Coach and mentor software engineers on data best practices and reviews
- Advanced proficiency in Python and Big Data pipelines (Kafka Streams, Event Streaming)
- Hands-on dbt for data transformations and Airflow for orchestration
- Strong data architecture background with production-grade quality and governance
- Product and discovery mindset to scope and drive end-to-end solutions
- Excellent cross-functional stakeholder management to translate marketing needs into engineering roadmaps
- Strong communication across tech, marketing, and analytics
- Mentoring and code-review/tutoring mindset
- Ability to work in ambiguous, complex problem spaces
- Python
- Big Data architectures
- Kafka Streams / Event Streaming
Reference: WJ-747_30945733