Data Engineer - Databricks & Treasury Data Lake

• Help design, build and continuously improve the clients online platform.
  
  
  


• Research, suggest and implement new technology solutions following best practices/standards.
  
  
  


• Take responsibility for the resiliency and availability of different products.
  
  
  


• Be a productive member of the team.
  
  

Requirements

• Data Engineer with strong expertise in Databricks and Treasury Data Lake to design and develop scalable data pipelines, transform data across multi-layer architectures, and ensure high-quality, reliable datasets for downstream consumers.
  
  


• Design, build, and maintain scalable ingestion pipelines from multiple Treasury and enterprise source systems, ensuring secure and efficient data movement into the data lake.
  
  


• Transform and process data across Bronze, Silver, and Gold layers, applying best practices for data modeling, cleansing, and enrichment.
  
  


• Implement automated data quality checks, validation, monitoring, and alerting to ensure data accuracy, integrity, and reliability.
  
  


• Ensure the continuous availability and trustworthiness of datasets supporting downstream analytics, reporting, and Treasury operations.
  
  


• Continuously optimize pipeline performance, scalability, and cost efficiency across Databricks and cloud-native components.
  
  


• Hands-on knowledge and practical experience with AI technologies is mandatory. 

Benefits

• A challenging, innovating environment.
  
  
  


• Opportunities for learning where needed.