Senior Data Engineer

Responsibilities:

• Design and implement data pipelines from the ground up (ETL, real-time data processing)
• Define and establish the data architecture
• Integrate data from multiple sources (IoT sensors, Shopify, weather data, and other third-party APIs)
• Collaborate with the Data Science team to deploy predictive algorithms (e.g., forecasting store occupancy based on historical data)
• Prepare the environment for future adoption of Apache Flink (Java) for streaming data
• Ensure data quality, scalability, and security within GCP infrastructure

Requirements:

• Strong Python expertise (pipeline development, ETL)
• Hands-on experience with Google Cloud Platform (BigQuery, Pub/Sub, Dataflow or similar)
• Familiarity with Apache Flink or willingness to learn (Java-based)
• Solid Backend Engineering background (e.g., Typescript, system architecture)
• Experience integrating external data sources (APIs, e-commerce platforms, weather data)
• Excellent communication skills and ability to work independently
• Minimum 4–5 years of professional experience in Data Engineering / Backend development
• Fluency in English both written and spoken

Nice to have:

• Experience with AI / Machine Learning projects
• Exposure to IoT data (sensor-driven, event-based architectures)
• Knowledge of orchestration tools (Airflow, Prefect)
• Consulting experience

Offer:

• Private medical care
• Co-financing for the sports card
• Life insurance
• Constant support of dedicated consultant
• Employee referral program