Senior Data Engineer - Remote

Overview

The Senior Data Engineer will design, develop, and maintain scalable ETL pipelines on Databricks, ensuring efficient data integration and processing from various sources.

In Short

• Design and maintain ETL pipelines on Databricks.
• Build and manage the DataLakehouse.
• Monitor data stack for performance and reliability.
• Collaborate with teams for seamless data integration.
• Stay updated with industry best practices.

Requirements

• Bachelor's degree in a related field or equivalent experience.
• Proficiency in ETL process design and orchestration.
• Hands-on experience with Databricks and AWS services.
• Strong skills in Python, SQL, and PySpark.
• Knowledge of data quality best practices.
• Experience with GitLab CI/CD is a plus.
• Familiarity with PostgreSQL is a plus.
• Excellent problem-solving and communication skills.
• Fluent in English.

Benefits

• 30 days of paid vacation.
• Public transportation benefits.
• Annual education budget of 1,500€.
• Workation opportunities.
• Gym membership access.
• Monthly team lunches and healthy snacks.
• Flexible working hours and remote work options.
• Exclusive corporate discounts.
• Diverse and international team environment.
• Socializing area for relaxation during work hours.
• Workspace setup provided for remote work.