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Data Engineer- Databricks & Treasury Data Lake
Компания: SET Europa
Город: Málaga
Our client is a recruitment consultancy specialising in IT, Finance, HR, and Digital Technology. Our client is seeking an experienced Data Engineer specializing in Databricks and Treasury Data Lake environments to join a fully remote project.
The successful candidate will be responsible for designing, developing, maintaining, and optimizing end-to-end data pipelines within a modern Lakehouse architecture, ensuring reliable, scalable, and high-performance data solutions. This role requires strong hands-on experience with Databricks, DBT, advanced SQL, and enterprise data integration, alongside a solid understanding of data governance, automation, and CI/CD practices.
**Responsibilities**
* Design, build, and maintain end-to-end data ingestion pipelines integrating multiple source systems.
* Develop and optimize data transformations across bronze, silver, and gold layers within a Databricks Lakehouse architecture.
* Implement automated data quality controls, monitoring frameworks, and alerting mechanisms to ensure data integrity and reliability.
* Design and maintain data models and transformation logic using DBT and advanced SQL.
* Leverage Databricks Lakehouse Federation and Lakeflow Connect to support efficient data integration and accessibility.
* Develop and maintain CI/CD pipelines using GitHub and Azure DevOps, ensuring controlled deployments, testing, and version management.
* Identify and resolve performance bottlenecks, improving scalability, maintainability, and efficiency.
* Collaborate with business and technical stakeholders to translate requirements into robust data engineering solutions.
* Support data governance standards, documentation, troubleshooting, and release management activities.
* Contribute to analytics and reporting capabilities by delivering reliable, high-quality data products.
Requirements:
* Proven professional experience as a Data Engineer in enterprise data environments.
* Strong hands-on expertise with Databricks and modern Data Lake/Lakehouse architecture.
* Practical experience developing data transformations using DBT (Data Build Tool).
* Advanced SQL skills, including query optimization and complex data transformations.
* Experience designing and managing data pipelines across bronze, silver, and gold layers.
* Knowledge of Databricks Lakehouse Federation and Lakeflow Connect.
* Experience implementing data quality frameworks, monitoring, and automated alerting.
* Familiarity with GitHub, Azure DevOps, and CI/CD processes.
* Understanding of data governance, data modeling, and enterprise integration practices.
* Knowledge of artificial intelligence-related concepts and their application within modern data ecosystems.
* Strong analytical, troubleshooting, documentation, and communication skills.
* Ability to work independently and collaborate effectively with distributed teams.