Data Architect managing Commercial Data architecture initiatives for Valmet's sales and service team. Leading AI - driven data integrity and quality efforts in a global context.
About the role
- Data Engineer developing fraud detection systems for the banking environment, collaborating with Data Scientists and building infrastructure for Generative AI and ML models.
Responsibilities
- Plan and design advanced fraud detection systems for the banking environment
- Participate in generative AI research and development (R&D) initiatives in the fraud detection field
- Develop automated mechanisms for data cleansing, anomaly detection, and PII obfuscation (masking sensitive data) to ensure GDPR compliance
- Design and implement robust data ingestion systems to collect data from various sources (RDBMS, NoSQL, message Queues) in both batch and stream modes
- Design and implement secure, high-performance APIs to expose model predictions to our banking clients
- Collaborate with Data Scientists to transform experimental models into production-ready code
Requirements
- At least 2-3 years of experience in Python development
- Experience with Docker and container orchestration basics
- Experience with Cloud platforms (AWS, Azure, or GCP)
- Experience with using SQL and NoSQL databases
- Proficiency with Python web frameworks (Flask, Django, or FastAPI)
- Proficiency in Hungarian, as this is the language of our internal communication
- Intermediate level English, as we have international clients
Benefits
- Work on a MacBook or Lenovo and pick the gadgets that suit you best 👨💻
- Enjoy a hybrid setup with 1–2 days in our Budapest office (in the City Centre near Kálvin tér ) — or more flexibility if you’re not based in Budapest.
- In addition, you can use 10 “Work From Anywhere” days per year 🌍
- Stay healthy with Medicare White health insurance, AllYouCanMove, and a Life1 fitness pass 🏃♂️💪
- We value loyalty: +1 vacation day after 2 years, +2 after 5 years 🌴
- Enjoy free snacks and drinks in the kitchen (Túró Rudi, fresh fruit, coffee, tea, Coca-Cola, etc.) ☕️🍫🍇
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
No Education Requirement
Tech skills
Location requirements
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