Data Processing állás innen: Magyarország

2026. 02. 02. | Teljes munkaidõ | Budapest | DHL Supply Chain Hungary LimitedWithin the group. Job Purpose Drive and administer HR Administration/Shared Services processes to deliver best-in-class HR services, products, and systems aligned with business needs, service quality standards, and budgets. Key Responsibilities - Work independently with increased responsibility for HR

2026. 02. 02. | Teljes munkaidõ | InteticsInto actionable recommendations. Responsibilities - Conduct in-depth research on markets, industries, and potential client segments. - Identify and qualify business leads and strategic partners using databases, public sources, and AI tools. - Build and maintain structured lead databases and research reports

2026. 02. 01. | Teljes munkaidõ | Budapest | SAPAnd presentation skills - Knowledge in the field of programming (e.g. Java, C+, ABAP) - Experience with SAP solutions, RDBMS databases and SAP HANA is considered a big plus Where you

2026. 02. 01. | Teljes munkaidõ | MOL MagyarországServices powerhouse. We’re building a smarter future - powered by data and AI, driven by insights, and designed for people. From our Salesforce-powered loyalty app (hi, MOL MOVE ) to our ever-evolving Data Lake, we’re not just keeping up with the future - we’re building it. About the Role As our Loyalty

2026. 02. 01. | Teljes munkaidõ | Budapest | MP Solutions Ltd.Pipelines that extract, transform, and load (ETL) data from various sources into a central repository and from here to the corresponding project. Your tasks - Design and implement scalable and robust data pipelines to support analytics and data processing needs - Develop and maintain database architectures

2026. 02. 01. | Teljes munkaidõ | Budapest | WisePlatforms, to drive data-driven decision-making. - Highly punctual, with a strong sense of initiative and a proactive approach to driving strategic objectives and

2026. 02. 01. | Teljes munkaidõ | Budapest | BYD EuropeCommercial-related work. Qualifications and Requirements - Master’s degree in Statistics, Economics, Marketing, or a related field. - minimum 5 years of work experience in total with 1-3 years of experience in pricing strategy, preferably in the automotive industry. Proficiency in data analysis tools (e.g

2026. 01. 31. | Teljes munkaidõ | EverbridgeKubernetes, Ansible, Terraform) Some experience with scripting or programming (Python, Bash, Go, or similar) Familiarity with databases, monitoring, or CI/CD concepts Strong communication skills and a willingness to learn from hands-on customer work Fluent English (additional languages are a plus