As an Analytics Engineer in the Buyer, Supply & MLC area AE team, you’ll design, build, and maintain the business-critical data pipelines that drive Vinted's core product experience. You will develop robust, future-proof pipelines that ingest, process, and monitor data across the entire member journey, spanning Buyer (search, catalog, homepage), Supply (listing creation, attributes, categories), and Member Lifecycle MLC (push notifications, banners, CRM campaigns). While you will collaborate across the entire space, typically you will focus deeply on one of these specific domains.
You’ll partner closely with cross-functional Product Management, Data Science, and Operations teams across these three pillars, alongside a broader 40+ person Analytics Engineering Guild where you’ll leverage shared patterns, code reviews, and reusable dbt and Python components. In this end-to-end role across BigQuery, dbt, and Airflow, you’ll transform raw user behavior, catalog events, and CRM inputs into pipelines that power our ML models, trusted reporting datasets, and clear domain metrics.
You will report to the Analytics Engineering Manager for Buyer, Supply & MLC.
- Architect, build, and maintain efficient, scalable, and reliable new data models and pipelines in dbt/BigQuery/Looker that turn complex buyer journeys, seller behaviors, and CRM metrics into decision-ready datasets.
- Continuously consult stakeholders within the company to collect data needs, translating these business requirements directly into functioning pipelines and robust data models.
- Ensure end-users are able to optimally use the data models by driving platform optimization, writing clear documentation, conducting training, and monitoring the adoption of best practices.
- Perform root cause analysis in case of data quality or process issues in production, owning reliability end-to-end and shipping fixes that prevent repeat failures.
- Implement data quality checks and controls (tests, regressions, anomaly detection) to ensure the highest integrity for core metrics like search conversion, listing success rates, CRM campaign click-throughs, and member retention.
