Dataflow Engineer

Mindbox is a tech-driven company connecting top IT talents with technology projects for leading enterprises across Europe, focusing on consulting, engineering, and talent to build meaningful digital solutions.

• 4+ years as a Dataflow Engineer, Data Engineer, or similar role working with large datasets and distributed systems.
• Proficiency in Python and/or Java.
• Hands-on experience with data pipeline orchestration tools (e.g., Google Dataflow).
• Strong knowledge of Google Cloud services (BigQuery, Dataflow).
• Expertise in ETL frameworks, real-time data streaming, and processing.
• Familiarity with data formats like JSON, Parquet.
• Knowledge of SQL and NoSQL databases, data governance, and security best practices.
• Strong problem-solving abilities for complex data integration issues.
• Excellent communication skills for collaboration with technical and non-technical stakeholders.

• Design and build data pipelines: develop and implement efficient pipelines for collecting, transforming, and storing data across multiple platforms.
• Data integration: integrate data from diverse sources, including cloud platforms (Google Cloud), databases (SQL/NoSQL), APIs, and external services.
• Optimize data flow: troubleshoot and fine-tune existing pipelines for optimal performance.
• Data transformation: implement ETL processes to convert raw data into analytics-ready formats.
• Collaboration: work with cross-functional teams to understand data needs and provide solutions; support applications during weekends or non-office hours when needed.
• Automation & scalability: build scalable, automated workflows to handle large data volumes with high reliability and low latency.
• Monitoring & maintenance: set up monitoring and alerting systems to ensure minimal downtime and maximum performance.
• Documentation: maintain clear documentation of data flows, pipeline configurations, and processing logic.

Only candidates able to work in a hybrid model with 2 days per week from the office in Kraków are considered.