Sql developer állások, munkák Dunakesziben

• Vue 3 and TypeScript development across OBR monorepo for web and B2B/white-label platforms
• Feature ownership end-to-end from requirements to implementation, testing, and release
• Component architecture, design tokens and theming, performance optimization, and embeddable web-component constraints

• Design, delivery and evolution of secure, scalable Ruby on Rails applications and services
• Setting technical direction for major projects and platform initiatives from solution design through implementation and production ownership

• Design, build, and maintain scalable ELT/ETL pipelines on AWS
• Develop and optimize data models and transformations in Amazon Redshift
• Implement and maintain CDC (Change Data Capture) ingestion pipelines
• Build orchestration workflows using AWS Step Functions

• Design, develop, and maintain backend services and RESTful / GraphQL APIs using Node.js
• Build scalable and high-performance applications following best coding practices
• Integrate data storage solutions such as MongoDB, PostgreSQL, MySQL, or similar databases

• Manual and automated testing across iOS and Android platforms
• Collaboration with developers, designers, product owners, and fellow QA engineers
• Definition and refinement of test strategies for new functionality and release cycles

• Participation in design, POCs and development of complex tasks
• Ensuring high-quality delivery by developers
• Collaboration with architects to communicate, align and implement architecture direction
• Alignment with other tech leads to ensure technical consistency

• Munkaállomás-üzemeltetés: notebookok, desktopok és irodai eszközök összekészítése, telepítése, cseréje, hibaelhárítása
• Felhasználótámogatás: bejelentések kezelése személyesen a magyar irodában, távolról a külföldi telephelyeken

• Design, build, and deploy production-grade agentic AI and automation solutions that collect, validate, and quality-assure data at scale
• Engineer multi-agent orchestrations, data pipelines, MCP integrations, and API connections that power autonomous, end-to-end data workflows

• Maintaining and evolving data structures
• Building new ETL flows and maintaining or improving existing ones
• Designing new data structures and data modelling concepts
• Ensuring data quality by verifying data consistency and accuracy
• Creating data validation methods

• Maintaining and evolving data structures
• Building new ETL flows and maintaining or improving existing ones
• Designing new data structures and data modelling concepts
• Ensuring data quality by verifying data consistency and accuracy
• Creating data validation methods

• Windows Server alapú infrastruktúrák üzemeltetése és fejlesztése
• Active Directory, Group Policy, DNS és DHCP környezetek kezelése
• Microsoft alapú szerver infrastruktúra napi szintű üzemeltetése és hibaelhárítása
• Virtualizációs környezetek üzemeltetése

• Több forrásrendszeren átívelő töltési folyamatok tervezése, dependenciák megállapítása
• Üzleti adattárház architektúra tervek kialakítása
• Az adattárházban az adat életút teljeskörű logikai kontrolálása
• Az adatbázis, adatfolyam fejlesztésekhez tartozó üzleti igény és koncepcióterv elkészítése

• Accounting for intercompany transactions
• Accounting for special business events
• Monthly, quarterly, and annual financial close activities
• Reconciliation and investigation of billing and cost allocation queries
• Support of regional Treasury Center for inter-affiliate financing transactions

• Folyamatosan értékeled és optimalizálod a tesztautomatizálási megoldásainkat (lefedettség, stabilitás, karbantarthatóság, futási idők)
• Az automata tesztelő csapattal együttműködve alakítod a közös munkamódszereket és a szakmai fejlődési irányokat

Data Quality Monitoring: Regularly assess and monitor data quality across various databases and data sources to identify and rectify inconsistencies or errors....

• Microsoft SQL Server operation including maintenance, migrations, administration, configuration
• Support for developers, testers and DevOps engineers about best practices in database operation

• Tackling complex technical challenges focused on scalability, reliability, and speed
• Maintaining a high-performance infrastructure that processes millions of events with low latency
• Collaborating with Data Scientists and Engineers to design and implement cutting-edge feature topologies

• Design and build scalable, reusable frameworks and services for data ingestion, transformation, and processing
• Develop and maintain the platform’s core capabilities such as orchestration, data quality validation, and schema management tools

• Configuration of the P&P platform end to end across frontend and backend
• Tuning and optimization of forecast and attribution models to match client data and business logic
• Writing custom business logic in SQL, Python, or Go for non-standard configuration

• Preparation of business concept and business strategy
• Review, analysis and evaluation of business systems, user requirements and processes
• Definition of business goals and KPIs
• Cooperation with developer and testing team
• Participation in User Acceptance Testing