Data Engineer (all genders)

As a Data Engineer at PRODYNA you will design and implement data pipelines and integration blocks to handle large data volumes. You will plan backend services for data provisioning and work on cloud-based deployment and optimization of pipelines. You’ll ensure data quality and provide aggregated data for analyses while capturing customer requirements. This role offers collaboration with clients across diverse industries and opportunities to shape challenging, scalable data solutions.

• Welcome Days and networking with mentoring
• Free choice of laptop and smartphone
• No hierarchie and regular teambuilding
• 30 days vacation, flexible working time, mobile working, sabbatical option
• PRODYNA Academy with trainings and 400 Euro/year for online courses
• Job ticket or job bike option

• Design and conceptualize data pipelines and data integration blocks for high-volume data systems
• Plan and implement backend services for data provision and usage using modern frameworks
• Optimize pipelines and integrate them into cloud platforms
• Develop assets to ensure data quality, cleanse data, and provide aggregated data for analyses
• Record and specify customer requirements and translate them into technical solutions

• Several years of professional software development experience, especially in data-driven projects
• Knowledge in developing pipelines and integration paths and in designing high-performance interfaces
• Engineering mindset for foresighted architecture, automation, stability, and maintainability
• Knowledge of Big Data architectures and technologies (SQL & NoSQL, Spark, Kafka, Elastic)
• Programming skills (Python, Java, .NET Core, etc.)
• Interest in cloud tools like Databricks, MLflow, Azure Synapse, Azure Data Factory or AWS alternatives
• Fluent German and very good English skills

• Team-oriented collaboration
• Foresight in planning and architecture
• Customer-facing communication
• Big Data architectures (SQL, NoSQL)
• Spark
• Kafka