Technical állások Budapesten (adatbázisszakértő)

• Design, development, and continuous improvement of the Data Warehouse environment 
• Development and optimization of ETL processes
• Administration and operation of complex SQL cluster environments 
• Re-engineering and modernization of existing SQL cluster architectures

• Assist in the development and maintenance of RPA solutions to automate business processes.
• Collaborate with stakeholders to identify automation opportunities and enhance existing workflows.
• Build and manage Power BI reports to monitor automation performance.

• Managing and Expanding Data IT team located in different countries of the Region;
• Overseeing the integration of data into the enterprise data warehouse, collaboration with department heads to ensure accurate and relevant reporting data;

• Design and maintain robust, scalable data architectures
• Build and optimize high‑performance data models for analytics
• Partner with business and engineering teams to shape data solutions end‑to‑end
• Lead data integration, transformation, and migration efforts

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...

Lead or participate in scoping the engagement, designing high-level architecture, defining subtasks, and project delivery schedules Deliver projects independently or within a mixed DS/DE team, often as technical lead Act as client-facing interface or SPOC to customers Provide ML/DS consultancy to...

Creation of Python code, tests, creation and modification of GitHub Action CICD pipelines Working with AWS-based infrastructure and Docker containers Deploying, debugging, and running systems Delivering and scaling AI solutions by embedding into cross-functional teams Deploying assets on client...

Work in cross-functional agile teams alongside data scientists, machine learning engineers, product managers, and industry experts to innovate with clients and consulting teams Develop new or enhance existing assets Design and build robust, modular, scalable, and secure data pipelines for machine...

Design predictive models Conduct large-scale experiments Uncover insights that inform decision-making Define and develop ontologies and knowledge graphs to connect and contextualize enterprise data Establish data standards and maintain data quality Operationalize models and graph services at scale...

Build and maintain advanced VBA solutions, including Excel add-ins used by external clients. Develop and support Python-based automations for reporting, data processing, and email drafting. Design and manage Power Automate workflows; explore opportunities to leverage Copilot/AI agents. Utilize...

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,...

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,...

Design and build scalable data pipelines that support AI-enabled digital experiences, personalization, and marketing automation. Leverage AI-driven development and testing tools to increase engineering quality, speed, and reliability. Contribute to ongoing platform modernization efforts across...

Provides timely and effective technical support to internal customers to troubleshoot issues and minimize down time for the end user community Assist in maintenance, testing, and updates of the Company’s worldwide financial close and consolidation system (Oracle EPM Cloud FCCS) and planning &...

Deliver complex data engineering projects individually or by leading small delivery teams Work with EMEA and US customers to solve data engineering, ML, ML Ops, and cloud migration challenges Set up new data architectures from scratch Guide customers through adopting the latest technologies Manage...

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...

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...

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...