Python állások, munkák I. kerületben

• Designing and implementing data fabric architecture across heterogeneous data sources and platforms
• Developing scalable ETL/ELT pipelines for batch and real-time data integration
• Integrating structured and unstructured data from databases, APIs, SaaS applications, data lakes, and enterprise systems

• Assisting in integrating data from various sources (e.g. APIs, databases, files) into centralized data platforms
• Ensuring the quality and availability of data across data pipelines and storage systems
• Supporting the implementation of data models and data warehouse solutions

• Working closely with customers to analyze business needs and translate them into technical requirements
• Participating in pre-sales discussions, helping shape tailored technical solutions
• Collaborating with Sales and Customer Success teams to ensure smooth project execution and client satisfaction

Driving modeling and experimentation for SEON's fuzzy matching and AML screening quality, turning ambiguous problems into well-defined approaches and carrying them from experiment through release and operation...

• Designing and building artificial intelligence and machine learning solutions for enterprise clients
• Operationalizing artificial intelligence and machine learning solutions, combining custom models with cloud and third-party AI services to deliver production-ready outcomes

Writing production-quality, well-tested scraper code in Python that needs little rework after review, including comprehensive unit and integration tests written with minimal guidance...

• Contributing to System IP microarchitecture specification and design
• Contributing in SystemVerilog, C and C++ to verification, modelling and debug to achieve required quality levels (SystemVerilog/UVM, C, C++, scripting)

• Owning and evolving Tulip’s Cypress + TypeScript E2E automation framework, driving expanded coverage across critical product surfaces
• Integrating automated test suites into CI/CD pipelines to deliver fast, reliable feedback loops for engineering teams

• Designing and building learner models, including knowledge tracing and longitudinal approaches, that power mastery and progression features surfaced to learners and educators
• Shaping the data foundation for learner modeling by defining which signals matter and building the datasets models depend on

• Translating business requirements from internal teams and clients into clearly defined KPIs, metrics and visualizations
• Building and maintaining semantic and analytical data models on top of the data warehouse
• Writing and optimizing SQL queries, views and calculated measures for reporting use cases

• Owning the data models and storage architecture behind AI systems, across relational, graph, and retrieval-oriented data
• Building and operating the APIs, backend services, and pipelines that keep data current and accessible

• Contributing to the test strategy and developing test plans for future Arm products
• Defining and improving the test architecture for automated testing and validation
• Developing test cases for embedded linux systems from first power on to end-to-end use cases

Designing, developing, and maintaining interactive Power BI dashboards and reports to support spend analysis, supplier performance, contract lifecycle management, and procurement KPIs...

• Establishing data feeds with custodian banks, data vendors, and other service providers
• Supporting senior leadership, clients, and the broader Data Team in executing analyses and providing data-driven answers to questions
• Fully automating and centralizing existing data integration processes

Leading the design, development, and deployment of scalable, resilient, and high-performance components for the Wise Assistant, including core Java microservice consuming Kafka messages and contributing to Typescript and Python codebases...

• CI/CD pipeline-ok kialakítása, fejlesztése és karbantartása
• Deployment és release folyamatok automatizálása
• Cloud infrastruktúrák üzemeltetése és optimalizálása
• Konténerizált környezetek kezelése (Docker, Kubernetes/OpenShift)
• Monitoring, logging és alerting rendszerek kialakítása és üzemeltetése

Acting as the strategic bridge between business stakeholders and technical developers, ensuring clear communication, alignment of expectations, and the facilitation of requirement review sessions...

• Building, operating, and improving production data pipelines using Python, Airflow, Kubernetes, and related technologies
• Designing scalable data pipelines and data models for growing data volumes and processing needs

• Üzleti igények összegyűjtése és elemzése, közvetítésük az IT csapat felé
• IT rendszerek és szoftverek elemzése, fejlesztési igények meghatározása
• Funkcionális és technikai specifikációk készítése, amelyeket az IT csapat és a fejlesztők használnak a megoldások tervezése során

• Leading and developing the three-person QC function, including workload planning, prioritization and performance management
• Defining daily and weekly QC priorities based on project deadlines, production capacity and quality risk