Data Engineer

Data Engineer to build and enhance the data platform for analytics, operations, and data-driven decision-making across the organization.

Requirements

• 2–5+ years of experience as a Data Engineer or similar role.
• Hands-on experience with Snowflake (mandatory)—including SQL, modeling, and basic optimization.
• Experience with dbt (or similar)—model development, tests, documentation, and version control workflows.
• Strong SQL skills for data modeling and analysis.
• Proficiency with Python for pipeline development and automation.
• Experience working with orchestration tools (Airflow, Dagster, Prefect, or equivalent).
• Understanding of ETL/ELT design patterns, data lifecycle, and data modeling best practices.
• Familiarity with cloud environments (AWS, GCP, or Azure).
• Knowledge of data quality, observability, or monitoring concepts.
• Good communication skills and the ability to collaborate with cross-functional teams.

Benefits

• Health & Wellbeing
• Personal & Professional Development
• Unconditional Inclusion