Description, tasks
- Build and optimize data pipelines and ETL processes using Databricks
- Collaborate with data scientists and analysts to design scalable data solutions
- Ensure data quality, consistency, and performance across multiple sources
- Work with cloud environments (Azure, AWS, or GCP) to deploy and manage data solutions
- Participate in requirement gathering sessions with clients to understand business needs and translate them into technical solutions
- Develop and maintain data models, documentation, and best practices for data management
- Troubleshoot data-related issues and provide support for production systems
- Contribute to proof-of-concepts and pilots for new technologies within the data landscape
- Collaborate with cross-functional teams in a consulting environment to deliver end-to-end data solutions
Requirements
- 2–3 years of experience in data engineering or related field.
- Bachelor’s degree in Computer Science, Engineering, or related field
- Hands-on experience with Databricks (PySpark, Delta Lake, SQL)
- Proficiency in Python and/or SQL for data manipulation
- Familiarity with cloud platforms (Azure, AWS, or GCP)
- Strong problem-solving skills and eagerness to learn new technologies
- Fluency in English and native-level Hungarian are required
Why work with us
- diverse clientele & exciting project portfolio
- competitive salary
- training opportunities
- remote work possibility
- professional support for our project managers and busines analysts
- reregular contact and team meetings
- continuous project opportunities
