Analytical állások XI. kerületben (projektmenedzsment)

• Act as a key connection with business stakeholders, super users, architects, and developers.
• Gather and document business requirements for your assigned sub-domain.
• Contribute to functional specifications and process modelling (“as-is”, “to-be”).

• Leading projects related to digital transformation, applications, and calculator development on both domestic and international levels
• Ensuring project budget, deadlines, and scope
• Managing communication with clients and maintaining relationships with internal and external stakeholders

• Development of agile teams to ensure proper implementation of Agile/Scrum
• Principles and the adoption of Scrum values
• Guides, trains and coaches the team/s to work in an Agile way

• Lead end-to-end project management, including planning, resource allocation, budgeting, reporting, execution.
• Define tasks, properly allocate resources and oversee project execution to ensure timely delivery.

Conduct in-depth discovery sessions with clients to understand their business and technical requirements Analyze client needs and translate them into actionable technical solutions Identify client pain points and objectives, and propose effective solutions Collaborate closely with the sales team to...

Architect and implement cloud-native data solutions using GCP (BigQuery, Dataflow, Pub/Sub, Dataproc, Cloud Composer, Cloud Storage) Lead the design and development of complex data pipelines and distributed processing frameworks that ensure scalability, performance, and operational reliability...

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 Analyze client specific requirements and define data model to support the business, reporting and...

Implement and maintain large‑scale data pipelines and the Azure/Databricks data platform in close collaboration with the Architect, contributing to design discussions and proposals. Build robust, scalable pipelines using Azure Databricks (PySpark / SQL), integrating data ingestion, processing,...