Senior Data Engineer (Remote, Denmark)

Job summary

This role focuses on developing and optimizing high-performance data platforms within a global data ecosystem. The position emphasizes building reliable and scalable data pipelines that support analytics and business decision-making, with a strong collaboration aspect in a remote-first environment.

Qualifications

• Proficient in SQL and Python for data engineering tasks.
• Experience with DBT, including models, macros, tests, and snapshots.
• Familiarity with Snowflake or similar cloud data warehouse technologies.
• Proven track record in designing and constructing scalable data warehouses and pipelines.
• Understanding of data modeling concepts like star and snowflake schemas.
• Strong communication skills and ability to work in cross-functional, fast-paced remote teams.

Responsibilities

Benefits

• Design, develop, and maintain scalable data pipelines using tools such as Airflow, Airbyte, DBT, and Snowflake.
• Implement and enhance Medallion architecture for efficient enterprise data structuring.
• Build and optimize ETL/ELT workflows integrating data from various sources, including SQL, NoSQL databases, and APIs.
• Improve data modeling practices to ensure high standards of consistency and reliability.
• Monitor and troubleshoot pipeline performance for robustness and efficiency.
• Collaborate with data analysts and business teams to convert data into actionable insights.
• Fully remote full-time position with global flexibility.
• 27 paid working days off annually with full compensation.
• 10 paid sick days per year with partial compensation.
• Provision or reimbursement for technical equipment.
• Access to professional and personal development courses.
• Language learning sessions available.
• Referral bonus program.
• Home office setup budget after 3 months.
• Annual wellness budget for healthcare and fitness services.