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Data Engineer (Databricks & Treasury Data Lake), Remote (EU) – International Cli
Twtspain
Contract type
Ongoing
Work mode
Remote · EU
Experience
Senior · 5+ years
Job description
Data Engineer role focused on building and evolving a Treasury Data Lake platform on Databricks for an international client. The engineer designs, builds and optimizes data pipelines and ensures the quality and reliability of Treasury data assets.
At a glance
- Work mode
- Remote · EU
- Languages
- English – C1
- Pay
- EUR 300 / day
What you'll do
- 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
What we're looking for
- 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 (C1)
- Practical experience with Artificial Intelligence (AI) technologies, with AI tools, frameworks, or platforms specified in the CV
Nice to have
- 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