Data Engineer
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Job Description
Data Engineer responsible for managing critical pipelines and customer identity data assets for Europe's leading platform in e-commerce. Collaborating with data engineers and analysts to deliver data-driven solutions.
Responsibilities:
- 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
Requirements:
- 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
Benefits:
- Healthcare insurance
- Educational budget
- Challenging tasks and professional development, knowledge & best practice sharing
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