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

Data Engineer - Databricks & Treasury Data lake, Remote (EU) – International Client Build scalable Databricks pipelines across Bronze, Silver and Gold layers for a treasury data lake. Work remotely across the EU on secure, high-quality cloud data solutions. SEND REQUEST Data Engineer - Databricks & Treasury Data lake, Remote (EU) – International Client Job role: Data Engineer - Databricks & Treasury Data lake. Minimum experience: 5-7 years. Studies required: Engineer. Language: English (C1) (Mandatory). Location: Remote (EU). DESCRIPTION: We are looking for a Data Engineer with strong expertise in Databricks and modern data platforms to support the design, development, and maintenance of scalable data solutions within a cloud-based analytics environment. The role focuses on building and optimizing data ingestion pipelines from multiple source systems, transforming data across Bronze, Silver, and Gold layers, and ensuring data reliability, integrity, and availability for downstream consumers. The successful candidate will contribute to efficient, secure, and scalable data operations while collaborating with cross-functional teams to deliver high-quality data products. Tasks: · Design, develop, and maintain scalable data ingestion pipelines from multiple source systems. · Transform and manage data through Bronze, Silver, and Gold data layers. · Implement automated data quality validation processes. · Develop monitoring and alerting mechanisms to ensure data accuracy, reliability, integrity, and availability. · Optimize data pipelines to improve performance and scalability. · Apply data engineering best practices across data platform development and operations. · Troubleshoot, investigate, and resolve data processing issues. · Collaborate with cross-functional teams to deliver high-quality data solutions. · Support efficient, secure, and reliable data operations within a modern cloud-based analytics environment. Specific Expertise: · Strong knowledge and hands-on experience with Databricks. · Experience designing and maintaining scalable data pipelines. · Expertise in data transformation processes using Bronze, Silver, and Gold architectures. · Knowledge of automated data quality validation, monitoring, and alerting practices. · Experience optimizing data processing performance and scalability. · Ability to troubleshoot and resolve complex data processing issues. · Understanding of modern cloud-based analytics environments. · Strong collaboration skills for working with cross-functional teams. · Professional proficiency in English. · 5 to 7 years of experience in Data Engineering roles. Language: · English (C1). Location: · Remote (EU). Rate: · Freelance / Contract. Flexible. The rate offered depends on the candidate’s level, in accordance with the European public grading system. Further details are available upon discussion. Departamento IT Puesto CONSULTOR/A Estado remoto Completamente remoto Bilbao ¿Qué ofrecemos? Horarios TheWhiteam ofrece horarios flexibles. Esto se debe a que buscamos cumplir objetivos, no llegar a una cantidad de horas. Tecnologias Las tecnologías más punteras, para estar actualizados a los cambios del momento. Modalidad de Trabajo Dada la situación TheWhiteam da la posibilidad de una modalidad de trabajo presencial, teletrabajo o mixta. Ubicaciones TheWhiteam da la posibilidad de trabajar en ubicaciones situadas por todo el mundo. Lugar de trabajo Formar parte de THEWHITEAM es colaborar con una empresa formada por profesionales con una dilatada experiencia en consultoría tecnológica. Creemos firmemente que las empresas y clientes marcan el camino a seguir en el sector, pero éste lo construyen las personas. Consideramos de vital importancia que nuestra organización se fundamente en nuestro mejor activo y marca de valor añadido que es nuestro equipo humano . Acerca de The White Team Fundada en 2012 por consultores experimentados The Whiteam nace como consultora tecnológica de calidad con una misión clara; ayudar a las compañías de todo el mundo a optimizar su rentabilidad empresarial a través de un uso eficiente de las tecnologías de la información.