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

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.

• 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
  
  

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 skills and the ability to explain technical decisions clearly

Nice-To-Have:

• Experience with Splink and probabilistic record linkage tools
• Experience with Cloud Run Jobs, GCS, and event-driven patterns in GCP
• Experience with Pub/Sub as a source in data pipelines
• Familiarity with data format trade-offs such as Parquet, Avro
• Experience with dbt
• Exposure to downstream BI use cases
• Experience in e-commerce or marketplace environments
• German language skills