Senior Data Engineer

📋 Description

• Product-embedded data architecture for Parcels domain.
• Design and maintain real-time and batch pipelines for logistics and inventory.
• Collaborate with Product Managers and Tech Leads to translate needs.
• Own data platform interfaces between Parcels and central data team.
• Ensure data quality, latency, and governance across workflows.

🎯 Requirements

• Logistics and ops mindset with warehouse or supply-chain data experience.
• Python and SQL proficiency; deep AWS Redshift knowledge.
• Experience with Airflow, dbt, Terraform (IaC).
• DataOps/CI/CD with GitHub Actions, Docker for streaming or batch.
• Strong communication and stakeholder management in agile env.

🎁 Benefits

• Help reduce food waste as part of a B Corp mission.
• High-impact embedded product role with ownership over a priority.
• Work-life balance; no mandatory overtime.
• Hybrid work setup in Copenhagen HQ (4 days in office).
• International company with 1,300+ colleagues across 19 countries.
• Collaborative environment among 180+ people in Tech & Product.