Senior python developer állások Külföldön (adatbázisszakértő)

• Architect and implement high-reliability backend services (using TypeScript & Rust) that support core blockchain-enabled products.
• Build APIs, data pipelines, and internal tooling to streamline platform scalability and performance.

• Design, implement, and manage applications in the energy sector, with focus on trading and scheduling tools
• Partner with trading department to understand business needs and challenges, and propose innovative solutions leveraging your technical expertise

implement and productionise ML-based services on our AI- and big-data-platform Databricks, using Python, SQL and Linux....

You will work on AI/GenAI, Business Intelligence, Data strategy & data governance, Data foundation and data architecture, and Intelligent Automation topics on a project basis, for and in collaboration with customers throughout Switzerland and internationally....

• Central responsibility for solutions in MDM/MDG, PIM and GS1/GDSN
• Provision of required data endpoints with aggregated data from various (sub-)systems for Business Intelligence & Analytics solution in coordination with the specialist departments

• Design and implement robust, scalable systems using the latest market technologies
• Refactor and optimize the current code-base to improve robustness, scalability and maintainability
• Design and implement extensions to the existing e-banking back-end solution

• Implementation and maintenance of applications
• Build user-friendly Web Forms for healthcare and administrative processes.
• Third-party application integration, complex SQL requests development (Sybase ASE).
• Optimize the global stability and performance of the system.

• Design, Prototype and experiment, turning new ideas into tangible MVPs and proofs of concept through refining them with feedback from consultants and clients.
• Lead the development of AI products tailored to real business challenges — from concept to scalable implementation.

• Design, optimize, and maintain high-performance databases, data pipelines, and APIs for suena's energy trading and analytics platform.
• Model complex time-series data, enable robust integrations with modelling and data science teams, and ensure data reliability and scalability.