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• Az ügyféligények megismerése és technikai információkkal történő ellátása
• Az Ozeki szoftvertermékeinek és megoldásainak kidolgozásában való részvétel
• A fejlesztés dokumentálása
• Az ügyféligényeknek megfelelő megoldás kidolgozása
• Részvétel a cég fejlesztési projektjeiben

• Odoo-modulok fejlesztése és testreszabása Python 3, XML és HTML használatával
• Backend-szolgáltatások fejlesztése Java/Spring és Hibernate segítségével
• Külső rendszerek összekapcsolása REST- és XML-RPC-API-k segítségével
• Eseményalapú integráció az Apache Kafka segítségével

• Design and build an automation test framework integrated into CI/CD pipelines and the SDLC
• Implement automated tests across API, integration, and end-to-end layers
• Write high-quality, maintainable test code with focus on reusability, stability, and execution speed

• Design, development, and optimization of core ML models in Computer Vision and Deep Learning
• Development of efficient, scalable training and inference pipelines
• Mentoring junior ML engineers, code review and sharing best practices

• Develop embedded software for medical devices, ranging from low-level drivers to higher-level functionalities and embedded UI
• Take technical ownership of features and contribute to architecture, design, implementation, and testing

Software Engineer Java Backend Platforms Security At Swissquote, we're all in. All in to shake things up. All in to build the bank people actually want to use. All in to make finance less boring — and a lot more powerful. We're Switzerland's leading digital bank — 1,400+ people across Europe, the...

• Monitor emerging AI developments across all domains and advise IT, leadership and internal stakeholders on opportunities arising from technological advancements in AI
• Identify and evaluate AI use cases together with administrative, scientific service and research units

• Learning existing system architecture, codebase, tools, and development practices
• Validating existing technical documentation and flagging any gaps or outdated content
• Highlighting blockers to knowledge transfer such as missing info, unclear logic, inaccessible systems

• Operation and support of Global Directory (LDAP) services across multiple environments
• Manual data maintenance and user management
• Manual interventions such as copying users between environments and maintaining directory data consistency

• Leading project delivery across multiple tracking and automated officiating initiatives to tight deadlines
• Coordinating work cross-functionally across multiple engineering squads, product teams, and operational units
• Managing delivery roadmaps, timelines, milestones, and project planning activities

• Oracle adatbázis alapú rendszerek karbantartása, fejlesztése, tesztelése
• Tárolt eljárások és komplex SQL lekérdezések tervezése és implementálása
• Adatmodellek kialakítása és karbantartása
• Fejlesztési dokumentáció készítése
• Szoros együttműködés üzleti és IT szakértőkkel

Senior Data Engineer Love what you do – we make employment happen! Turn data into impact! JobCloud connects hundreds of thousands of job seekers with employers every day and behind every product decision is data. As our next Senior Data Engineer, you'll own the warehouse stack that makes that...

Ownership of Data Assets & strategy: Own pre-training, evaluation, and meta-data including proprietary, open-source, and synthetic datasets. Develop and execute vision....

• Részvétel új projektek vagy funkcionalitások megtervezésében és időköltségének felmérésében
• Új funkcionalitások megtervezése és megvalósítása új vagy meglévő webes alkalmazásokhoz

• Design of Azure cloud infrastructure to support Databricks and data platform workloads
• Implementation and management of Azure cloud infrastructure
• Building and maintaining Azure resources including Resource Groups, VNets, Key Vaults, Storage Accounts, and Azure Active Directory integrations

• Implementation and maintenance of large-scale data pipelines and the Azure/Databricks data platform
• Building robust, scalable pipelines using Azure Databricks (PySpark / SQL)
• Integration of data ingestion, processing, transformation, and storage

• 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

• Implementation, configuration, and optimization of SAP eWM solutions in S/4HANA
• Driving global rollout activities including fit-to-standard workshops, template localization, testing, and deployment
• Collaboration with MM, SD, TM, and PP teams on end-to-end logistics flows

• Complex programming, testing and debugging functions related to the implementation of SAP modules
• Understanding requirements from provided functional designs and transforming them into technical designs
• Keeping contact with clients, functional teams, and designers

• Design and evolve end-to-end architecture across data ingestion, processing, storage, and delivery
• Define scalable data pipelines and batch or near real-time workflows
• Establish efficient data models, storage strategies, and access patterns