Design and build data ingestion and transformation pipelines
Manage data storage and processing layers
Ensure data performance, reliability, and quality
Implement data engineering best practices and standards
Provide technical leadership and mentoring to data engineers
Qualifications & Skills
Azure Data Platform (Data Lake, Databricks, Synapse / Fabric)
ETL / ELT pipelines and data transformation frameworks
Structured and semi-structured data processing
Data quality validation and performance optimization
CI/CD concepts for data pipelines
What We Offer
Hybrid Work Model: Flexibility to work from home and in the office, according to the policy, helping you achieve a healthy work-life balance.
Ticket Restaurant:
Enjoy a daily meal allowance to support your well-being.
Versátil retribution: Kindergarten & Transport
30 Labor Days of Holidays: Ample time off to relax and recharge.
Language Lessons: Access to language lessons to help you grow both personally and professionally.
Medical Insurance: 60% company-subsidized medical insurance for employees, with the option to extend coverage to family members at a highly competitive rate.
Open and Modern Office Environment: Work in a collaborative, innovative, and comfortable space designed for your success.
📌 Lead Data Engineer (Madrid)
🏢 Omya
📍 Madrid
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