Data állás, munka

• Lead the design and delivery of dashboards, metrics, and analytical frameworks.
• Support the business to discover, define, and implement new KPIs, metrics, and insight models.
• Provide Business Intelligence and insight recommendations.
• Deliver senior‑level reporting and insight.

• Design, build, and maintain robust data pipelines that are scalable, efficient, and meet business needs
• Collaborate with cross-functional teams to understand and translate business requirements into data solutions

• Nehezen elérhető adatok manuális kigyűjtése SAP ARIBA rendszerből
• Adatok tisztítása, strukturálása és validálása reporting célokra
• Adatkészletek előkészítése EPM data platform feltöltéshez
• Manuális folyamatok megértése és automatizációs lehetőségek keresése

Organize meetings and follow up tasks Configure and test data migration Create and update documentation Support the IT master data team to keep current processes related to engineering changes, material master with variant management, bill of material, etc. running in a central SAP S/4 HANA system...

Design, implement and enhance data solutions for customer organizations Implementation of data integrations (e.g. load data from operative systems like ERP or CRM) Development of data platform / data warehouse in cloud platforms (e.g. data transformation and aggregation) Implementing...

Developing and maintaining data pipelines in Azure Databricks Writing transformation logic using Python and SQL Supporting data migrations and platform improvements Working within a structured, company-level Databricks framework Collaborating in a Scrum-based setup (2-week sprints, Jira, daily...

Coordinating data & analytics project deliveries Coordinating the work of other team members Leading architecture definition and data modelling Participating in implementation work Ensuring solutions are created with high quality Customer communication and demand management Driving the project to...

Design, write and execute comprehensive test plans, test cases and test scripts to validate ETL/data‑pipeline processes, data transformations, and data integrity (source‑to‑target, cross‑reference, reconciliation). Validate data extraction, transformation and loading processes for accuracy,...

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,...