Senior Data Engineer (m/f/d) – Customer Identity Resolution

Our mission We are on a mission to save our planet - one second hand product at a time. As Senior Data Engineer, you will own one of our most business-critical data assets: the system that links customer identities across our businesses and powers better decisions in marketing, CRM, reporting, and analytics. You will join our Business Intelligence & Data Engineering team and work closely with Data Engineers and Business Analysts to build reliable, scalable, and trustworthy customer identity data. Your mission Own the end-to-end pipeline that creates the unified customer_uuid across Books & Media and Fashion Maintain and evolve our customer identity master data with a strong focus on accuracy, reliability, and production quality Improve our probabilistic identity resolution model and make matching decisions measurable, transparent, and explainable Build scalable and cost-efficient data pipelines across BigQuery, GCS, and Cloud Run Jobs Introduce diagnostics, monitoring, and structured validation for every relevant model change Identify and resolve edge cases in customer matching logic before they become production issues Work closely with business and technical stakeholders to turn complex matching challenges into robust data solutions Our Tech Stack BigQuery SQL Python Airflow Splink Google Cloud Storage Cloud Run Jobs Pub/Sub Your profile Must-Have: 5+ years of experience in production data engineering Strong experience with BigQuery and advanced SQL in large-scale analytical environments Strong Python skills for production-grade data engineering Solid Airflow experience and a strong understanding of reliable orchestration patterns Hands-on experience with incremental pipelines and idempotent data processing Experience with probabilistic record linkage or entity resolution in production Strong understanding of data quality, matching logic, and precision/recall trade-offs A careful, structured, and ownership-driven way of working Strong communication