Data Engineer (Snowflake)

Summary: The Data Engineer role focuses on designing and maintaining robust data pipelines and Snowflake data architecture while ensuring high-quality data integration across enterprise platforms.

Client: from Canada

Remote work: yes

Project language: English

Business trips: no

Project length: 6 months contract + option for prolongations

Start: Flexible /one month notice period

Assignment type: B2B

Remuneration: 350-375 euro/day

FTE: 100%

Key Responsibilities:

• Develop and maintain ETL/ELT pipelines using Snowflake and Azure cloud services.

• Collaborate with cross-functional teams to translate business needs into technical solutions.

• Optimise data architecture for high-performance storage in Snowflake.

• Implement best practices for data governance and security within Snowflake.

• Monitor, troubleshoot, and optimise data pipeline performance with ADF and Snowflake tools.

• Document data integration processes and transformation logic.

• Mentor and support junior team members in technical best practices.

Key Requirements:

• Snowflake expertise in data integration, schema design, and data warehousing.

• Strong experience with SQL Server for data integration and provisioning.

• Proficiency in Azure Data Factory (ADF) for managing ETL/ELT pipelines.

• Advanced SQL skills for performance tuning in data processing.

• 5 years of experience required.

Nice to Have:

• Certifications like Snowflake or Azure Data Engineer.

• Experience with data modeling in Snowflake.

• Automation experience for data validation processes.

• Strong documentation and collaboration skills.

• Excellent problem-solving skills and collaborative mindset.