Python developer állások, munkák

• Skálázható cloud-native adatarchitektúrák tervezése Databricks vagy MS Fabric platformokra
• Adatmodellek, sémák és tárolási minták kialakítása (lakehouse, Delta, Parquet)
• Batch és streaming adatok betöltési pipeline-jainak megtervezése
• ETL/ELT folyamatok és transzformációs stratégia meghatározása

Agent workflows with LangGraph / LangChain / PydanticAI / CrewAI (routing, retries, fallbacks, timeouts, human-in-the-loop)....

• Adatforrások integrálása a vállalat új Data Lakehouse platformján
• Adatbetöltési folyamatok fejlesztése a Data Lakehouse platformon
• Skálázható adatfeldolgozó folyamatok fejlesztése és optimalizálása
• Adattranszformációk fejlesztése és optimalizálása

• Building AI-powered automation for complex cloud engineering environments
• Combining platform engineering, software development and cloud expertise with modern Generative AI technologies to automate parts of the software development lifecycle

Customer models, end to end. Turn a planning problem, with its capacities, costs, lead times and shift plans, into a model whose answer a plant manager acts on. That includes the data it runs on: ERP and Excel exports, and catching the numbers that cannot be right before the customer does....

• Administer and configure Linux systems and virtual machines
• Set up and maintain services such as DNS, DHCP, NGINX, and Keycloak
• Develop small automation solutions and scripts using Python
• Support vulnerability management and technical security activities

• Work extensively with quantitative datasets: cleaning, processing, validating, and preparing data for analysis
• Conduct statistical analyses, investigate findings, identify patterns, and contribute to the interpretation of results

• Work closely with quantitative datasets: cleaning, processing, running frequencies, building analysis files and identifying patterns that matter
• Prepare chart output and visualisations for client-facing presentations, translating analytical findings into clear, structured stories

• Investigation of power system switching/lightning transients, insulation coordination, resonance (SSR, SSTI) and converter-driven stability
• Acquisition and execution of power system studies related to EMT

• End-to-end penetration testing engagements across web applications, APIs, cloud environments, kubernets, binary applications and internal/external infrastructure
• Simulation of real-world attacks to identify security risks before they become threats

• Analysis of requirements and decomposition into logical segments for test case design
• Creation and maintenance of functional test cases
• Maintenance of test cases according to changing requirements
• Creation and maintenance of Vector VT system wiring diagrams and automated test scripts

• Technical leadership post-sales for strategic customers in big data project design and implementation
• Identification and driving of new initiatives to turn data into actionable business value aligned with business goals

• Design and build AI-powered automation for software quality assurance, reducing manual testing effort over time
• Develop test and evaluation infrastructure for workflow, end-to-end, REST/gRPC API and contract testing, with CI/CD integration

Design, build, and maintain scalable data platforms and data & AI solutions tailored to business needs, including the development of governance structures and access control concepts...

• Analyze quality, usage, and diagnostic data from customer vehicles in the field
• Identify product issues, usage challenges, and opportunities to improve the customer experience
• Gain insights from various data sources, including vehicle diagnostics, customer complaints, and user behavior data

• Own IAM strategy across Entra ID and Active Directory.
• Manage conditional access, PIM/PAM, and identity lifecycle governance.
• Develop identity-centric detections and threat-hunting workflows, analyzing Entra ID logs and privilege escalation paths in alignment with the SOC.

• Analyze current project, volume, and aggregate planning processes.
• Identify and evaluate existing data sources, interfaces, and planning methodologies.
• Research state-of-the-art approaches in forecasting, data analytics, machine learning, and artificial intelligence.

• Coordination of operations together with Data Center, IaaS and PaaS layers
• Coordination and support of network lifecycle activities including installs, upgrades, changes, and firmware updates
• Management of network interconnections and related documentation

• Managing and migrating ETL pipelines between various source systems
• Validating pipeline build success and output data quality
• Communicating with business stakeholders and SME's regarding their respective data domain

• Planning and operating AI-agent and automated delivery pipeline infrastructure on OKD/OpenShift platform
• Integrating LLM-based tools into DevOps processes including automated code reviews, test executions, and runbook generation