Here at Fashion Cloud we are transforming the fashion industry and supporting our customers through our solid base of software products. We are seeking a software engineer to help us grow and maintain our web platform.

Join our dynamic and innovative team as a Senior Backend Engineer (Data Engineering), where you’ll play a key role in building and maintaining scalable ETL pipelines that process millions of fashion product records. You’ll work in two-week sprints, contributing to both feature development and system design in an environment that encourages autonomy and ownership.

• ETL Pipeline Development: From planning to production, you’ll be hands-on in building data processing systems that handle massive volumes of fashion product data, images, and pricing information.
• Tech Stack Proficiency: Work with Node.js for backend development, Dagster for orchestration (experience with similar tools like Airflow is also valuable), and manage data processing workflows that power our entire platform.
• Cloud Experience: Build and maintain scalable data systems in AWS, using services like S3, ECS, Lambda, EC2, and RDS, and maintain systems through Terraform.
• System Design and Architecture: Help define the structure of new data processing services and ensure our ETL pipelines are robust, scalable, and ready to handle the complexity of fashion data at scale

You’re an experienced backend engineer with strong data engineering expertise who brings a deep understanding of building and maintaining large-scale data processing systems. With 5+ years of hands-on experience and ideally having held a senior or senior+ role, you bring the following skills:

• Strong hands-on experience in ETL pipeline development and large-scale data processing systems
• Proficiency in Node.js (TypeScript) for backend development
• Familiarity with workflow orchestration tools such as Dagster, Airflow, Prefect, or Lobster
• Experience with queueing systems like Apache Kafka, RabbitMQ, AWS SQS, or AWS Kinesis
• Solid knowledge of cloud platforms (AWS preferred), with hands-on experience in services such as S3, ECS, Lambda, EC2, and RDS
• Experience with Infrastructure-as-Code (IaC), with knowledge of tools like Terraform being a plu