Data Engineer

📋 Description

• Design, build, and maintain data pipelines (ETL) to load data into the data warehouse.
• Develop and optimize data warehouse schemas and tables for analytics.
• Write SQL queries and use Python to transform and aggregate data.
• Implement data quality checks and cleansing routines to ensure data integrity.
• Collaborate with data analysts, data scientists, and engineers to meet data needs.
• Handle multiple tasks, prioritize work, and communicate progress to stakeholders.

🎯 Requirements

• At least 3 years of data engineering or backend data development experience.
• Strong SQL skills and data modeling for data warehouses.
• Proficiency in Python for data processing and pipelines.
• Familiarity with ETL tools and workflow orchestration (e.g., Airflow).
• Experience implementing data quality checks on large-scale datasets.
• Strong problem-solving, communication, and teamwork for cross-functional work.

🎁 Benefits

• Stock grant opportunities dependent on role, employment status and location.
• Additional perks and benefits based on employment status and country.
• The flexibility of remote work, including optional WeWork access.