Data Engineer, Databricks, Treasury Data Lake

🔥 1 minute ago

🇪🇺 Europe – Remote

💵 €300 / hour

⏰ Full Time

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

👻 Ghost score 16%

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TheWhiteam

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2012

💼 Consulting

📦 Logistics

📣 Marketing

Consulting • Logistics • Marketing

TheWhiteam is a technology consulting firm founded in 2012 that helps companies worldwide optimize business profitability through efficient use of information technologies. The company provides IT consulting and staffing for enterprise and public-sector clients, with expertise across cloud architecture, data center operations, backend and full-stack development, and HR systems like SAP SuccessFactors. TheWhiteam recruits technology professionals and offers flexible, remote and on-site working arrangements across multiple locations.

📋 Description

• 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 • 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 to data engineering use cases and platform improvements

🎯 Requirements

• 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 • English (C1) mandatory • Candidates must specify AI tools, frameworks, or platforms used in their CV

🏖️ Benefits

• Horarios flexibles • Tecnologías más punteras • Posibilidad de modalidad presencial, teletrabajo o mixta • Posibilidad de trabajar en ubicaciones situadas por todo el mundo

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