Online marketing állások Budapesten (programozó, fejlesztő)

• A vállalat saját fejlesztésű ERP rendszerével integrált, nemzetközi piacra szánt webshop fejlesztése
• Felhasználói felület tervezése
• Adatbázis struktúra kialakítása
• Működő rendszereink támogatása, továbbfejlesztése
• Együttműködés a társosztályokkal, projektvezetőkkel
• Hibakezelésben való részvétel

• Digitális és szoftverfejlesztési projektek teljes körű menedzselése
• Ügyféligények felmérése, specifikációk előkészítése
• Projekttervek, ütemezések és mérföldkövek kialakítása
• Fejlesztői, design és marketing csapatok munkájának koordinálása
• Határidők, erőforrások és költségek nyomon követése

The main task of the candidate would be to write unit tests for already completed components, for which it would be useful to use AI assistance. What would be your responsibilities? •Develop HMI components for automotive cockpit systems •Implement unit tests and other improvements for components...

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 AI/ML solutions Build end-to-end ML/AI pipelines: data ingestion, preprocessing, feature engineering, model training, evaluation, deployment and monitoring Develop AI-powered applications and services using Python and modern ML frameworks (e.g., PyTorch, TensorFlow, scikit-learn)...

Design, develop, and maintain scalable backend services using Node.js, JavaScript, and TypeScript. Build secure and performant RESTful APIs and microservices architecture. Contribute to system architecture discussions and lead technical decision-making. Apply Test-Driven Development (TDD) and...

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,...

Architect, build and maintain backend services and APIs using Python and web frameworks such as Flask or Django (or comparable) Design and implement RESTful APIs / microservices, ensuring clean, maintainable, and efficient code, adhering to best practices (coding standards, documentation, testing)...

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 and implement cloud-native data pipelines using GCP services such as BigQuery, Dataflow, Dataproc, Pub/Sub, Cloud Composer, and Cloud Storage Develop and optimize data ingestion, transformation, and orchestration workflows for analytics, BI, machine learning, and large-scale processing use...

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...

Lead or participate in scoping the engagement, designing high-level architecture, defining subtasks, and project delivery schedules Deliver projects independently or within a mixed DS/DE team setup, often as technical lead Act as client-facing interface or SPOC to customers Provide ML/DS...

Learn the existing system architecture, codebase, tools, and development practices Validate existing technical documentation and flag any gaps or outdated content Proactively highlight blockers to knowledge transfer (e.g., missing info, unclear logic, inaccessible systems) Maintain coding...