E learning állások VIII. kerületben (it programozás, fejlesztés)

• Development and customization of Microsoft Dynamics 365 applications using C#/.NET and Power Platform tools
• Building integrations between Dynamics 365 and Azure services such as Logic Apps and Functions

• Design and implement core authentication and authorization including POST /auth/token endpoint, JWT validation middleware, and entitlement enforcement layer
• Build and maintain entitlement decision cache with invalidation on entitlement changes

Development and enhancement of the MSCI Index Development Platform and the IndexMetrics Real-Time application using modern software engineering practices, Python, Azure, and AI-assisted development tools...

• Co-design and implement QA workflows using statistical diagnostics, validation rules, and anomaly detection techniques
• Apply AI/machine learning tools to identify inconsistencies, missing values, or suspicious patterns in large-scale asset datasets

• Implementation of new or maintenance of existing business solutions in SAP FI/CO module
• Provision of functional expertise, guidance, and instruction on SAP processes
• Proposal, configuration, and documentation of test business solutions according to requirements

• Research, configure, and test AI tools including Claude, Gemini, Zapier, and n8n to improve the GTM stack
• Build proof-of-concepts for AI-driven lead research, automated email drafting, meeting summarization, and information hand-offs

• Design and implement algorithms to process and analyze sensor data from sources like LiDAR, images, and satellite imagery
• Create algorithms to transform sensor data into actionable insights, such as reconstructing 3D models, segmenting spatial data, or detecting environmental features

• Vectorization of 2D data
• Manual 2D/3D GIS data manipulation
• QA/QC of point cloud classification
• Database handling
• Editing and preparing of 2D vector and 3D point cloud data for further processing

• Design and evolve end-to-end architecture across data ingestion, processing, storage, and delivery
• Define scalable data pipelines and batch or near real-time workflows
• Establish efficient data models, storage strategies, and access patterns

• Search, collect, consolidate, and validate financial and non-financial data across departments and systems
• Design, build, maintain, and automate dashboards and underlying data pipelines to provide timely, accurate insights to stakeholders

Design, develop, test, document, and deploy high quality Salesforce solutions leveraging the latest capabilities of the Einstein 1 Platform, Lightning Web Components, and modern Apex patterns...

• Design, configure, and enhance SAP PP (Production Planning) processes in S/4HANA Public Cloud
• Participation in S/4 rollouts, ensuring consistent global template adoption and local fit-to-standard workshops
• Support clients in implementing best-practice production processes

• 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 of Azure cloud infrastructure to support Databricks and data platform workloads
• Implementation of Azure cloud infrastructure to support Databricks and data platform workloads
• Management of Azure cloud infrastructure to support Databricks and data platform workloads

Performing tasks related to the position....

• Implementation of new or maintenance of existing solutions specialized in one or more SAP modules
• Provision of functional expertise, guidance, and instruction on SAP processes
• Proposal, configuration and testing of business solutions according to requirements

• Collaboration with customer teams to provide expert advisory services across a range of technologies
• Establishment of trusted advisor relationships with customers
• Guidance of customers towards achieving a healthy and secure state

• Delivery of complex data engineering 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

• Client liaison during project engagements
• Support clients through project processes
• Receive data disclosures
• Answer client questions
• Deliver final product
• Collaboration with ESG Research Data and Analyst teams
• Ensure accuracy and timely delivery of engagements

• Design, build and deploy LLM-powered pipelines and autonomous agents
• Scope and deliver AI solutions with stakeholders
• Set best practices around MLOps and production-grade AI
• Mentor developers and contribute to internal knowledge-sharing
• Lead technical discussions and deliver internal knowledge sessions