Data kft állások Budapesten (it programozás, fejlesztés)

• High-performance simulation loops, autonomous behavior, and data-oriented design
• Improve system performance, proactively indetify technical debt
• Understanding and optimize complex dataflows
• Designing, improving, extending existing architecture
• Create technical specification based on business needs

• Lead and develop the E&P IT Operations, application, and data teams.
• Mentor the team to deliver high-quality solutions and uninterrupted operations.
• Communicate clearly regarding team goals, deadlines, and required training.

• High-performance simulation loops, autonomous behavior, and data-oriented design
• Improve system performance, proactively indetify technical debt
• Understanding and optimize complex dataflows
• Designing, improving, extending existing architecture
• Create technical specification based on business needs

• Architect and lead the development of large-scale ML systems and model pipelines
• Introduce new ML systems such as traffic sign detection, building facade detection, and other computer vision-based solutions
• Define and drive the ML technical roadmap in alignment with company objectives

You coordinate IT budgeting, forecasting, and planning processes across cost centers, projects, contracts, and investment areas. You monitor actuals against budget and forecast, analyze deviations, and prepare recommendations for management...

leading or taking part in Cybersecurity consulting or compliance related projects as expert and/or professional leader in various industry sectors...

• Writing reusable, testable, and efficient code mainly in Python
• Delivering great user experience by the development of great user interfaces
• Handling security and data protection professionally and precisely
• Collaborative work to provide technical solutions and implement new software features

• Design and implement data models in SAP BW/4HANA
• Develop and maintain SAP HANA Calculation Views
• Build and optimize data transformations using AMDP and ABAP
• Manage data lifecycle processes, including data tiering and archiving strategies
• Design and maintain BW authorization concepts

• Writing reusable, testable, and efficient code mainly in Python
• Delivering great user experience by the development of great user interfaces
• Handling security and data protection professionally and precisely
• Providing technical solutions and implementing new software features collaboratively

• End-to-end AI solution ownership from problem definition through prototype validation and production support
• Partnership with product managers and business stakeholders to translate real-world problems into data science and AI initiatives

Act as the primary functional LMS expert and support lead for learning systems within the HR organization, with a strong focus on the current LMS (e.g. Cimoio) and the transition to SAP SuccessFactors Learning,...

• Gyártási, termelési, pénzügyi és kontrolling kimutatások, KPI-riportok készítése és fejlesztése Power BI-ban, prezentálás a vezetőség és a társosztályok felé
• A forrásrendszerek adatszerkezetének feltérképezése és dokumentálása

• Provide Tier 1 helpdesk support for DSV Employee Central (DSV’s Global HRIS that is powered by SAP SuccessFactors).
• Manually update employee data in large scale.
• Helps maintain data integrity in systems by creating reports and analysing data.

• collaborating on the design and development of ML‑based applications and their backend components
• helping to select the most applicable solutions for a given business problem
• writing clean, efficient and well‑documented code
• contributing to our MLOps processes

• Create robust and scaleable services in a performance focused environment
• Implement complex features based on specification
• Maintain and transform already existing code and database
• Improve system performance, proactively indetify technical debt
• Actively participate in the desing of the application

• Translation of AI opportunities into executable technical solution designs
• Definition of integration approaches with IT and business application/data owners
• Implementation of AI use cases using enterprise AI services and LLM APIs

• Lead SAP implementation projects
• Lead SAP migration projects
• Lead SAP rollout projects
• Lead SAP transformation projects
• Manage full project lifecycle from initiation through go-live and hypercare
• Define project scope, objectives, timelines, budgets, and resource plans

• Lead customer workshops and understand business requirements
• Design Microsoft-based solutions across Azure, Microsoft 365, Power Platform, Dynamics 365, Data & AI, and Security
• Support RFPs, proposals, presentations, and solution discussions

• Design new features in flagship SaaS product
• Code new features in flagship SaaS product
• Review new features in flagship SaaS product
• Test new features in flagship SaaS product
• Refactor legacy software components
• Participate in large-scale design of future product state

• Stakeholder Management: Build strong relationships with key Business Stakeholders and manage the Super User community.
• SPOC for IT Demands: Act as the single point of contact for Business IT demands and coordinate responses within IT.