Data engineer állások Budapesten nyelvtudás nélkül

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,...

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...

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,...

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...

Design, code, review and test assigned features and user stories, in accordance with the agile methodology employed by Diligent Collaborate with the product owner and engineering manager in the analysis and documentation of technical requirements and user stories for assigned features Assist with...

Design and implement security architecture for Azure Databricks platforms Enforce Role-Based Access Control (RBAC) across Azure and Databricks environments Integrate security into DevSecOps pipelines, ensuring automated security controls and policy enforcement Manage and secure Azure resources,...

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 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)...

Join a client service team and take ownership of a workstream to solve client challenges Deliver solutions that solve immediate problems and drive long-term change Uncover true challenges behind a client’s strategy and create actionable plans Work alongside clients and colleagues combining...

Adatrögzítés: termékek, megrendelések és ügyféladatok pontos rögzítése számítógépen Iratkezelés: dokumentumok rendszerezése, archiválása, előkészítése...

Adatrögzítés: adatok, dokumentumok, űrlapok pontos rögzítése számítógépen Iratkezelés: dokumentumok rendszerezése, archiválása, előkészítése Adminisztratív támogatás: egyszerű irodai feladatok, például nyomtatás, másolás, iratrendezés...

Készpénzfeltöltés: vendégek készpénzének kártyára történő feltöltése Pénzkezelés: készpénz pontos, szabályos kezelése Adatrögzítés: szükséges adatok ellenőrzése, rögzítése...

Lead and grow a cross-functional engineering team, combining developers and QA engineers into a high-performing unit with shared accountability for quality and delivery. Collaborate closely with Product Managers and Designers to shape features from ideation to delivery — focusing on usability,...

Design, develop, and maintain components of the deployment stack and software kernels for AI compute platforms Optimize and implement core ML operators (e.g., GEMMs, convolutions, BLAS routines, SIMD kernels) Translate computational graphs from ML frameworks onto the underlying hardware Contribute...

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....