Databricks Data Lake Engineer - Treasury Focus (Remote EU)

Thewhiteam; España; Remote; EUR 48,000 - 63,000; Full time

Job summary

Thewhiteam is seeking a Data Engineer with strong Databricks expertise to design, build, and optimize a Treasury Data Lake platform. You will develop scalable ingestion pipelines, implement the Medallion architecture, and ensure data quality and reliability across the data lifecycle.

Ideal candidates have 5–7 years of data engineering experience, a Certified Engineer degree, hands-on AI tooling exposure, and excellent written and verbal English (C1).

Qualifications

• Certified Engineer degree required; Bachelor's alone not sufficient.
• 5–7 years in Data Engineering.
• Strong Databricks experience.
• Experience with AI technologies and tools.
• Experience with Treasury data environments.
• Knowledge of cloud data platforms and modern best practices.

Responsibilities

• Design, develop, and maintain scalable data ingestion pipelines.
• Ensure secure and reliable data movement into Treasury Data Lake.
• Implement Bronze, Silver, and Gold data layers (Medallion Architecture).
• Apply data cleansing, enrichment, and modeling best practices.
• Develop data quality checks, validation processes, monitoring and alerts.
• Guarantee data integrity across the data lifecycle.
• Support analytics, reporting and BI use cases.
• Collaborate with stakeholders to define data requirements.
• Apply AI-related knowledge to platform improvements.

Skills

Databricks

Data Lake

Medallion Architecture

Data Pipelines

AI Technologies

Data Quality

Cloud Platforms

English Proficiency

Education

Certified Engineer degree

Tools

Databricks Tools

BI/Reporting Tools

Job description

Thewhiteam is seeking a Data Engineer with strong Databricks expertise to design, build, and optimize a Treasury Data Lake platform. You will develop scalable ingestion pipelines, implement the Medallion architecture, and ensure data quality and reliability across the data lifecycle.

Ideal candidates have 5–7 years of data engineering experience, a Certified Engineer degree, hands-on AI tooling exposure, and excellent written and verbal English (C1).