The Impact You Will Create

As a Data Engineer, you will build and scale the data backbone that powers tailored recommendations for millions of customers daily. You will design high-throughput data pipelines, operationalize Machine Learning models on Google Cloud Platform (GCP), and build robust microservices to serve real-time personalized experiences.

If you thrive on handling massive retail datasets, leveraging Databricks, and establishing modern software engineering practices in production, this role is for you.

• Data Pipeline Engineering: Design, build, and optimize large-scale batch and streaming data pipelines using PySpark on Databricks to process complex retail and customer interaction datasets.
• Pipeline Deployment & Orchestration: Package, deploy, and maintain robust data workflows, heavily leveraging modern patterns like Databricks Asset Bundles (DABs) for standardized lifecycle management.
• Microservices & API Development: Develop and maintain high-performance, low-latency APIs in Python (FastAPI) and Kotlin to deliver recommendations downstream to consumer-facing applications.
• Infrastructure & Automation: Provision and manage scalable cloud infrastructure using Infrastructure as Code (IaC) and orchestrate containerized workloads on Kubernetes (GKE).
• Database Management: Structure, query, and optimize non-relational storage layers utilizing MongoDB for fast data lookup and feature retrieval.
• CI/CD & DevOps: Build, test, and automate CI/CD release pipelines using GitLab CI/CD, ensuring strict code quality, zero-downtime deployments, and system reliability.

Experience and Skills You will Need

• Big Data Stack: Proven, hands-on experience developing production-grade data pipelines with PySpark on Databricks. Experience with Databricks Asset Bundles is strongly preferred.
• Cloud Infrastructure: Strong hands-on experience in Google Cloud Platform (GCP), including cloud-native storage, compute, and networking services.
• DevOps & IaC: Demonstrated proficiency with Kubernetes deployment and management, alongside Infrastructure as Code frameworks (e.g., Terraform).
• API Development: Strong programming skills in Python (FastAPI preferred) and/or Kotlin for building scalable backend services.
• Database Experience: Practical experience working with MongoDB or similar NoSQL databases for real-time applications.
• CI/CD & Source Control: Deep familiarity with version control and pipeline design using GitLab.
• Mindset: Strong problem-solving skills, focus on code maintainability, and enthusiasm for scaling recommendation engines in a fast-paced retail ecosystem.

Our Offer

• 25 days annual leave + 1 day annual leave after 5 years in the company
• Meal tickets
• Additional health insurance
• A good work life balance with flexible working time
• A pleasant and diverse environment with regular events, team buildings and stimulating activities
• A huge array of tools & technologies available on the spot and ready for a steady personal development
• Variety of opportunities with one of the strongest and largest retail companies in the world
• You will be part of an international team composed of people from different countries and backgrounds
• Onboarding and support/mentoring