Staff Data Engineer overseeing complex data systems for CITY Furniture. Responsible for architecting and optimizing data ecosystems in a hybrid work environment.
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
Data Engineer strengthening data platform team at Samba TV to improve data analytics and reporting capabilities. Building on AWS, Databricks, BigQuery, and Snowflake technology.
Data Engineer focusing on secure ETL/ELT data pipelines and compliance in healthcare. Designing scalable ingestion frameworks and ensuring alignment with federal standards.
Data Migration Engineer at Capgemini delivering migration solutions for Guidewire Claim Center. Collaborating on cloud data migrations and validating processes in a sustainable tech environment.
Data Engineer responsible for collecting and analyzing data at Cruise Planners. Collaborate with teams for actionable insights using MySQL and Power BI.
Data Engineer for Leader Entertainment developing data solutions on Google Cloud Platform. Collaborating on data models, pipelines, and analytics in a hybrid role.
Senior Data Engineer designing and scaling data foundations for AI adoption across Ad Tech. Collaborating with cross - functional teams to deliver robust pipelines for high - profile AI applications.
Specialist in Data Engineering leading pipeline optimization at Inmetrics. Collaborating in innovative data - driven projects within a hybrid work environment.
Data Architect responsible for designing and implementing data architecture at Stefanini. Collaborate with technical teams and stakeholders in a hybrid work environment.
Senior Data Engineer at Reos responsible for scalable ETL pipelines using Microsoft Fabric. Focused on data integration from various sources and data modeling processes.