Data Engineer: Databricks

Description

**Description:** ---------------- Do you want to join a leading company in Customer Science and Marketing Automation? At **Cognodata**, we help our clients enhance their competitive position through advanced information management. Join our team! We are currently seeking **a Data Engineer** to work on a banking-sector project using **Databricks**, within an international financial services environment. **Key Responsibilities** * Design Databricks Lakehouse architecture. * Data ingestion from sources: CDC, batch processing, files, APIs, databases, polling, and streaming. * Design activation and serving layers. * Optimize performance and costs. * Data governance and data quality. * Coordinate with CRM and marketing teams. **Key Skills** * Analytical and strategic thinking * Effective communication and data storytelling * Proactivity and results orientation * Ability to adapt to agile environments **What We Offer** Innovative projects across sectors such as banking, retail, insurance, etc. * Professional career development and continuous training. * Positive working environment. * Flexible compensation. * Hybrid remote work (based in Madrid, minimum 2 days per week in the office). * + Flexible working hours. * Intensive work schedule every Friday, and during July and August. * Access to training platforms. **Interested?** Apply now and become part of a company that champions innovation, talent, and professional growth! **Requirements:** --------------- **✅ Minimum Requirements** * Minimum 5 years of experience in Data Engineering. * Solid experience with Databricks. * Solid experience with Spark / PySpark. * Solid experience with Azure Data Lake / Delta Lake. * Experience with data ingestion patterns: CDC, batch processing, files, APIs, databases, polling, and streaming. * Advanced SQL. * Event\-driven architectures. * High-level English.