Data analytics senior állások Budapesten (it programozás, fejlesztés)

• 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

• 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.

Build Data Pipelines: Develop and implement robust data pipelines to efficiently process and manage large volumes of data across the organization....

SAP Business Technology Platform (BTP) szolgáltatások adminisztrációja, felügyelete és működtetése. Globális SAP BTP stratégia és governance kialakítása, beleértve multi-region deployment-eket és cross-cloud integrációkat....

• Develop and enhance cloud-native backend services using modern frameworks to support scalable scientific and AI workflows.
• Integrate three existing in-house products built on different technology stacks into a unified, cohesive platform that improves interoperability and data flow.

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

• 3-5+ overall working experience with at least 2+ years of relevant work experience 
• Experience in analytics, commercial performance, finance, or business analysis roles. 
• Exposure to retail, FMCG, aviation, or consumer-facing industries is an advantage.  

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...

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...

Define and evolve the long-term vision, strategy, and success metrics for shared services and integration capabilities within the Risk & Audit platform. Align platform investments with company strategy, architectural direction, and product portfolio needs. Own a roadmap focused on reusable...

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,...

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...

Take ownership of technical challenges, bringing curiosity and resourcefulness to ambiguous problems. Define and drive the development of complex features ensuring scalability, reliability, and security. Translate business requirements into clear technical plans, communicating risk/impact crisply....