Sql állások, munkák it programozás, fejlesztés területen

• Development, testing, and maintenance of data pipelines for ETL from various sources
• Writing high-quality, maintainable Python code
• Participation in code reviews
• Participation in technical discussions for tool selection and architectural decisions

• Ensure the stable operation, maintenance and business continuity of our APPlus ERP system.
• Provide 1st and 2nd level application support, troubleshoot issues and coordinate problem resolution with external software vendors.

Design and develop backend data objects and data models that provide reliable, analytics-ready data for downstream BI dashboards and reporting solutions...

• Data gathering from various organizational sources
• Design and implementation of data integration processes
• Collaboration with business stakeholders for reporting requirements
• Extraction, transformation, and loading (ETL) of raw data

• Collaborate with business stakeholders to identify technical opportunities and gather user requirements for Polarion customizations, workflows, reports, dashboards, and integrations.
• Configure, customize, and maintain Polarion ALM solutions to support engineering, quality, and compliance processes.

Automatizálás és digitalizáció manuális hibakeresési, KPI-ellenőrzési és vizsgálati folyamatok kiváltásával okos, automatizált megoldásokkal és scriptekkel...

• Komplex szakmai kihívást jelentő üzleti és informatikai tanácsadási projektek tervezése
• Komplex szakmai kihívást jelentő üzleti és informatikai tanácsadási projektek megvalósítása
• Projektek szakmai irányítása
• Projektmenedzsment feladatok ellátása üzleti elemzés fókusz mellett

• Design, develop, and maintain backend services and APIs that support scalable cloud and on-prem systems
• Take part in architectural discussions, prototyping, and evaluating technical feasibility
• Optimize, test, and continuously improve system performance and reliability

• Design and develop complex EUC solutions across all banking divisions
• Architect and model scalable applications / databases to support high-volume data processing
• Lead full project lifecycles, from requirements gathering to deployment and documentation

• Define and further develop the Snowflake platform roadmap in alignment with enterprise data strategy and business priorities
• Establish the platform vision and manage priorities, demand intake and business requirements to maximize business value and support strategic objectives

• Whether in the cloud or an on-premises data center, you expertly navigate the world of Big Data, helping our clients make their data business- or operations-ready.
• You access diverse data sources efficiently and reproducibly.
• You design, test, and monitor distributed data processing pipelines.

• Design and implement pipelines to ingest, clean, and transform data into Data Lakes and Data Warehouses
• Active monitoring and optimization of pipelines for performance and cost
• Configuration of pipeline deployments and management of environment settings using IaC tools and CI/CD

• Analysis and understanding of business, functional and technical requirements
• Coordination of testing activities within a Scrum Software Development Team
• Definition, maintenance and continuous improvement of the technical and conceptual testing framework

• Lead the design and implementation of scalable data pipelines and Lakehouse architectures
• Act as the design authority
• Solve the hardest technical challenges including optimizing high-load streaming pipelines, debugging complex Spark jobs, and designing generic frameworks

• Design and develop normalized and denormalized data models to support reporting and data integration needs
• Apply dimensional modelling techniques to create efficient, scalable, and business-oriented data models
• Develop and maintain data transformations and models using SQL and dbt

Build AI agents and automations: Identify repetitive processes across the company, then design, build and deploy LLM-powered agents and workflows (e.g. Claude API, tool use / MCP) that take them over, from prototype to production....

• Supporting business and marketing decisions with data-driven solutions
• Developing predictive models such as churn scoring to drive retention offers and product propensity scoring
• Translating business needs into actionable ML and AI solutions across marketing, customer care, and network operations

• Ownership of architecture and delivery of production-grade LLM systems and classical ML solutions
• Design, evaluation, and optimization of RAG pipelines including retrieval strategy, chunking, indexing, and monitoring

• Own the end-to-end forecasting and price-elasticity models at the core of our pricing engine — from feature and model research through evaluation, deployment, and continuous monitoring
• Scale the forecasting architecture to meet growing demand for granular, product-level forecasts

• Own the end-to-end forecasting and price-elasticity models at the core of our pricing engine — from feature and model research through evaluation, deployment, and continuous monitoring
• Scale the forecasting architecture to meet growing demand for granular, product-level forecasts