Overview
In this Data Engineer role at PRODYNA you design and implement data pipelines and integration blocks to handle large data volumes. You will plan and build backend data services and enable scalable data provisioning on cloud platforms. You’re responsible for optimizing pipelines, ensuring data quality, and delivering aggregated data for analyses while capturing customer requirements. You will work closely with cross-functional teams and customers to shape robust, automated data solutions in a dynamic, tech-rich environment.
Leistungen / Benefits
- Varied technology stacks and projects
- Welcome Days and mentoring program
- Hardware: laptop and smartphone provided
- 30 days vacation and flexible working time models
- Mobile working and sabbatical option
- PRODYNA Academy with advanced trainings + 400 EUR/year for online courses
Verantwortungsbereiche
- Design and conceptualize data pipelines and integration blocks for high-volume data sources
- Plan and implement backend data services using modern frameworks
- Independently optimize pipelines and integrate them into cloud platforms
- Develop assets to ensure data quality, perform data cleansing, and provide analytics-ready aggregates
- Capture and specify customer requirements and translate them into technical solutions
Zentrale Anforderungen
- Several years of professional software development experience, especially in data-driven projects and data analyses
- Knowledge of pipeline development and integration paths; ability to design scalable system interfaces (performance optimization)
- Engineering mindset for architecture planning that enables automation, stability, and maintainability
- Knowledge of Big Data architectures and technologies (SQL & NoSQL, Spark, Kafka, Elastic) and programming (Python, Java, .NET Core)
- Interest in cloud data tools such as Databricks, MLflow, Azure Synapse, Azure Data Factory or AWS equivalents
- Fluent German and strong English skills
- Customer-facing communication
- Team collaboration
- Problem-solving orientation
- Big Data technologies: SQL, NoSQL, Spark, Kafka, Elastic
- Programming: Python, Java, .NET Core
- Cloud data tools: Databricks, MLflow, Azure Synapse, Azure Data Factory, AWS alternatives
Data Engineer (all genders) in Ludwigsburg Arbeitgeber: PRODYNA
PRODYNA ist ein hervorragender Arbeitgeber, der eine Kultur der Innovation und Teamarbeit fördert. Mit flexiblen Arbeitszeitmodellen, 30 Tagen Urlaub und umfangreichen Fortbildungsmöglichkeiten in der PRODYNA Academy bietet das Unternehmen seinen Mitarbeitern die Möglichkeit, sich kontinuierlich weiterzuentwickeln und ihre Karriere voranzutreiben. Zudem sorgt ein starkes Gesundheitsmanagement und zahlreiche Teambuilding-Events für ein positives Arbeitsumfeld, in dem jeder Einzelne geschätzt wird.
