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

• 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, 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

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...

• Analysis of business requirements and translation into functional SAP SD solutions and Customizing
• Development and refinement of solution designs in cooperation with SAP SD solution architects
• Ownership of assigned SAP SD topics and support through implementation, testing, and deployment

• 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, configuration, and optimization of SAP eWM solutions in S/4HANA
• Driving global rollout activities including fit-to-standard workshops, template localization, testing, and deployment
• Collaboration with MM, SD, TM, and PP teams on end-to-end logistics flows

• 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

• Complex programming, testing and debugging functions related to the implementation of SAP modules
• Understanding requirements from provided functional designs and transforming them into technical designs
• Keeping contact with clients, functional teams, and designers

• 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

• Development and refinement of core sports betting models for predicting match outcomes
• Building and maintenance of player statistics models analyzing player performance
• Design and implementation of risk management models to optimize exposure

• 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

• Managing the project lifecycle delivery of Sustainability & Climate Corporate Solutions for the Corporates client segment
• Serving as the dedicated client liaison during each project engagement

• 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

• Delivery on complex data engineering projects across industries
• Leading small delivery teams
• Managing customer relationships alone or with a Project Manager
• Mentoring more junior engineers
• Evaluating the quality of junior engineers' work
• Contributing to hiring best-in-class data engineers

Understanding clients’ mid-term strategies and managing executive relationships with their business and IT leaders...

• Owning a revenue target across data, advanced analytics, and predictive AI
• Leading executive-level client conversations, joining deals early to diagnose the business problem, structure a solution, and build the ROI case that gets the client to sign