Data állások, munkák it programozás, fejlesztés területen

• Design, develop, and maintain backend services and RESTful / GraphQL APIs using Node.js
• Build scalable and high-performance applications following best coding practices
• Integrate data storage solutions such as MongoDB, PostgreSQL, MySQL, or similar databases

• Delivery on complex data engineering projects across industries
• Leading small delivery teams
• Managing customer relationships alone or with a Project Manager
• Mentoring more junior engineers
• Evaluating the quality of junior engineers' work
• Contributing to hiring best-in-class data engineers

• Design and propose changes to current data systems including migration paths and modernization strategies for legacy architectures
• Define and evolve the target architecture for data platforms covering ingestion, storage, processing, and consumption layers

• Search, collect, consolidate, and validate financial and non-financial data across departments and systems
• Design, build, maintain, and automate dashboards and underlying data pipelines to provide timely, accurate insights to stakeholders

• End-to-end management of contracts, subcontracts, and related legal agreements
• Initiation, negotiation, execution, acceptance, and ongoing administration of contracts
• Oversight of contract negotiations and approvals
• Maintenance of contract templates and standard agreements

• Ownership of data engineering features, architecture, and code quality
• Design, implementation, and maintenance of Databricks-based data pipelines and workflows
• Building and optimization of ETL/ELT processes using Apache Spark on Databricks

• Building skills in product management through a tailored learning program
• Executing on real problems in product management
• Working on own projects/products during the 12 week tailored programme
• Spending time on dedicated sessions to learn about product management
• Working on domain team projects

• Design, build and deploy LLM-powered pipelines and autonomous agents
• Scope and deliver AI solutions with stakeholders
• Set best practices around MLOps and production-grade AI
• Mentor developers and contribute to internal knowledge-sharing

• Writing production-quality, well-tested scraper code in Python
• Learning the architecture of the collection platform including scrapers, proxy layer, queues and enrichment API
• Debugging issues across multiple components using logging, monitoring and alerting tools

• Proficient use of modern frameworks
• Utilizing the most cutting-edge development environments: Docker, Kubernetes
• Developing high-availability, prestigious enterprise frontend applications, such as the portals of OTP Bank and Magyar Telekom

• Build-from-zero applications powered by the HawkAI Engine
• Bridge machine learning models and real-time data pipelines into APIs and user interfaces
• Integrate AI-assisted development tools into software architecture and data integrity workflows

• Configure and develop ServiceNow capabilities
• Build and support integrations between ServiceNow and Flexera for asset/license-related data ingestion.
• Build and support integrations between ServiceNow and NetBox for infrastructure and network/OT asset data ingestion.

• Design and implement algorithms to process and analyze sensor data from sources like LiDAR, images, and satellite imagery
• Create algorithms to transform sensor data into actionable insights, such as reconstructing 3D models, segmenting spatial data, or detecting environmental features

• Design, develop, review, and test features and user stories following Agile development practices
• Contribution to core platform development and integration projects across multiple systems
• Shaping the future architecture of the product including designing scalable backend services and prototypes

• Building new products and features using latest technologies
• Contributing to a state-of-the-art native iOS platform supporting core brands
• Software development in a self-leading Agile team
• Responsibility for DevOps pipeline to production monitoring and support

• Turning data science and AI experiments into production-ready, scalable solutions
• Developing and deploying Generative AI solutions including LLMs and Diffusion Models
• Designing and implementing data models and flows including ETL, embedding models and vector databases

• Setting up and maintaining databases for payment systems
• Maintaining, monitoring and supporting production and development of databases and environments
• Monitoring and troubleshooting database integrity, performance, blocking and deadlock, replication/log shipping, connectivity, and security issues

Process Design & Optimization: Design and continuously improve end-to-end Requisition-to-Receipt (R2R) processes, implementing best practices, automation opportunities, and intelligent workflows including guided buying, supplier punchouts, and catalog-driven purchasing for Direct and Indirect...

• Learn and use groundbreaking technologies.
• Engineers will apply advanced troubleshooting techniques to provide unique solutions for our customers and lead customer interactions by thoughtfully working with them to dive deep into the issue and get the root cause.

• Partnering closely with Country Controllers and relevant business stakeholders to develop solid working relationships
• Participating actively in the transition of activities from local controllers or external providers into the COE