Python developer állások VI. kerületben középiskolai végzettséggel

• 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

• 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

• 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

• 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

• CI/CD-folyamatok tervezése, felépítése és üzemeltetése (Azure DevOps, GitLab CI, GitHub Actions vagy Jenkins)
• Infrastruktúra kezelése kód formájában (Terraform, Bicep/ARM, Ansible)
• Konténeres környezetek felépítése és üzemeltetése (Docker, Kubernetes / AKS)

• Working in partnership with supervisors, lighters, and compositors to ensure that shots are delivered to the very highest standard
• Aligning and self-directing work with schedules and creative expectations while maintaining the highest level of integrity of work
• Working on a team

Embedding in the daily life of up to three engineering teams: Customer Platform (customer-facing applications, APIs, tenant management and provisioning) and Scoring (rules, scoring models and real-time decisioning)...

• Creating 3D rigs for different types of objects, animals and characters
• Working with the visual effects supervisor and Lead CG to determine the best possible technical and creative approaches
• Delivering work within established project targets and the high quality standards of the company

• A kutatás és fejlesztési projektek végigkövetése a tervezéstől az átadásig
• Beágyazott vezérlők programozása C nyelven
• Prototípus berendezések beüzemelése, tesztelése
• Gépész-, villamos- és mechatronikai mérnökökkel való együttműködés
• Dokumentáció írás angolul és magyarul
• Szoftver- és hardvertesztelés

• Developing and deploying AI-powered applications using modern software engineering practices
• Integrating Large Language Models (OpenAI, Azure OpenAI, Anthropic) into business solutions
• Building scalable backend services using Python or Node.js
• Developing intuitive user interfaces with React or Angular

• 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
• Configuring pipeline deployments and managing environment settings using IaC tools (Terraform) and CI/CD

• 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

• 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

• 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

• 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...