Data Engineer

Momox operates a second-hand retail business dedicated to environmental sustainability. The company manages a platform that facilitates the trade of used books, media, and fashion items.

• Own the end-to-end pipeline that creates the unified customer_uuid across Books & Media and Fashion;
• Maintain and evolve customer identity master data with a focus on accuracy, reliability, and production quality;
• Improve the 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.

• 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;
• 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, Cloud Run Jobs, GCS, event-driven patterns in GCP, Pub/Sub as a source in data pipelines, familiarity with data format trade-offs such as Parquet and Avro, experience with dbt, exposure to downstream BI use cases, experience in e-commerce or marketplace environments, German language skills.

• Flexible working hours;
• Hybrid work model with 20 in-office days per quarter;
• Option to work from EU countries for up to 6 weeks per year;
• Budget for individual professional development including language classes, training, and conferences;
• Ergonomic workspace with height-adjustable desks and choice of MacBook or ThinkPad;
• Bose noise-cancelling headphones provided;
• Office dogs allowed;
• Sports activities and discounted memberships for Urban Sports Club or Wellhub;
• Monthly vouchers for momox Fashion and medimops shops;
• Company discounts from partners;
• Team events;
• Half a day off on birthday, December 24th, and December 31st.