Java software engineer engineering tools állások Németországban (it tanácsadó, elemző, auditor)

Design, implement, and build data and AI solutions adding business value (Service Efficiency, Sales) – linking strongly to IOT data and other proprietary data sources...

• You will support on extracting, loading and processing (cleaning and transforming) complex data across different industries
• You will use your technical expertise to develop, test and deploy ML models based

• Data Product Development: Design, develop, and deploy scalable data products that provide meaningful insights to business stakeholders.
• Data Mart Infrastructure: Build and maintain a robust data mart infrastructure within AWS Redshift to support reporting needs.

Drive and operationalize our corporate strategy on inbound and outbound FOSS...

Innovating with Line of Businesses (LoBs)​, advising on and solving their research challenges, as well as developing together prototypes and new features...

• Build internal tools and AI-driven features to automate research workflows and accelerate global market research projects
• Implement and extend backend and frontend services using Python, Django, HTMX and JavaScript, including RESTful APIs, data models, and background tasks

Develop and drive the implementation of Cloud Data Security strategy in alignment with the Product Manager, Tech Lead, and Engineering Manager....

• A dynamic and interdisciplinary research environment
• Hands-on experience with EEG and fNIRS data acquisition and lab equipment
• Exposure to state-of-the-art methods in neural signal processing and data curation

• scientific research and Development of tools for efficient HPC system operation and monitoring
• research and Development of data-driven and AI-based optimizations for HPC operation
• collect and evaluate requirements for operation software

Serve as a trusted advisor for HANA Cloud migrations, guiding customers in transitioning from legacy systems to cloud-native data platforms while connecting solutions to business outcomes....

• Design and lead development of AI products for business-specific use cases.
• Mentor and guide the software engineering team, setting clear technical directions and providing architectural oversight.

• Assess processes to identify improvement and automation opportunities.
• Collaborate with stakeholders and cross-functional teams to define actionable solutions.
• Define the needs for application and data landscape to enable automation and AI integration.

• Collect, clean, and analyze large datasets to identify trends and insights
• Develop and maintain dashboards and reports to support decision-making
• Perform data analysis to inform risk strategies
• Identify opportunities for process improvement and automation

• Design, develop and maintain interactive Power BI reports and dashboards to support various business functions
• Implement automated reporting workflows based on predefined thresholds, alerts, and KPIs to proactively notify stakeholders of key business changes

• Lead technical discovery sessions to deeply understand and map complex merchant requirements.
• Design and present tailored payment solutions, clearly mapping Mollie's APIs and products to specific business needs.