Data Engineer - Databricks & Treasury Data Lake

Job Summary

• 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.

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.