Remote Data Engineer

Description:

• Build and maintain a Realtime Data Platform for data ingestion, normalization, and analytics.
• Design data models and transformation pipelines, ensuring data quality and reliability for decision-making.

Requirements:

• 3+ years of experience in BI engineering, data engineering, or analytics engineering.
• Strong SQL skills and experience with at least one data warehouse (Athena, Redshift, ClickHouse, Snowflake, BigQuery).
• Hands-on experience with dimensional modeling, dbt, and star/snowflake schemas.
• Proficient in Python for data transformations.
• Experience with data validation, deduplication, and audit logs.
• Familiarity with CI/CD tools like GitHub Actions and Terraform/CDK basics.
• Detail-oriented, reliable, and collaborative mindset.

Benefits:

• Opportunity to shape the BI architecture from the ground up.
• Access to a modern realtime analytics stack (dbt, Cube, Grafana, Postgres, Iceberg).
• Collaborative, engineering-led environment focused on analytics.
• Potential for personal growth while contributing to an innovative team.
• Flexible remote or hybrid work options.
• Luxurious office environment in Prague.
• Company-sponsored language courses to improve English.
• Participation in quarterly team-building activities.