Data Engineer (Databricks & Treasury Data Lake), Remote (EU) – International Client

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

Job role: Data Engineer (Databricks & Treasury Data Lake).

Minimum experience: 5 to 7 years.

Studies required: Engineer (not Bachelors, but Certified Engineer).

Language: English (C1) (Mandatory).

Location: Remote (EU).

DESCRIPTION

We are looking for an experienced Data Engineer with strong expertise in Databricks to support the development and evolution of a Treasury Data Lake platform. The successful candidate will be responsible for designing, building, and optimizing data pipelines, transforming data across a multi-layer architecture, and ensuring the availability, quality, and reliability of critical Treasury data assets.

The ideal candidate is a Certified Engineer with 5 to 7 years of professional experience in data engineering and hands-on experience working with Databricks environments. In addition, candidates must demonstrate practical experience with Artificial Intelligence (AI) technologies and clearly specify in their CV the AI tools, frameworks, or platforms they have used.

Tasks

• Design, develop, and maintain scalable data ingestion pipelines from Treasury and enterprise source systems.
• Ensure efficient, secure, and reliable movement of data into the Treasury Data Lake.
• Implement and manage data transformations following the Medallion Architecture approach (Bronze, Silver, and Gold layers).
• Apply data cleansing, enrichment, and modeling best practices to improve data usability and consistency.
• Develop automated data quality checks, validation processes, monitoring mechanisms, and alerting solutions.
• Guarantee data integrity, accuracy, and reliability across the entire data lifecycle.
• Support downstream consumers by ensuring continuous availability and trustworthiness of datasets.
• Optimize data pipelines for performance, scalability, and cost efficiency within Databricks environments.
• Collaborate with stakeholders to understand data requirements and support Treasury analytics and reporting initiatives.
• Apply AI-related knowledge and tools where relevant to data engineering use cases and platform improvements.

Specific Expertise

• Certified Engineer degree (Bachelor’s degree alone is not sufficient).
• Minimum 5-7 years of experience in Data Engineering.
• Strong hands-on experience with Databricks.
• Experience building and maintaining large-scale data ingestion pipelines.
• Knowledge of Data Lake concepts and architectures.
• Experience implementing Bronze, Silver, and Gold (Medallion) Architecture.
• Strong understanding of data quality frameworks, validation processes, and monitoring solutions.
• Experience optimizing data pipelines for performance, scalability, and cost efficiency.
• Professional level of English.
• Practical experience with Artificial Intelligence (AI) technologies.
• Experience working with Treasury data environments.
• Experience supporting analytics, reporting, and business intelligence use cases.
• Knowledge of cloud-based data platforms and modern data engineering best practices.

Language

• English (C1).

Location

• Remote (EU).

Rate

• 300€/day.