Analytics Engineer

We are building a modern data platform that empowers the business to make data-driven decisions. Our stack is based on cutting-edge tools, with a strong emphasis on automation, scalability, and data quality.

Responsibilities

• Develop and maintain analytical models in dbt.
• Work with data warehouses (mainly Snowflake or BigQuery).
• Design and optimize data pipelines for ingestion, transformation, and loading.
• Integrate data sources using tools such as Airbyte, Fivetran, or Stitch.
• Collaborate closely with product, engineering, and analytics teams to ensure high-quality data delivery.
• Contribute to the adoption of CI/CD practices, data monitoring, and testing.

Requirements

• Hands-on experience with dbt (mandatory).
• Practical expertise with at least one modern DWH (Snowflake, BigQuery, or similar).
• Strong SQL skills and understanding of data modeling principles.
• Basic knowledge of DevOps practices (CI/CD, Docker, Infrastructure-as-Code).
• Experience with ELT tools (Airbyte, Fivetran, Stitch) is a strong plus.
• Familiarity with duckdb is a nice-to-have (a signal of curiosity about modern data stack).

We Offer

• Opportunity to work with a modern data engineering stack in a big innovation company
• A team that values openness, knowledge sharing, and best practices in data.
• Flexible schedule, hybrid cooperation.
• Competitive compensation and professional growth opportunities.