Lead Data Engineer
Omya Barcelona, Catalonia, Spain
Chemical Manufacturing · 5,001-10,000 employees
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About the role
The Lead Data Engineer will design and build data ingestion and transformation pipelines while managing storage and processing layers. They are also responsible for providing technical leadership and mentoring to the data engineering team.
What they look for
Requirements
Candidates must have extensive experience with the Azure Data Platform, including Data Lake, Databricks, and Synapse/Fabric. Proficiency in ETL/ELT pipelines, data quality validation, and CI/CD concepts for data engineering is required.
Benefits
Full description
MAIN RESPONSABILITIES: :
- 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.
- Flexible 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.
#LI-HYBRID
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