Data állások VIII. kerületben (it programozás, fejlesztés)

• A Sales Igazgatóságot és a Sales Research csapatot támogatod üzleti döntések előkészítésében rövid‑ és középtávú elemzésekkel, adatalapú döntés‑előkészítéssel
• Elemzed az üzleti teljesítményt, feltárod a mögöttes okokat, és konkrét javaslatokat dolgozol ki a további lépésekre

• Collaborate to the building, improvement and optimisation of the Customer Analytics process and related systems.
• Contribute to the development of the Customer Analytics Roadmap and translate it into actionable plans.

• Develop, update, and maintain HTML emails, responsive landing pages and microsites used in marketing campaigns.
• Collaborate with marketing automation specialists, designers, copywriters, campaign managers and field marketing managers to ensure digital assets meet brand and usability standards.

• Operate, maintain, and continuously improve cloud-based platforms supporting digital products and services.
• Contribute to platform operations activities, ensuring availability, performance, and reliability across development, test, and production environments.

Review and validate business demand, ensuring alignment with coherent end‑to‑end customer journeys and translating requirements into clear design documentation, including user stories, technical specifications, and architecture diagrams....

• Implement time-sensitive and business-critical projects in alignment with agreed scope, quality, timelines, and budgets.
• Oversee local project budgets up to EUR 2 million, including planning, forecasting, and financial oversight.

• Develop, enhance, and maintain financial clearing and settlement applications built primarily on Oracle database technologies
• Design and implement database‑centric solutions using Oracle SQL and PL/SQL
• Build and support applications using Oracle APEX, applying HTML, CSS, and JavaScript

• Deliver responsive, multiplatform UX solutions such as wireframes, user flows, and UI compositions with minimal support.
• Present design proposals clearly, facilitating productive peer reviews.
• Recommend improvements aligned with accessibility, localisation, and brand guidelines.

• Hatékony, üzleti célokra optimalizált promptok és agentek készítése (Google Gemini Enterprise és MS Copilot)
• Komplex üzleti kérdések strukturálása AI-használatra
• AI-outputok értelmezése, finomhangolása és validálása
• Meglévő promptminták testreszabása különböző üzleti területekre

• Lead Digital Factory‑level roadmap development, spotting risks, dependencies, and mitigation actions early
• Drive strategic, cross‑functional transformation initiatives within Digital Factory (and potentially beyond)

Review and validate business demand, ensuring alignment with coherent end‑to‑end customer journeys and translating requirements into clear design documentation, including user stories, technical specifications, and architecture diagrams....

• Lead enterprise and solution architecture across complex, multi-stakeholder environments, from greenfield platforms to legacy transformation
• Define and own API strategy, governance frameworks, and integration patterns at organisational level

• Implement time-sensitive and business-critical projects in alignment with agreed scope, quality, timelines, and budgets.
• Oversee local project budgets up to EUR 2 million, including planning, forecasting, and financial oversight.

• Develop, enhance, and maintain financial clearing and settlement applications built primarily on Oracle database technologies
• Design and implement database‑centric solutions using Oracle SQL and PL/SQL
• Build and support applications using Oracle APEX, applying HTML, CSS, and JavaScript

Act as the key link between business and delivery teams, ensuring alignment with enterprise standards (architecture, security, compliance) and providing clear visibility on progress, risks, and trade-offs to senior stakeholders....

Design and propose changes to current data systems including migration paths and modernization strategies for legacy architectures Define and evolve the target architecture for data platforms covering ingestion, storage, processing, and consumption layers Design and implement both batch and...

Building and optimizing inference pipelines for large-scale model serving Working with frameworks like PyTorch, TensorRT, and vLLM for efficient model deployment Implementing and optimizing ML models using quantization, kernel fusion, and efficient batching Optimizing and implementing core ML...

Ownership of data engineering features, architecture, and code quality Design, implementation, and maintenance of Databricks-based data pipelines and workflows Building and optimization of ETL/ELT processes using Apache Spark on Databricks Design and management of data lakes and Lakehouse...

Design and own end-to-end solution architecture across distributed systems and cloud environments Translate business requirements into scalable technical solutions with clear articulation of trade-offs Define and drive non-functional requirements including performance, scalability, security,...

Chunking and ingestion architecture with deterministic, validation-gated pipelines handling diverse enterprise document types with indexing and contextual enrichment Retrieval pipeline with vector search, BM25 hybrid retrieval, RRF re-ranking, embedding model selection and optimisation Agent...