Data Engineer, Databricks, Treasury Data Lake

This is a fully remote position, open to applicants in Europe.

📋 Description

• Design, develop, and maintain scalable data ingestion pipelines from Treasury and enterprise source systems.

• Ensure the efficient, secure, and reliable transfer of data into the Treasury Data Lake.

• Implement and manage data transformations in accordance with the Medallion Architecture framework (Bronze, Silver, and Gold layers).

• Apply best practices for data cleansing, enrichment, and modeling.

• Create automated data quality checks, validation processes, monitoring mechanisms, and alerting solutions.

• Ensure data integrity, accuracy, and reliability throughout the entire data lifecycle.

• Support downstream users by guaranteeing the continuous availability and trustworthiness of datasets.

• Optimize data pipelines for performance, scalability, and cost-effectiveness within Databricks environments.

• Collaborate with stakeholders to comprehend data requirements and support Treasury analytics and reporting initiatives.

• Utilize AI-related knowledge and tools to enhance data engineering use cases and platform improvements.

⛳️ Requirements

• Certified Engineering degree (a Bachelor’s degree alone is not sufficient).

• A minimum of 5–7 years of experience in Data Engineering.

• Strong hands-on experience with Databricks.

• Experience in building and maintaining large-scale data ingestion pipelines.

• Familiarity with Data Lake concepts and architectures.

• Experience in implementing Bronze, Silver, and Gold (Medallion) Architecture.

• A strong understanding of data quality frameworks, validation processes, and monitoring solutions.

• Experience in optimizing data pipelines for performance, scalability, and cost efficiency.

• Professional proficiency in English.

• Practical experience with Artificial Intelligence (AI) technologies.

• Experience working in Treasury data environments.

• Experience supporting analytics, reporting, and business intelligence use cases.

• Knowledge of cloud-based data platforms and modern data engineering best practices.

• English (C1) proficiency is mandatory.

• Candidates are required to specify AI tools, frameworks, or platforms utilized in their CV.

🏝️ Benefits

• Flexible working hours.

• Access to cutting-edge technologies.

• Options for in-person, remote, or hybrid work arrangements.

• Opportunities to work in various locations around the globe.