Data engineer állások XII. kerületben egyetemi végzettséggel

• Quality assurance of business and professional materials, including content and format review
• Editing complex documents, analyses, and background materials into executive-ready formats: highlighting key points, structuring content, and developing a clear narrative

Join a client service team for 8-10 weeks, contributing to workstreams to help solve client challenges Uncover true challenges behind a client’s strategy and create actionable plans that drive real change Work alongside clients and McKinsey colleagues combining research, data analysis, interviews,...

Build and maintain knowledge assets around banking market sizing Serve clients by leveraging tools to bring insights around the banking landscape Maintain and create databases by undertaking fundamental research in central bank documents and commercial bank annual reports globally Incorporate...

Work within a small project team to analyze data, evaluate results, generate actionable insights and recommendations and deliver these to clients Liaise with clients to gather data, conduct research and perform quantitative analysis Work with the Finalta team covering banking clients Travel to...

• Monitoring and resolving complex financial balance issues
• Investigating discrepancies, identifying risks, and escalating when needed
• Managing cash collection and allocation activities
• Communicating regularly with external partners regarding payments, invoices, and documentation

• Analyze the performance of digital portfolios and track value creation
• Maintain contact with suppliers and optimize technological partnerships
• Support data-driven decision-making with financial and operational insights
• Develop new concepts to reduce costs and improve processes

- Gazdasági elemzések - Biztonságpolitikai elemzések - Információgyűjtés - OSINT - Nyelvi elemzések...

• Elegáns megoldások tervezése, fejlesztése, tesztelése Azure szolgáltatások (Synapse), Oracle DW/BI (PL/SQL) és Python, PySpark használatával,
• Databricks használata vállalati szintű adat-, analitika- és AI-megoldásokhoz,
• A fejlesztési folyamatok optimalizálásának vezetése és új szabványok kialakítása,

Lead end‑to‑end data and ML products across a global organization Build sophisticated commercial data products integrating with Salesforce, Snowflake, and AWS-native services Design and deploy advanced scoring engines for Leads and Opportunities Lead development of Marketing Mix Modeling (MMM) and...

Develop highly scalable services realizing AI/ML functionalities (e.g. NLP, ML and AI models) Implement various machine learning solutions addressing computer vision and NLP use cases Work with Large Language Models (LLMs), perform prompt engineering tasks Design and implement data transformation...

• vállalati adatvagyonban rejlő információk kiaknázása
• részvétel banki folyamatok agilis IT támogatásának kialakításában
• ad-hoc lekérdezések elkészítése
• komplex SQL lekérdezések optimalizálása
• felhő alapú technológiák használata

• Implementing business processes and enhancing existing ones based on business and technical requirements
• Thinking from both the user and business perspectives
• Running and maintaining scripted processes regularly

Translating business needs into scalable AI solutions Developing enterprise-grade AI solutions Working effectively in a collaborative, multi-disciplinary, and global team environment...