Data Engineer (Snowflake)

What you will do

• Design and build scalable data pipelines in Snowflake using SQL, Snowpark (Python), and Stored Procedures.
• Own Snowflake security and governance, including RBAC, dynamic data masking, row access policies, and object tagging.
• Develop and optimize data ingestion using Snowpipe, COPY INTO, and external stages.
• Optimize performance through virtual warehouse sizing, query profiling, clustering, and search optimization.
• Implement data transformations and semantic layers using dbt, applying medallion or Data Vault modeling patterns.
• Build reliable orchestration and CI/CD for data pipelines using Snowflake Tasks & Streams, external orchestrators, and infrastructure as code.
• Collaborate with and mentor engineers, partner with analytics and ML teams, and drive continuous improvements across the data platform.

What we offer

• Projects in different domains: healthcare, manufacturing, e-commerce, fintech, etc.
• Projects for every taste: Startup products, enterprise solutions, research & development initiatives, and projects at the crossroads of SAP and the latest web technologies.
• Global clients based in Europe and the US, including Fortune 500 companies.
• Employment security: We hire for our team, not just a specific project. If your project ends, we will find you a new one.
• Healthy work atmosphere: On average, our employees stay with the company for 4+ years.
• Market-based compensation and regular performance reviews.
• Internal expert communities and courses.
• Perks to support your growth and well-being.

Requirements

REQUIREMENTS

• 5+ years of hands-on experience in Data Engineering.
• Strong expertise in Snowflake, including architecture, advanced SQL, Snowpark (Python), and data governance (RBAC, masking policies).
• Solid experience with dbt (models, tests, snapshots, incremental strategies, CI/CD).
• Experience with data orchestration tools (Airflow, Dagster, Prefect) or Snowflake Tasks and Streams.
• Proven ability to design and maintain scalable Data Warehouse or Data Lakehouse architectures.
• Experience optimizing costs by managing Snowflake credits, warehouse configurations, and storage usage.
• Strong Python skills for data transformation, automation, and scripting.
• English B2+.

Nice to Have

• SnowPro Core or SnowPro Advanced Architect certifications.
• Experience building production-grade dashboards in BI tools (Tableau, Looker, Superset, Metabase).
• Experience with Cloud Platforms (AWS/Azure/GCP) regarding IAM, S3/Blob Storage networking.