Senior Data Engineer II – Scalable Growth

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

Key requirements

• 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

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