Informacje o stanowisku
At Mindbox we connect top IT talents with technology projects for leading enterprises across Europe.
Are you passionate about building robust, scalable data pipelines that power analytics and decision-making? We are looking for a Dataflow Engineer to design, develop, and maintain efficient data workflows that ensure seamless data movement across systems.
Sounds like your kind of challenge?
#Li-Hybrid - Hybrid work model: 2 days per week from the office in Kraków
What you get in return
- Flexible cooperation model – choose the form that suits you best
(B2B, employment contract, etc.) - Hybrid work setup – remote days available depending on the client’s arrangements
- Collaborative team culture – work alongside experienced professionals eager to share knowledge
- Continuous development – access to training platforms and growth opportunities
- Comprehensive benefits – including Interpolska Health Care, Multisport card, Warta Insurance, and more
- High quality equipment – laptop and essential software provided
Experience:
- 4+ years as a Dataflow Engineer, Data Engineer, or similar role working with large datasets and distributed systems.
Technical Skills:
- 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.
Other Skills:
- Strong problem-solving abilities for complex data integration issues.
- Excellent communication skills for collaboration with technical and non-technical stakeholders.
Joining this project you’ll become part of Mindbox – a tech-driven company where consulting, engineering, and talent meet to build meaningful digital solutions. We’ll back you up every step of the way, accelerate your development, and ensure your skills make a difference.
At Mindbox we connect top IT talents with technology projects for leading enterprises across Europe.
Are you passionate about building robust, scalable data pipelines that power analytics and decision-making? We are looking for a Dataflow Engineer to design, develop, and maintain efficient data workflows that ensure seamless data movement across systems.
Sounds like your kind of challenge?
#Li-Hybrid - Hybrid work model: 2 days per week from the office in Kraków
What you get in return
- Flexible cooperation model – choose the form that suits you best
(B2B, employment contract, etc.) - Hybrid work setup – remote days available depending on the client’s arrangements
- Collaborative team culture – work alongside experienced professionals eager to share knowledge
- Continuous development – access to training platforms and growth opportunities
- Comprehensive benefits – including Interpolska Health Care, Multisport card, Warta Insurance, and more
- High quality equipment – laptop and essential software provided
,[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. Requirements: Python, Java, Google Cloud, BigQuery, ETL, JSON, SQL, NoSQL, Security Additionally: Sport Subscription, Private healthcare, Life insurance, Training budget, Small teams, Free coffee, Free snacks, In-house trainings, Modern office, No dress code.
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