Analytics állások XXIII. kerületben (it programozás, fejlesztés)

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....

Build and enhance web-based software solutions, implementing modern technologies and shaping the enterprise standards of the future together with the team...

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...

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,...

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...

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....

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

• Analyze data from multiple sources, identify trends, anomalies, and opportunities, and synthesize findings into concise, business-relevant conclusions and recommendations.
• Monitor and report costs and facilitate cost meetings

• building and maintaining strong relationships with enterprise clients, understanding their business challenges and identifying AI opportunities
• collaborating with product managers, data scientists and engineers to translate client needs into actionable AI solutions

• Drives development and implementation of squad’s analytics strategy and roadmap, incl. data source selection, data collection, transformation and standard reporting
• May extract, load or transform data from different sources either via scripting (e.g. SQL) or coding (e.g. Python)

• 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, 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

• learning state‑of‑the‑art new technologies
• acting as a team member in BI‑focused engagements

• Create, design and maintain reporting dashboards (Power BI)
• Manage, extract and consolidate data from multiple sources
• Capture and deliver reporting requirements from several business and finance collaborators
• Create standard and ad-hoc reports for management decisions

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...

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,...