Sql állások Budapesten (it programozás, fejlesztés)

• Writing and maintaining clean, high-quality, efficient and well tested code aligning with project specifications
• Architecting and implementing key abstractions bridging software engineering and DevOps
• Proactively identifying pain points in the platform and proposing elegant solutions

• Dashboard development with Power BI to visualize sustainability data and metrics
• Data integration from internal databases, external APIs, and third-party platforms
• Client reporting collaboration with sustainability team for customized visual analytics

• Design and code clean, maintainable and high-performance custom-build solutions based on Java technologies and related frameworks
• Follow defined methodology and standards to create software of high quality
• Conduct code reviews and provide constructive feedback to team members

• Development, governance, deployment, and ongoing enhancement of liquidity analytics models and supporting infrastructure across asset classes
• Driving the analytics product lifecycle, including prioritizing initiatives, influencing roadmap decisions, and ensuring successful deployment into production

• Development of the Tulip OS
• Maintenance and support of bootloader, kernel, and userspace development for Tulip hardware
• Working alongside product management and customers to identify key features and product performance
• Contributing to strategic planning

Web alapú vállalatirányítási rendszer fejlesztése...

• Writing and maintaining clean, high-quality, and efficient code aligned with project specifications using AI tools daily to accelerate delivery
• Executing comprehensive testing and seamless deployment of programs and systems
• Communicating technical information clearly and effectively with team members

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

• Operating a mobile communication platform for corporate IOT devices
• Analysing API related issues
• Providing 3rd level application support
• Executing SQL fixes through CI/CD pipelines
• Problem management of assigned tickets
• Organizing virtual meetings with other departments and SW vendors

• Setup, operation, maintenance, and reliability of databases used for IT service operations and ITSM processes
• Operation of databases supporting service management, monitoring, reporting, and operational tooling

• Design, develop, and implement complex, scalable Lakehouse solutions on the Databricks platform across major cloud environments (Azure, AWS, or GCP)
• Design, build, and optimize modular data pipelines using Delta Lake to ensure data efficiency, reliability, and quality

• Technical leadership and mentoring of data engineers
• Technical oversight for Databricks solutions
• Design and implementation of scalable ETL/ELT pipelines using Databricks, Python/PySpark, SQL, and Delta Lake

• Elemzés globális szolgáltatási minőségi adatokon
• Nem megfelelőségi költségek, CAPA, ügyfél-elégedettség, NPS és audit eredmények elemzése
• Minták, ok-okozati csoportok, ismétlődő problémák és kockázatok azonosítása
• Elemzések átalakítása világos következtetésekké és ajánlásokká

• Ügyféligények megértése és egyeztetése
• Részletes funkcionális specifikáció készítése
• Fejlesztési folyamat támogatása
• Tesztesetek és tesztelési forgatókönyvek készítése
• Közreműködés a tesztelések végrehajtásában
• Folyamatos kapcsolattartás az üzleti területekkel
• Élesítés támogatása és koordinálása

• Lead the design of AI-assisted SDLC patterns for repository intake, code exploration, build diagnosis, and engineering evidence generation
• Manage and prioritize the product backlog balancing maintenance and modernization efforts

• Design and implement modern data architectures and lakehouse solutions
• Provide technical leadership throughout the project lifecycle
• Collaborate with business stakeholders
• Create effort estimations
• Provide technical expertise during the pre-sales phase
• Mentor 3-6 person project teams

• Shaping transformations in S/4HANA projects from planning to execution
• Designing and developing SAP-based software solutions, architectures, and transformation scenarios
• Executing SAP data migrations with guidance and support to colleagues

• Managing and migrating ETL pipelines between various source systems
• Validating pipeline build success and output data quality
• Communicating with business stakeholders and SME's regarding their respective data domain
• Analysing and resolving blockers and issues with ETL pipelines and data discrepancies

• Architecture and delivery of production-grade LLM systems and classical ML solutions
• Design, evaluation, and optimization of RAG pipelines
• Building scalable, production-grade LLM services and agentic workflows alongside traditional ML systems

• Design and implementation of enterprise-scale data pipelines and advanced analytics dashboards
• Development and optimization of data ingestion, transformation, and modeling workflows across structured data environments and cloud-based platforms