Devops állások, munkák adatbázisszakértő kategóriában

• B2C szakmai és technológiai projektek beazonosítása, üzleti igények felmérése
• Vezetői előterjesztések, döntés-előkészítő anyagok, ROI- és hatástanulmányok készítése
• Projektek megtervezése, előkészítési folyamatok koordinálása, ütemezés, erőforrás- és költségtervezés

• 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;

Assessment/blueprinting of enhancements and projects providing ensuring solutions meet or exceed business value propositions and meet architectural policies....

• Design and scale analytics-ready data models using dbt in Microsoft Fabric
• Transform raw enterprise data into trusted, business-ready datasets
• Build and own Power BI semantic models and DAX logic (this is a hard requirement)
• Ensure data quality, testing, documentation, and governance end-to-end

• 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

• Design, develop, and maintain full stack applications within the Workshop Suite, focused on vehicle adjustments and digital consistency checks
• Ensure seamless integration between vehicle-side diagnostic tools and cloud-based services

• Design and implementation of scalable data architectures
• Building and maintaining Data Lakes and Data Warehouses
• Designing/developing and optimizing data pipelines and data models for production, logistics, and supply chain data
• Ensuring data quality and integrity across multiple systems

Collaborate with system architects to contribute to the design of a secure and scalable service platform architecture, considering factors such as data integrity, confidentiality, and regulatory compliance....

Designing and implementing robust software solutions for optimization and quantum algorithms, integrating them into enterprise-grade systems....

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...

Database EngineerAbout Mettler ToledoMETTLER TOLEDO is a global leader in precision instruments and services. We are renowned for innovation and quality across laboratory, process analytics, industrial, product inspection, and retailing applications. Our sales and service network is one of the most...

(Senior) Manager –AI Data Architect (m/w/d) Zürich/Basel/GenevaOne of the fastest growing business consultancy firms in Switzerland is looking for talented candidates like you.Is business consultancy your kind of work? Do you strive to achieve excellence in a customer centric environment? Then our...

Design, implement, and manage Azure cloud infrastructure to support Databricks and data platform workloads Build and maintain Azure resources including Resource Groups, VNets, Key Vaults, Storage Accounts, and Azure Active Directory (AAD) integrations Implement Infrastructure as Code (IaC) using...

• Support with the operation of the Azure-based platform (including Docker on Linux/Windows VMs) with team guidance
• Assist in building and documenting data pipelines (Azure Data Factory, Databricks catalogs)
• Help create and maintain Databricks notebooks (Python) for specialized use cases

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,...

INNOVATION IS IMAGINING WHAT NO ONE ELSE CAN. Artificial Intelligence and machine learning are at the cutting edge when it comes to shaping next-gen mobility in areas like automated driving. But it takes real intellectual leadership and expertise to identify and then harness the AI trends and...