Description:

Responsible for designing, industrializing, and optimizing inter-application data pipelines in a data-driven and AI-oriented environment.
Involved in the entire data chain from ingestion to use by data science teams and AI systems within a multidisciplinary team.

Requirements:

5+ years of experience in data engineering, particularly in a cloud environment.
Expertise in Snowflake, including modeling, query optimization, and security (MUST HAVE).
Strong knowledge of AWS services such as S3, IAM, Glue, and Lambda.
Proficient in SQL and Python for data manipulation and ML integration.
Proven experience in ETL/ELT pipeline design and AI/ML integration.
Nice to have: Experience with agentic AI architectures and modern data architectures like Lakehouse or Data Mesh.

Fully remote position in Spain with no visa sponsorship available.
Opportunity to work in a diverse and inclusive environment that values employee contributions and perspectives.

Skills