Data Engineer

Quick Facts

• Role: Data Engineer (hybrid) for a banking data transformation and data warehousing modernization project
• Focus: Migrating data warehousing to Databricks and modernizing pipelines and integrations

Description

Design and develop data warehouse and integration solutions, building and maintaining data pipelines using Teradata and Informatica. Support the migration activities to the Databricks platform, including data validation, testing, and quality assurance. Work with business stakeholders to define requirements and contribute to code reviews, documentation, and continuous improvement.

Responsibilities

• Design and develop data warehouse and integration solutions
• Build and maintain data pipelines in Teradata and Informatica
• Collaborate with business stakeholders to define requirements
• Support migration activities to Databricks
• Perform data validation, testing, and quality assurance
• Contribute to code reviews, documentation, and continuous improvement

Requirements

• At least 3 years of experience in Data Engineering, Data Warehousing, or BI
• Strong SQL skills and experience with complex data transformations
• Practical experience with Teradata and Informatica
• Strong knowledge of Databricks
• Ability to translate business requirements into technical solutions
• Familiarity with Git and Agile delivery
• Strong analytical and communication skills
• Professional proficiency in Czech/Slovak and intermediate English

Benefits

• Hybrid work model
• Opportunities for continuous improvement and collaboration within a cross-functional team

Nice-to-have

• Experience with data migrations
• Knowledge of Python or Spark
• Understanding of data modeling and governance practices