Are you passionate about building data-driven systems with real business impact?
We are looking for a hybrid profile between a Data Engineer and a Software Engineer — someone who feels at home working with Python, building and consuming APIs, and deploying production-ready solutions in cloud-native environments.
🔧 Your Mission
You’ll be part of a multidisciplinary tech team focused on implementing AI, BI, and data/API-driven solutions that power critical e-commerce use cases — from personalization engines to real-time insights and platform intelligence.
This role is hands-on and engineering-heavy: we’re looking for someone who can design, build, and maintain backend systems as much as process and move data at scale.
🛠️ Tech Stack You’ll Work With
* Languages: Python (advanced), SQL
* APIs: RESTful APIs, FastAPI/Flask
* Cloud: Azure (preferred), AWS or GCP experience also valued
* Data Tools: Spark, Databricks, Delta Lake
* Orchestration: Airflow, Azure Data Factory
* Containerization: Docker, Kubernetes
* CI/CD: GitHub Actions, Azure DevOps, Jenkins
* Monitoring/Logging: Prometheus, Grafana, ELK stack
👤 What We’re Looking For
* Strong experience in software development, ideally with a background in data platforms
* Solid knowledge of Python, including building and consuming APIs
* Experience deploying services in containerized environments (Kubernetes)
* Familiarity with CI/CD pipelines and agile workflows
* Experience working with cloud platforms (Azure preferred)
* Ability to translate business requirements into scalable tech solutions
* Team player with a product mindset and strong communication skills