Tools engineer állások, munkák X. kerületben

• Design and develop modern, high-quality user interfaces for web, desktop, and mobile applications.
• Create wireframes, prototypes, and interaction models, then translate them into production-ready front-end code.
• Help build and evolve scalable design systems to ensure consistency across products.

• Learn data engineering principles
• Learn to design and implement ETL processes and pipelines
• Work with SQL, Python and different programming languages and notebooks
• Learn Power BI report building, Data Bricks and various ETL tools

• Learn Generative AI principles and models
• Learn Large Language Models, Natural language processing
• Work with Different generative AI Tools and uses
• Learn the LLMs, NLP fundamentals, Transformers, and attention mechanism
• Build Custom dataset for LLM, Build your own custom chatbot/AI bot/custom GPT

• ​Design and Build: Develop robust Power BI dashboards and data models (using DAX and Power Query) to replace legacy manual reporting.
• ​Automate Workflows: Eliminate repetitive manual tasks and excel-based processes using the Power Platform (Power Automate, Power Apps), VBA, or Python.

• Technical oversight, validation, and optimization of injection-molding processes and tools
• Evaluation of suppliers’ technologies and development of improvement proposals for implementation
• Technical support for new partners and coordination of their production readiness

• Manage the onboarding of applications into Dynamic Application Security Testing (DAST) tools, ensuring thorough scanning and identifying vulnerabilities early in the SDLC
• Good understanding of SCA, SAST tools like SonarQube, DependencyTrack or similar

• Handling HelpDesk tickets related to errors, incidents, and inquiries concerning system integrations.   • Analysing and diagnosing technical issues reported by end-users.   • Collaborating with development teams, business analysts, and external vendors to promptly resolve problems.   • Providing...

• Container Platform Management: Designing, building, and supporting Kubernetes-based platforms (including microservice architectures).
• CI/CD & Release Management: Planning and implementing end-to-end CI/CD processes and release cycles using GitLab and other modern tools.

• Own and manage fuel card-related processes across 3 regions and 9–12 MOL countries, ensuring standardization and alignment with group-level operational standards.
• Drive strategic alignment of fuel card processes with MOL Group’s business objectives and digital transformation goals.

• Building a software infrastructure with carrying out new initiatives and providing support to the related systems, applications and other solutions.
• Continuously improve Data management

• Help design smart, scalable cloud applications using Azure-native and custom components
• Build, operate, and monitor cloud solutions end‑to‑end
• Automate everything you can – scripts, processes, workflows

• Ensuring development tasks to support new release of the project/solutions.
• Groom user stories with PO
• Estimate uses stories and their tasks
• Support production issues or requests
• Experience in all phases of software development lifecycle of DevOps

Manage, maintain, and optimize SAP server landscapes based on Linux (Red Hat / SUSE), ensuring high availability, performance, and system reliability across productive environments....

• Design, build, and maintain robust data pipelines that are scalable, efficient, and meet business needs
• Collaborate with cross-functional teams to understand and translate business requirements into data solutions

• Take ownership of system‑level testing of Siemens SIMATIC S7 PLC engineering systems, including unreleased products
• Plan, execute, and evaluate manual and automated tests for complex industrial automation scenarios
• Independently design and optimize hardware and system test configurations

Design, implement, and manage Azure cloud infrastructure to support Databricks and data platform workloads Build and maintain Azure resources including Resource Groups, VNets, Key Vaults, Storage Accounts, and Azure Active Directory (AAD) integrations Implement Infrastructure as Code (IaC) using...

Develop highly scalable services realizing AI/ML functionalities (e.g. NLP, ML and AI models) Implement various machine learning solutions addressing computer vision and NLP use cases Work with Large Language Models (LLMs), perform prompt engineering tasks Design and implement data transformation...

Design, develop, and maintain cloud infrastructure solutions for SaaS/PaaS products using Infrastructure as Code (IaC) principles Implement and optimize CI/CD pipelines to enable efficient software delivery Create and maintain APIs and automation scripts to streamline infrastructure management...

Analyse and optimise the performance per watt of next generation solutions using innovative technologies, methodologies and tools Simulation, emulation, modelling and collaboration with cross-functional teams in design, verification, architecture, SW, and pre and post silicon test Build and...

Design, implement and enhance data solutions for customer organizations Implementation of data integrations (e.g. load data from operative systems like ERP or CRM) Development of data platform / data warehouse in cloud platforms (e.g. data transformation and aggregation) Implementing...