Snowflake Data Engineer optimizing data pipelines using Snowflake for a global life science company. Collaborate with cross-functional teams for data solutions and performance improvements in Madrid.
Responsibilities
Design, develop, and maintain scalable data pipelines in Snowflake for efficient data ingestion, transformation, and reporting
Build and optimize SQL queries for large datasets to support analytics and reporting requirements
Design and implement effective data models (star/snowflake schemas, normalized/denormalized models) to support analytical and operational use cases
Implement data quality checks, monitoring, and logging using DevOps tools and best practices
Collaborate with data analysts, data scientists, and business stakeholders to understand requirements and deliver data solutions
Optimize Snowflake performance, manage compute resources, and ensure security and access controls are in place
Participate in troubleshooting, performance tuning, and support of Snowflake-based solutions
Document data flows, technical designs, and standard operating procedures
Requirements
Several years of experience as a Data Engineer with hands-on expertise in Snowflake
Proficient in SQL for data transformation, analysis, and performance tuning
Strong programming skills in Python, especially for data manipulation and pipeline automation
Familiarity with DevOps practices and tools (e.g., Git, CI/CD pipelines, Infrastructure as Code)
Experience with data modeling concepts and performance optimization in Snowflake
Excellent communication and documentation skills
Strong problem-solving skills and ability to work independently or in a team
Excellent communication and presentation skills in English, German is desirable.
Identification with our core values: Sustainability, Openness, Enjoyment
Benefits
Personal and Professional Development: Mentoring, leadership programs, Talent Talks, internal seminar offerings, coaching for managers
Work life balance: Remote options, flextime, flexible work schedules, sabbaticals
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