Siga leyendo para descubrir lo que necesitará para tener éxito en este puesto, incluyendo habilidades, cualificaciones y experiencia. We are looking for a Senior Data Engineer with +6 years of experience to help drive the evolution of our Azure-based Data Platform and Lakehouse architecture . This role is focused on Data Products development. The successful candidate will build pipelines in ADF, DAGs in Airflow and work closely with POs to refine business requirements and transform business needs into reliable Data Products in Databricks.

Responsibilities:
Implement scalable, reliable and reusable data pipelines using Azure Data Factory and Apache Airflow. Develop data transformations in Azure Databricks (PySpark / SQL) to create/extend data products following the Medallion Architecture layers: Bronze (raw ingestion) Silver (cleansed & conformed) Gold (business-ready data products) Optimize performance, cost, and reliability of data workloads. Raise important questions during business maturation in order to detect risks before development stage. Collaborate with Architects, Product Owners in data product technical maturation. Support & Operations (Run Team Collaboration) Provide support to the Run/Operations team for production pipelines and data products for complex topics. Troubleshoot and resolve data incidents, failures, and performance issues. Participate in incident management, root cause analysis, and post-mortems. Contribute to improving runbooks, monitoring, and operational processes.

Requirements:
Technical Skills 6+ years of experience in data engineering.



Python (PySpark) SQL (advanced level) Hands-on experience with Azure-based Data Platform including: Databricks Unity Catalog Apache Airflow Azure Data Factory Reporting and BI tools (Power BI, Tableau or similar) Solid understanding of data modelling fundamentals, main architectures and design patterns: Data Warehouse, Data Lake and Data Lakehouse architectures Medallion architecture Metadata-driven architecture ETL/ELT design patterns Understanding of: Partitioning, optimization, and performance Batch and streaming pipelines Soft Skills Strong problem-solving and analytical thinking. Designed reusable ETL frameworks. Led an Airflow implementation or migration. Implemented observability and data quality platforms. Acted as a lead engineer or senior individual contributor in a modern Lakehouse environment. Why you'll love working with us €1,200/year for your professional development (trainings, events, certifications…) Monthly feedback sessions with your team to keep learning and growing Private health insurance fully covered by Capitole Payflow benefits (meal, transport, childcare vouchers) Wellhub subscription Discounts with top brands through Capitole Club Life at Capitole Team buildings every two months (our summer party and Christmas dinner are legendary) Glassdoor Reviews The employee will adhere to information security policies: Will have access to confidential information related to Capitole and the project they are working on. Must comply with the security and internal policies of both the company and the client.

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