Sql developer állások Külföldön (it programozás, fejlesztés)

Lead Enterprise Data Architecture design: help clients modernize complex system landscapes spanning multiple solutions (e.g., MDM, CRM, ERP, Cloud DWH) that need to be integrated. You will work with senior client stakeholders to design enterprise level architecture, pragmatic and enforceable...

• 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.

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

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.

• 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

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

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