Senior Data Engineer – Snowflake & Dataiku POC

About the role

Blend is seeking a Senior Data Engineer to lead the design, development, and optimization of data solutions for a high‑impact enterprise initiative. The focus will be on preparing Snowflake data for a Dataiku PO agent proof‑of‑concept, ensuring reliable pipelines and high‑quality datasets.

Key responsibilities

• Prepare, structure, and enable Snowflake data required for the Dataiku PO agent POC.
• Design, develop, and maintain scalable data pipelines that ingest, transform, normalize, and prepare data from multiple sources.
• Implement data ingestion workflows in Snowflake with a focus on reliability and maintainability.
• Develop and maintain analytical data models and enforce data quality checks.
• Use SQL and Python to process large datasets, resolve inconsistencies, and support ETL processes for structured and semi‑structured data.

Required profile

• 5+ years of experience in data engineering or data analytics with a strong engineering focus.
• Hands‑on expertise with Snowflake and advanced SQL skills.
• Proven ability to design data models and implement data quality validation.
• Experience building and maintaining ETL pipelines and data ingestion workflows.
• Strong attention to detail and collaborative mindset.

Required skills

• Snowflake
• SQL
• Python
• Data modeling
• ETL pipeline development
• Data quality validation

What we offer

• Learning opportunities: certifications in AWS, Databricks, Snowflake, AI learning paths, Udemy Business courses, English lessons.
• Travel opportunities to industry conferences and client sites.
• Mentoring and career development programs.
• Celebrations and personal milestone rewards.
• Company‑provided equipment and flexible working options.