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This role is part of the Data Platform team, where we design and maintain the core data infrastructure that serves Product, Marketing, Growth, and Analytics. You will focus on capturing canonical domain events and transform them to high-quality datasets that downstream systems — from warehouses to activation tools — can rely on with confidence.
Job Responsibility:
Model event data in the warehouse to support analytics, growth metrics, and lifecycle analysis
Ensure data quality, consistency, and observability across event pipelines
Collaborate with marketing and growth teams to enable reliable activation and personalization through tools such as Braze
Ensure GDPR and PII understanding and compliance across data flows, including consent handling and secure storage
Contribute to architectural decisions and best practices within the Data Engineering team
Act as the technical owner for Braze, including: Defining and maintaining the event and user attribute contracts that power messaging, journeys, and personalization
Ensuring data correctness, timeliness, and consistency between the warehouse and Braze
Partnering with Marketing and Growth to enable safe, scalable activation patterns
Requirements:
Several years of experience as a Data Engineer, Analytics Engineer, or data-heavy backend engineer
Strong experience working with event-driven data models and behavioral data
Hands-on experience with event ingestion platforms (Segment or similar)
Solid programming and data skills (e.g. SQL, Python, and/or JVM-based languages)
Experience building and maintaining data pipelines in a modern cloud data stack
A strong understanding of data quality, observability, and reliability
The ability to understand and explain cause and effect in marketing and product data
Clear written communication skills in English and comfort working cross-functionally
Nice to have:
Experience working closely with martech platforms such as Braze
Previous experience as a Growth Engineer or in growth-focused product teams
Experience with streaming or near real-time data systems
Familiarity with user lifecycle frameworks and activation metrics
Experience working with GDPR-sensitive datasets at scale
What we offer:
A diverse and inclusive work environment
Continuous professional development
Access to a leadership program (including external personal coach)
Relevant education
Competitive compensation and benefits package, including pension contributions