Python állások, munkák I. kerületben

• Support the development of GenAI applications using Python and frameworks such as LangChain or LangGraph.
• Help build and test RAG pipelines for document search, summarization, and question answering.

Adatfolyamok (pipelines) tervezése és fejlesztése: Robusztus, skálázható és biztonságos batch (kötegelt) és real-time (valós idejű) ETL/ELT folyamatok fejlesztése...

• Active partnership with sales and project managers to estimate, design, develop and deliver solutions
• Continuous communication with domain experts and product owners to understand core business needs and goals to synthesize requirement and quality standards

• Provisioning and managing Azure/AWS resources as part of real client engagements
• Building IaC and CI/CD pipelines to automate deployments
• Ensuring reliability through monitoring, runbooks, and incident handling
• Applying security patterns across projects

• Designing and implementing pipelines to ingest, clean, and transform data into Data Lakes and Data Warehouses
• Actively monitoring and optimizing pipelines for performance and cost, differentiating between a working query and an efficient one

• Leading the design and implementation of scalable data pipelines and Lakehouse architectures as the Design Authority
• Solving the hardest technical challenges—optimizing high-load streaming pipelines, debugging complex Spark jobs, and designing generic frameworks

Providing technical leadership post-sales to guide strategic customers in designing and implementing big data projects, from architectural design to data engineering and model deployment...

• Delivering independently Data Science projects with an end-to-end product-oriented mindset
• Engaging directly with clients to understand their business objectives and translate them into technical requirements

• Pentest folyamatok részleges automatizálása
• Sérülékenységvizsgálati eredmények AI-alapú feldolgozása
• Saját tudásbázis és RAG-rendszer kialakítása
• Pentest jelentések automatikus generálása
• Eredmények strukturálása, validálása és priorizálása
• On-premise LLM-alapú rendszer fejlesztése

• Designing, developing, and maintaining data ingestion and processing pipelines across different data platforms
• Developing and optimizing batch and streaming data pipelines using Python, SQL, and distributed processing technologies

• Calculating the capital requirement based on group standards and ensuring compliance with specifics of local legislation and portfolios
• Playing a major role in calculation and reporting of SCR/ECR (regulatory and internal capital requirement)

• Designing, building, and operating enterprise-grade Agentic AI platforms
• Owning architecture and delivery while mentoring engineers and partnering closely with client and internal teams
• Helping organizations run secure AI environments at scale under strict regulatory and security requirements

• Implementing end-to-end analytics and dynamic visualizations in Tableau, ThoughtSpot, SAP Analytics Cloud, or equivalent enterprise BI platforms
• Preparing, transforming, and modeling data using SQL, Python, or dbt - leveraging enterprise cloud environments like Snowflake and Microsoft Azure

• Supporting the migration of ETL pipelines between source systems and Snowflake
• Using SQL to validate data, check data quality, reconcile datasets, and identify discrepancies
• Monitoring pipeline executions, investigating issues, and helping resolve technical blockers

Working directly with clients, product owners, architects, and development teams to understand business and technical requirements and translate them into infrastructure and cloud architecture requirements...

• Leading a Snowflake migration project, supporting the migration of ETL pipelines between source systems and Snowflake
• Assigning tasks, tracking progress, and ensuring smooth day-to-day delivery

Planning, implementation, development and testing of HW/SW components for the company backbone and data center networks (Layer 2&3 networks interconnects company datacenters & cloud instances inside company as well as external partner/client networks)...

• Design and implement cloud security controls across AWS, Azure, and/or GCP
• Deploy and tune Cloud Security Posture Management (CSPM) and Cloud-Native Application Protection Platform (CNAPP) tooling
• Build security into Infrastructure-as-Code and CI/CD pipelines

• Implementing, configuring, and maintaining cloud-based infrastructure (IaaS/PaaS)
• Supporting migration of on-prem applications to the cloud
• Troubleshooting and supporting Linux and some Windows systems in virtualized cloud environments

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