Data engineer f m d állás, munka

• Champion an enhanced client experience across supported locations by proactively identifying and resolving operational issues.
• Maintains key performance metrics (KPIs) related to service quality, efficiency, and customer experience to drive continuous improvement and client productivity.

Design and develop machine learning models and algorithms for various applications. Test and evaluate the performance of these models and algorithms. Collaborate with the applied science teams to develop and implement NLP solutions for processing large document sets. Develop and support semantic...

• Manage strategic and operational projects across multiple systems and teams in the payments area
• Evaluate and translate business requirements to ensure technically sound and efficient solutions

• Assess processes to identify improvement and automation opportunities.
• Collaborate with stakeholders and cross-functional teams to define actionable solutions.
• Define the needs for application and data landscape to enable automation and AI integration.

• Design and lead development of AI products for business-specific use cases.
• Mentor and guide the software engineering team, setting clear technical directions and providing architectural oversight.

Design, code, review and test assigned features and user stories, in accordance with the agile methodology employed by Diligent Collaborate with the product owner and engineering manager in the analysis and documentation of technical requirements and user stories for assigned features Assist with...

• In your role as Project Manager, you will lead the business transformation in our Sales and Service organizations
• In these SAP and Salesforce rollout projects you ensure the seamless integration of our new global digital process platform across departments

• Shape the Future: Identify and define IT opportunities that drive real business value across BENELUX and Eastern Europe.
• Be the Trusted Advisor: Partner with stakeholders to turn business needs into smart, scalable solutions — from concept to implementation.

• Structuring, planning, monitoring and controlling of complex organizational and technical projects in a national as well as international environment
• Achieving the project cost, quality and schedule goals

• Support end-to-end product and vendor lifecycle management, ensuring system accuracy and product adoption and creation
• Support the vendor pricing strategy through collaboration with the profit team around exception and corrective management

As the owner of the transformation roadmap, you ensure alignment across all business functions and country organizations...

• Project Management: Implement SAP upgrades
• Strategic Planning: Create comprehensive project roadmaps that align with business goals
• Risk Management: Identify and mitigate potential risks to ensure projects remain on track

• As a (Senior) Manager (m/f/d) you will independently work on commercial business processes of our customers and map them in their SAP systems
• You will be responsible for the continuous and further development of the system landscape as well as the interface development

• Design, develop, and maintain high-quality software across the full stack for our core instrument software.
• Play a key role in building and evolving robust back-end controllers using C#/.NET that interface with instrument hardware and handle data processing.

• Champion an enhanced client experience across supported locations by proactively identifying and resolving operational issues.
• Maintains key performance metrics (KPIs) related to service quality, efficiency, and customer experience to drive continuous improvement and client productivity.

• You will lead a hybrid business and IT rollout team, managing operations in a dynamic international environment
• Your responsibilities will include implementing SAP S/4HANA and Salesforce across our global Sales & Service sites, based on a centrally integrated template

• Develop and optimize our job data crawling pipeline, ensuring high-quality job data acquisition.
• Implement and refine import mapping, improving data accuracy and classification.
• Support the integration of external data sources via APIs or scraping frameworks.

Develop and implement LLM based agentic solutions for processing large document sets. Design and develop machine learning models and algorithms for various applications. Test and evaluate the performance of these models and the solutions. Develop and support semantic search, structured retrieval,...

Project Management and Oversight: Ensure the project is delivered on time, within budget, and to all stakeholders' satisfaction. This includes driving crucial project processes, ensuring transparency, and coordinating with various stakeholders to manage the project backlog and implementation phases...