Join our dynamic team in the banking sector where you will design build and maintain the data infrastructure that powers our advanced financial services.
- Design and implement robust data pipelines to collect process and store large datasets.
- Develop and maintain scalable data architectures and databases.
- Collaborate with data analysts and data scientists to understand data needs and deliver optimized solutions.
- Ensure the reliability efficiency and security of the data infrastructure.
- Monitor and troubleshoot data workflows to ensure smooth operations.
- Implement data governance and best practices for data management.
- Stay updated with emerging technologies and industry best practices to continuously improve data engineering processes.
Requirements
- Minimum of 3 years of experience in data engineering preferably in the banking or financial services industry.
- Proficiency in programming languages such as Python Java or Scala.
- Experience with big data technologies (e.g. Hadoop Spark Kafka).
- Strong knowledge of SQL and experience with relational and nonrelational databases.
- Familiarity with cloud platforms (e.g. AWS Azure Google Cloud) and containerization tools (e.g. Docker Kubernetes).
- Excellent problemsolving skills and attention to detail.
- Effective communication skills and ability to work in a collaborative team environment.
- Fluent in Hungarian and intermediate proficiency in English.
Benefits
- Work 3 days in the office and 2 days from home.
- Opportunity to be part of a central team in the banking sector.
- Engage in cuttingedge projects.
- Supportive and dynamic work environment.
Munkaer k lcs nz i nyilv ntart sba v teli sz m: VA/FMMFKIO/0002085/2024
Munkaer k zvet t si nyilv ntart si sz m: VA/FMMKKIO/0054732/2022