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

Thewhiteam; Málaga; Remote; EUR 48,000 - 70,000; Full time

Job summary

Thewhiteam is seeking an experienced Data Engineer with strong Databricks expertise to build and evolve a Treasury Data Lake. You will design scalable data pipelines, implement medallion architecture, and ensure data quality across critical assets.

Experience with AI tools and Treasury environments is highly valued. The role is remote within the EU, requiring English at C1 level, and 5–7 years of data engineering experience.

Qualifications

• 5–7 years of professional data engineering experience.
• Certified Engineer required (not just a Bachelor’s).
• Strong Databricks expertise.
• Hands-on AI technologies experience and mention tools/frameworks used.

Responsibilities

• Design, develop, and maintain scalable data ingestion pipelines from Treasury and enterprise sources.
• Ensure secure, reliable movement of data into the Treasury Data Lake.
• Implement Bronze, Silver, and Gold (Medallion) Architecture data transformations.
• Apply data cleansing, enrichment, and modeling best practices.
• Develop automated data quality checks, validation, monitoring and alerts.
• Guarantee data integrity across the data lifecycle and support analytics.

Education

Certified Engineer

Tools

Databricks

AI 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).

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.