# Data Engineer at Wynd

- Company: Wynd
- What the company does: Pilotez votre commerce unifié avec la solution retail ChapsRetail : OMS, encaissement, clienteling, fidélisation. Canaux et stocks synchronisés en temps réel. Backed by Techstars.
- Company website: https://wynd.eu
- Type: Startups
- Level: Mid level
- Location: Remote
- Work setup: Remote
- Posted: 2026-09-04
- Apply by: 2026-10-19
- Apply: https://jobs.ashbyhq.com/wynd-labs/216d74ef-d925-4bf1-ae4f-9eedc3e145f8
- Page: https://www.1752.vc/careers/jobs/wynd-data-engineer/

## About the role

We are seeking a Data Engineer to support and improve large-scale data pipelines and infrastructure. You’ll work across data collection, processing, transformation, validation, and delivery, with a focus on scalability, reliability, and performance. This is a hands-on role where you’ll work with distributed systems, large datasets, web scraping infrastructure, and production data workloads.

## What they're looking for

- Bachelor’s degree or equivalent work experience
- Python (advanced) — strong grasp of async programming, multiprocessing, and writing production-grade code for long-running data jobs
- Web scraping at scale — hands-on experience with high-volume scraping (proxies, rate limiting, anti-bot evasion). Experience with platform APIs and large media/metadata datasets (video platforms, social media)
- Distributed data pipelines — experience designing and operating pipelines across many workers/servers using task queues (Celery, Kafka, RabbitMQ, or similar)
- Data warehousing — practical experience with columnar/analytical warehouses, Databend, ClickHouse, or BigQuery strongly preferred, comfortable with complex analytical queries, partitioning strategies, cost-aware querying on cloud warehouses
- Docker & Kubernetes — containerizing workloads, writing Helm charts/manifests, managing deployments, autoscaling scraping/processing workloads

Tags: Analytics