Junior python developer állások IX. kerületben (it programozás, fejlesztés)

• Writing reusable, testable, and efficient code, mainly in Python
• Delivering great user experience by the development of great user interfaces
• Handling security and data protection professionally and precisely

• Deliver reporting that matters – handle internal requests for reports, dashboards, and data extracts, change requests, and data exploration needs.
• Build with Power BI – design and maintain dashboards using data lake sources (SQL, Databricks).

Owning the deployment, health, and continuous improvement of Tulip's multi-cloud, multi-region SaaS environments across the US, Europe, and Asia...

Lead identification of high-impact use cases for ML/AI/GenAI, prioritizing those that drive business performance, uncover optimization opportunities, and fuel revenue and margin growth....

• Collaborating with a global network of technologists, designers, and strategists to help clients transform their businesses through innovative digital solutions
• Developing cutting-edge products
• Mentoring client teams

• Working on complex and extremely varied data sets from some of the world’s largest organizations to solve real-world problems
• Developing high-quality data science products and solutions for clients as well as assets for internal data teams, focusing on modeling

L3 support, incidents and problems, RCA, deployments/upgrades/patching, monitoring, automation, ITIL change management, security and data governance....

• Support improvements to reliability, availability, performance and scalability of the bp pulse EV charging network, technology stack and services
• Support incident response, root-cause analysis and continuous improvement activities to enhance system resilience

• Improve the reliability, availability, performance and scalability of the bp pulse EV charging network, technology stack and services
• Support incident response, root-cause analysis and continuous improvement activities to enhance system resilience

• Joining experienced engineering teams and contributing to existing projects while exploring and prototyping ideas for the future
• Gaining hands-on experience across the software development lifecycle with support from a mentor and the wider team

• 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

• Delivering software releases on schedule with defined scope and quality and transitioning to continuous delivery
• Ensuring reliable operation of the CI/CD pipelines and improving their efficiency
• Contributing to the test strategy and coordinating its execution

• 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

• Configuring the P&P platform end to end, across both frontend and backend
• Tuning and optimizing forecast and attribution models to match client data and business logic
• Writing custom business logic in SQL, Python, or Go where standard configuration isn’t enough

• Technically managing a team of 2-3 AI and cloud engineers focused on fast prototyping of AI/ML solutions in AWS cloud
• Providing mentoring and technical support to junior and medium teammates
• Acting as a trusted advisor to clients

Developing a thorough understanding of the Sage Workplace Management operating model, contractual requirements and reporting objectives to ensure all Business Intelligence activities support successful contract delivery...

• Developing, testing, and maintaining data pipelines to extract, transform, and load (ETL) data from various sources (APIs, Databases, Files)
• Writing high-quality, maintainable Python code and participating in code reviews

• 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

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

• 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