Data Engineer Snowflake

Data Engineer (Snowflake Expert) Project: E-commerce

Location: Remote (with occasional meetings if required)

Start: ASAP

• Contract: B2BSeniority: Senior
• Language: English
• About the roleWe are looking for a Senior Data Engineer with strong Snowflake expertise to join an international e-commerce project. You will become part of a data engineering team responsible for building and maintaining modern cloud-based data platforms that support analytics, business intelligence, and data-driven decision-making across the organization.

This role is ideal for someone who enjoys designing scalable data solutions, optimizing data pipelines, and working closely with analytics and business teams in a fast-paced environment.

Your responsibilities

Design, develop, and maintain scalable data pipelines using Snowflake.

Build and optimize ELT/ETL processes for large volumes of business data.

Develop robust data models supporting reporting and analytics.

Optimize Snowflake performance, storage, and compute costs.

Integrate data from multiple internal and external sources.

Ensure data quality, reliability, and governance across the platform.

Collaborate with Data Analysts, Data Scientists, Product Owners, and business stakeholders.

Implement monitoring, testing, and automation for data workflows.

Participate in architecture discussions and contribute to continuous platform improvements.

Requirements5+ years of experience as a Data Engineer.

Strong commercial experience with Snowflake.

Excellent SQL skills.

Experience building cloud-based data platforms (AWS, Azure, or GCP).

Hands-on experience with Python for data engineering.

Experience with ETL/ELT development.

Knowledge of modern orchestration tools such as Airflow or similar.

Experience working with large-scale datasets.

Understanding of data warehousing concepts and dimensional modeling.

Experience with Git and CI/CD practices.

Strong communication skills and the ability to work in an international environment.

Professional level of English.

Nice to have

Experience in the e-commerce or retail industry.

Knowledge of dbt.

Experience with Kafka or other streaming technologies.

Familiarity with Terraform or Infrastructure as Code.

Experience with containerization (Docker, Kubernetes).

Exposure to BI platforms such as Power BI or Looker.