Data Engineering Expert Budapest, Hungary
- Budapest
- Állandó
- Teljes munkaidő
- Young & supportive team - in a fast-growing international business environment
- Learn & develop yourself - help you craft your career path with (INNIO learning, free language courses according to business needs
- Hybrid working - 50% Office, 50 % Home Office with flexible working hours
- Cafeteria package with various options - SZÉP Card, Cash option, Nursery & kindergarten support
- Medicover Spring White Package- from the first day of employment
- Easily accessible location - in the heart of the most vibrant campus area in Budapest (location: 13rd District, easy to approach by Metro Line 3)
- Take a break - Recharge your batteries with free coffee and tea selection in the kitchen area
- Live an active lifestyle – activate your AYCM pass
- Design and implement scalable and robust data pipelines to support analytics and data processing needs
- Develop and maintain database architectures, including data lakes and data warehouses
- Ensure data quality and consistency through data cleaning, transformation, and validation processes
- Collaborate with Data Analysts, BI Developers and Requirements Engineers to gather requirements and deliver data solutions that support business objectives
- Optimize data retrieval, develop pipelines and physical data models for reports and various analytical project needs
- Implement data security and privacy policies to comply with legal and regulatory requirements
- Document the created pipelines
- Completed university studies with a focus on Business & administration, data science, computer science, information management, statistics, mathematics, or equivalent
- Fluency in English
- Professional experience in data analytics, business intelligence, financial or operational reporting
- Strong knowledge of and at least 6+ years of experience in pipeline creation with large data sets using SQL, NoSQL or Python
- Experience with cloud platforms (especially Azure, Databricks)
- Expertise in ETL tools (e.g., Apache Spark, Apache Flink)
- Understanding of data warehousing principles and technologies