Mérnök munkatárs állás, munka

• Learn data engineering principles
• Learn to design and implement ETL processes and pipelines
• Work with SQL, Python and different programming languages and notebooks
• Learn Power BI report building, Data Bricks and various ETL tools

• Learn devops principles
• Design and implement CI/CD pipelines
• Work with Ansible, Docker and Kubernetes and various PaaS solutions
• Study large scale, cloud native software architectures
• Gain experience working in agile DevOps methodology
• Gain experience working at a fast-growing, truly colourful company

• Learn Generative AI principles and models
• Learn Large Language Models, Natural language processing
• Work with Different generative AI Tools and uses
• Learn the LLMs, NLP fundamentals, Transformers, and attention mechanism
• Build Custom dataset for LLM, Build your own custom chatbot/AI bot/custom GPT

• Design, build, and maintain robust data pipelines that are scalable, efficient, and meet business needs
• Collaborate with cross-functional teams to understand and translate business requirements into data solutions

• Banki alkalmazások tesztelése, főleg backend oldalon
• Számlázással kapcsolatos rendszerek automatizált tesztjeinek megírása, futtatása, kiértékelése
• Folyamatos fejlődés érdekében ötleteid megvalósítása kollégáiddal szorosan együttműködve

• Ensuring development tasks to support new release of the project/solutions.
• Groom user stories with PO
• Estimate uses stories and their tasks
• Support production issues or requests
• Experience in all phases of software development lifecycle of DevOps

• Handling HelpDesk tickets related to errors, incidents, and inquiries concerning system integrations.   • Analysing and diagnosing technical issues reported by end-users.   • Collaborating with development teams, business analysts, and external vendors to promptly resolve problems.   • Providing...

• Design, development, and continuous improvement of the Data Warehouse environment 
• Development and optimization of ETL processes
• Administration and operation of complex SQL cluster environments 
• Re-engineering and modernization of existing SQL cluster architectures

• a cég által fejlesztett prémium videotechnikai berendezések vezérlőszoftverének automatizált tesztelése;
• komplex videóátviteli rendszerek automatizált tesztelése;
• különböző típusú (funkcionális vagy nem funkcionális) tesztelések támogatása automatizált teszteléssel;

• Daily operation of data backup and data protection systems supporting corporate IT applications
• Configuration, monitoring, and maintenance of backup infrastructure in an enterprise environment, including:
• Deduplication backup target systems (e.g. Data Domain)
• Media servers

* Gyártásfelügyeleti megoldások létrehozásának érdekében a MES alkalmazások fejlesztésében vehetsz részt Tulip platformon * MES funkciók fejlesztésében és bővítésében is kipróbálhatod magad a gyártosorokon beleértve a hardverintegrációt, folyamatoptimalizálást és automatizálást * Az ERP és PLM...

Banki környezetben dolgozol, ahol változatos infrastruktúra-projekteken veszel részt – a feladatok folyamatosan megújulnak, így sokféle technológiával és kihívással találkozhatsz. A csapat jellemzően 2-6 fős, tapasztalt infrastruktúra szakemberekkel dolgozol együtt. Mindig van aktív projekt, amin...

Build impactful products using React and TypeScript in an agile environment Collaborate and grow through code reviews, knowledge sharing, and contributing to testing practices Work internationally with clients and colleagues in a global, multicultural environment...

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,...

Deliver complex data engineering projects individually or by leading small delivery teams Work with customers to solve data engineering, ML, ML Ops, and cloud migration challenges Set up new data architectures from scratch Guide customers through adopting the latest technologies Manage customer...

Design, code, review, and test assigned features and user stories in alignment with Diligent’s agile development methodology, leveraging AI tools where appropriate to enhance development efficiency. Produce high-level technical design artifacts for major stories, incorporating insights and...

Supporting the development of a stable and scalable Kotlin and Spring Boot back-end from the ground up Collaborate closely with our Customer Support (L1) and Infrastructure Support (L2) teams to efficiently manage escalations- helping identify, troubleshoot, and resolve operational issues that keep...

Design, develop, deploy, monitor, scale, and troubleshoot ML and LLM-based systems that power services across our platform. Build automated AI testing and evaluation frameworks. Collaborate with Applied Scientists and Software Engineers to implement and productize AI-based capabilities. Shape 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,...

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...