Data állás, munka

• Design, development, and continuous improvement of the Data Warehouse environment 
• Development and optimization of ETL processes
• Administration and operation of complex SQL cluster environments 
• Re-engineering and modernization of existing SQL cluster architectures

• 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

Csapatunkba Full Stack fejlesztőt keresünk, aki majd részt vesz komplex szoftverek és rendszerek építésében, amelyekre jelentős nemzetközi ügyfeleink (pl. Rolls-Royce, Stanford Egyetem, nagy európai energiacégek) támaszkodnak. Feature-ök fejlesztése elejétől a végéig, az adatbázistól a felhasználói...

Solution Design: Architect finance-related solutions aligned with business and technical requirements across platforms such as SAP S/4HANA, Kyriba, Accelya, Skymetrix, Navitaire, and Dynamics AX....

• Daily operation of data backup and data protection systems supporting corporate IT applications
• Configuration, monitoring, and maintenance of backup infrastructure in an enterprise environment, including:
• Deduplication backup target systems (e.g. Data Domain)
• Media servers

• Ensuring the completion of development tasks to support the new release of projects/solutions.
• Supporting production requests or fixing issues
• Unit testing applications and reporting daily progress

• Learn devops principles
• Design and implement CI/CD pipelines
• Work with Ansible, Docker and Kubernetes and various PaaS solutions
• Study large scale, cloud native software architectures
• Gain experience working in agile DevOps methodology
• Gain experience working at a fast-growing, truly colourful company

Work in cross-functional agile teams alongside data scientists, machine learning engineers, product managers, and industry experts to innovate with clients and consulting teams Develop new or enhance existing assets Design and build robust, modular, scalable, and secure data pipelines for machine...

Designing predictive models Conducting large-scale experiments Uncovering insights that inform decision-making Defining and developing ontologies and knowledge graphs Establishing data standards and maintaining data quality Operationalizing models and graph services at scale Delivering and scaling...

Creation of Python code, tests, creation and modification of GitHub Action CICD pipelines Working with AWS-based infrastructure and Docker containers Deploying, debugging, and running systems Delivering and scaling AI solutions embedded in cross-functional teams Deploying assets on client service...

Deliver complex data engineering projects individually or by leading small delivery teams Work with customers to solve data engineering, ML, ML Ops, and cloud migration challenges Set up new data architectures from scratch Guide customers through adopting the latest technologies Manage customer...

Implement and maintain large‑scale data pipelines and the Azure/Databricks data platform in close collaboration with the Architect, contributing to design discussions and proposals. Build robust, scalable pipelines using Azure Databricks (PySpark / SQL), integrating data ingestion, processing,...

Implement and maintain large‑scale data pipelines and the Azure/Databricks data platform in close collaboration with the Architect, contributing to design discussions and proposals. Build robust, scalable pipelines using Azure Databricks (PySpark / SQL), integrating data ingestion, processing,...

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, optimize, and maintain backend services using Java (Spring Boot) Work on football-related data pipelines that power FIFA, Serie-A and UEFA operations Deploy and scale applications in AWS (ECS, Lambda, S3, DynamoDB, etc.) Work on event-driven architectures, leveraging message queues...

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 Collaboratively working to provide technical solutions and implement new software features...

Developing and maintaining data pipelines in Azure Databricks Writing transformation logic using Python and SQL Supporting data migrations and platform improvements Working within a structured, company-level Databricks framework Collaborating in a Scrum-based setup (2-week sprints, Jira, daily...

Partner with Product Owners, project managers, and stakeholders to translate business needs into well-designed CRM capabilities. Build and enhance Salesforce solutions using Apex, Lightning Web Components (LWC), and Flow-first automation. Design and implement scalable Salesforce applications across...

Develop and customize Microsoft Dynamics 365 applications using C#/.NET and Power Platform tools Build integrations between Dynamics 365 and Azure services (Logic Apps, Functions) as part of a modern cloud architecture Support the migration from Salesforce to Dynamics 365 — helping to unify global...

Take ownership of technical challenges, bringing curiosity and resourcefulness to ambiguous problems. Define and drive the development of complex features ensuring scalability, reliability, and security. Strong product partnership: translating business requirements into clear technical plans,...