Power platform developer consultant állások Németországban (programozó, fejlesztő)

As Lead Engineer (f/m/d)* Backend, you will take over the strategic, technical and disciplinary responsibility for one engineering team on our Agent Platform....

• Develop Python code to access and gather a large variety of geological databases into a consistent data catalogue
• Develop data processing pipelines to organise, prepare and transform the data into a format suitable for direct integration within models

Lead the design, development, and evolution of suena's backend and API infrastructure—ensuring scalability, performance, and reliability as our platform grows....

implement and maintain software applications and IoT systems on AWS using Python, SQL, and Linux, and continuously optimize application performance and identify areas for improvement....

• Design, develop, and maintain applications.
• Optimize and enhance existing applications and infrastructure.
• Ability/interest to work with machine learning.
• Collaborate and communicate with various teams within the company.
• Ensure all applications reflect our internal policies and standards.

Analysis: you will support our partners in innovative projects and develop customized technological concepts that make our processes easier and more efficient....

Our Berlin Technology Centre has a strong focus on promoting technical excellence – our engineers work at the forefront of financial services innovation using cutting-edge technologies. You will work alongside the brightest minds in the business, as you develop your digital skills and explore where...

• System Ownership & Lifecycle:
• Own the entire system life cycle
• for our public cloud-based infrastructure, including requirements gathering, architecting, vetting, building, and operational management.
• Automation & Operational Efficiency: Drive significant improvements in
• operational efficiency

• Collaborate with cross-functional teams to define data requirements and ensure data quality
• Support the data engineering team in reconciling data between the new and the legacy systems
• Participate in monitoring, troubleshooting, and resolving data processing issues

• Implementation of software solutions for research purposes
• Translation of research code into robust software (e. g., optimization, refactoring)
• Contribution to research projects to allow deployment (containerization, virtualization)