Python programmer állások II. kerületben (it programozás, fejlesztés)

• Leading and growing a cross-functional engineering team combining developers and QA engineers
• Collaborating closely with Product Managers and Designers to shape features from ideation to delivery focusing on usability, performance, and customer value

• Design and implement Data Pipelines in Snowflake
• Develop ingestion pipelines from various sources via Snowpipe and other means
• Create data transformations with SQL, Python, PaaS and 3rd party tools such as dbt
• Optimize existing pipelines and transformations for cost, load time, and maintainability

Development and enhancement of quantitative financial models Application of advanced technologies to real world financial problems Keeping up to date with the latest technological trends ...

• Setting technical direction across teams
• Leading design of secure, scalable MCP hosts and AWS microservices
• Influencing AI adoption through AI first solution design, model guidance, prompt strategy, and built-in governance and monitoring

• Test and validate data recording and sensor calibration tools in testbench and real prototype vehicle environments
• Collaboration with various development teams to deliver technical solutions

• Chunking and ingestion architecture with deterministic, validation-gated pipelines handling diverse enterprise document types with indexing and contextual enrichment
• Retrieval pipeline with vector search, BM25 hybrid retrieval, RRF re-ranking, embedding model selection and optimisation

• AI-alapú rendszerek és alkalmazások architektúrájának tervezése és fejlesztése
• Microservice és event-driven architektúrák tervezése és technikai irányvonal meghatározása
• Architekturális döntések meghozatala, beleértve a megfelelő technológiai és tervezési megoldások kiválasztását

• Magas szintű technikai és üzleti tanácsadás ügyfelek számára az Atlassian termékekkel és saját fejlesztésű megoldásokkal kapcsolatban
• Ügyfelek üzleti és IT folyamatainak felmérése
• Komplex megoldások tervezése, bevezetése és minőségbiztosítása

• 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

• Building and maintaining simulation environments for mobile robotic perception and navigation
• Developing and integrating robotic behaviours and learning pipelines for reinforcement learning and motion planning in complex outdoor environments

• ETL Framework Development
• Pipeline Optimization
• Modern Engineering Practices Application
• Infrastructure & Automation Management

• Dashboard development with Power BI
• Data integration from various sources
• Client reporting collaboration
• Data analysis for sustainability initiatives
• Quality assurance of dashboard data
• User training on Power BI dashboards
• Continuous improvement of dashboard functionality

• Ownership of quality and test strategy for critical backend services, APIs, and data flows across the platform
• Design, implementation, and maintenance of automated test suites in Python covering API, integration, and service-level testing

Research, development, implementation, and testing of artificial intelligence algorithms to improve the quality and robustness of the static world model in automated vehicles...

Working directly with customers and project teams providing technical expertise on Veeva’s applications, Vault Platform, APIs, and Java SDK Developing custom code and configuring Veeva software Contributing to solution design under guidance of experienced technical and migration architects...

• Architecture design, software engineering, integration, and deployment of large-scale market data initiatives
• Software engineering of secure, high performance, scalable and maintainable applications using appropriate architectural patterns and modern innovative technologies

• Support Daily Data Production Workflows Across Multiple Asset Classes
• Perform Quality Assurance Checks On Incoming Vendor Data And Internally Generated Analytics
• Assist With Investigating Data Quality Issues
• Help Maintain And Improve Production Monitoring Tools, Dashboards, And Sign-Off Processes

• Design and implement data pipelines processing large datasets from multiple sources
• Develop, maintain, and optimize ETL processes using tools such as Keboola, custom Python, and SQL-based transformations
• Work with marketing and advertising data sources (e.g. Google Ads, Meta/Facebook, ad servers)

• Design, reliability, and operational excellence ownership of cloud and hybrid infrastructure
• Definition, tracking, and improvement of service reliability using SLO/SLI frameworks
• Driving availability, latency, and scalability targets across platforms

• Creation and preparation of 3D assets, environments, and scene layouts for Omniverse and OpenUSD workflows
• Assembly of digital-twin scenes for industrial, facility, product, or enterprise visualization use cases