Data engineer állások, munkák it programozás, fejlesztés területen

• Develop and Implement: Build and maintain platform solutions that improve the reliability, security, and scalability of our Database Platform infrastructure.
• Operational Excellence: Apply cloud infrastructure, networking, and CI/CD best practices to support our operational data storage solutions.

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...

• Data pipeline development
• Data integration
• Data warehousing
• Data modelling
• Data quality and governance
• Performance optimization
• Collaboration with data scientists and analysts
• Technology selection
• Security and compliance
• Monitoring and troubleshooting

Design and maintain scalable Lakehouse architectures and data pipelines using Azure Data Factory, Databricks, and Microsoft Fabric to support analytics and AI products....

• Delivery on complex projects individually or by leading small delivery teams
• Management of customer relationships alone or in collaboration with a Project Manager
• Support of pre-sales process
• Mentoring of more junior engineers
• Contribution to hiring best-in-class data talent

• Design, develop, and deploy high-performance machine learning models
• Lead the design and analysis of large-scale experiments
• Architect and implement robust data pipelines and feature engineering processes
• Evaluate and refine existing algorithms
• Act as a strategic advisor to leadership

• Designing, implementing, testing, and optimizing reliable, efficient, and high-quality data pipelines
• Automating the extraction, loading and transformation of data from a wide variety of sources
• Developing solutions for the automated acquisition of data from source systems

• Identification of root cause for unpriced parts with existing customer orders
• Assignment of corrective actions to responsible departments based on analysis
• Active follow-up on open assignments, especially high-priority issues
• Uploading identified cost to costing system

• Creation, maintenance and integrity of global data in ERP systems related to all business partners, items and reference tables
• Facilitation of the workflow process in the ERP system
• Review of requests for new or modified business partners to ensure alignment with sourcing or commercial strategy

About Givaudan Givaudan is a global leader in Fragrance & Beauty and Taste & Wellbeing. We celebrate the beauty of human experience by creating for happier, healthier lives with love for nature. Together with our customers we deliver food experiences, craft inspired fragrances and develop beauty...

• analyze complex databases, data streams, and large datasets to derive valuable insights and actionable recommendations
• develop, implement, and optimize algorithms and analytical models to improve existing business processes

• Creation, maintenance and integrity of US data in ERP systems related to all business partners, items and reference tables
• Facilitation of the workflow process in the ERP system
• Review of requests for new or modified business partners to ensure alignment with Sourcing or Commercial strategy

• Leading a cross-functional Product Driven Organization team in building advanced analytics and cloud-native data products in the EU Sales and CO2 Compliance domain
• Bridging the gap between complex statistical modeling, cloud architecture, and strategic senior executive decision-making

About VAT Group At VAT, we change the world with vacuum solutions. As the world's leading supplier of high-performance vacuum valves, we have been driving innovation for more than 60 years. With over 3,200 employees worldwide, we operate from our headquarters in Haag, Switzerland, with...

• Development and optimization of AI applications for production and development processes
• Analysis of large production, quality, and process datasets
• Creation of dashboards and data models for data-driven decision-making
• Development of machine learning models for quality improvement

• Design, develop, and implement complex and scalable data solutions on the AWS cloud platform
• Design, build, and optimize data pipelines to ensure efficiency and reliability
• Write clean, efficient, and maintainable SQL and Python code
• Develop and maintain shell scripts to support automation

• Operation of Power Platform components within the Cloud Data & Analytics Platform
• Monitoring platform usage, performance, and capacity
• Management and maintenance of Power BI gateways and secure data connections to Azure Lakehouse backend
• Oversight of role-based access control and workspace permissions

• Development and optimization of AI applications for production and development processes
• Analysis of large production, quality, and process datasets
• Creation of dashboards and data models for data-driven decision-making
• Development of machine learning models for quality improvement

• Design and implement enterprise-scale data pipelines and advanced analytics dashboards
• Develop and optimize data ingestion, transformation, and modeling workflows across structured data environments and cloud-based platforms

Scientific Assistant – Biomedical Data Science & Spinal Cord Injury Research Scientific Assistant – Biomedical Data Science & Spinal Cord Injury Research The Biomedical Data Science Lab investigates data-driven solutions for healthcare applications with a focus on neurological conditions and...