Sql developer állások Külföldön (it programozás, fejlesztés)

Design and deploy sophisticated agentic workflows using frameworks such as LangGraph, CrewAI, or AutoGen to automate complex clinical data management tasks....

• Data assets and strategy: Own pre-training, evaluation and metadata assets, shape their strategy and expand them with new data sources.
• Data roadmap and prioritization: Maintain the short- and long-term roadmap, manage the extraction backlog and coordinate dependencies.

Module Parametrization: Configure and parameterize core Avaloq trading functionality, with a direct focus on STEX workflows, transaction processing, pooling, and partial billing....

• technical analysis of business requirements from various stakeholders and implementation of the requirements in a comprehensive and modern IT environment
• preparation of impact analyses and estimates for various projects

• Build agent loops and orchestration: tool use, structured outputs, business-rule enforcement, graceful failure
• Build the integration layer (via MCP) that lets agents securely call backend systems and business APIs
• Render model output into live, streamed, accessible UI via generative-UI protocols

• Build agent loops and orchestration: tool use, structured outputs, business-rule enforcement, graceful failure
• Build the integration layer (via MCP) that lets agents securely call backend systems and business APIs
• Render model output into live, streamed, accessible UI via generative-UI protocols

• Design, build, test, and operate backend services that support payments, invoicing, ledger flows, and financial data consistency.
• Help shape the technical direction within your domain, making trade-offs explicit and aligning them with business impact, reliability, maintainability, and delivery speed.

• Understand user's problems
• Write code to solve said problems
• Communicate with users and team members
• Review other team member's code
• Continually improve code and understanding of code
• Work independently at times and with others (pairing) at other times
• Visit company sites to understand processes

• 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.

Act as the liaison between the functional teams based in Neuchatel and the Irvine-based Oracle team. This role will be an advocate for ensuring major projects, enhancements or bug fixes are addressed appropriately as part of the Oracle Team’s Sprint cycles....

• ML-based Forecasting & Pricing: Lead the development of machine learning models for inventory forecasting and pricing strategies.
• Data Management: Drive data integration, quality, quantification, and enrichment of inventory data.

• Collaborate with business stakeholders to identify technical opportunities and gather user requirements for Polarion customizations, workflows, reports, dashboards, and integrations.
• Configure, customize, and maintain Polarion ALM solutions to support engineering, quality, and compliance processes.

Support Project Delivery – Assist the program or stream lead in coordinating activities after testing and implementation, including actions, priorities, milestones, and deadlines...

• Own the end-to-end forecasting and price-elasticity models at the core of our pricing engine — from feature and model research through evaluation, deployment, and continuous monitoring
• Scale the forecasting architecture to meet growing demand for granular, product-level forecasts

Working on business analytics topics related to the sales performance of digital products within the connected car ecosystem...

• Analyze business processes and identify opportunities for automation and workflow optimization.
• Gather requirements from stakeholders and translate business needs into automation solutions.
• Develop, test, implement, and maintain automation workflows, scripts, and bots using appropriate technologies.

• The data platform end to end: ingestion, storage, and the query paths that keep millions of records fast on screen. You design it, you build it, you run it in production.
• The platform layer, directly with the CTO: infrastructure, deployments, and the path to production for the whole team.

• Improve and extend the current analytics and AI infrastructure (built around Databricks)
• Drive the data platform by observing the fast Data and AI landscape and bringing in new ideas

• Manage the IT Product Lifecycle for new and existing custom applications
• Take ownership of all activities related to the upcoming Mauser Customer B2B Portal
• Define and standardize the technology stack for custom application development

Design, build, and maintain scalable data platforms and data & AI solutions tailored to business needs, including the development of governance structures and access control concepts...