Adatbázisszakértő állások, munkák XIV. kerületben

Own and maintain high-quality master data on client contacts and organisations to support EMEA Wealth lead generation. Perform web scraping and external data collection to identify potential prospects and enrich existing datasets. Update and maintain contact and organisation records within...

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,...

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...

Conducts feasibility studies and assists in determining best possible technical solutions. Identify business process/situations that could be improved with ERP or peripheral solutions. Troubleshoot, analyse and fix performance related issues, also further develop overall Performance Benchmarking...

Build and refine backend services and data pipelines Develop reliable Python workflows/services and relational database solutions for high-quality data delivery Lead technical design for complex roadmap work-data collection, analytics and distribution Improve reliability and scalability of...

Work with Oracle ERP systems to support applications Automate business processes Contribute to solution development and enhancement Participate in application upgrade projects...

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...

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...