Embedded Data Engineer: Parcel Logistics Pipelines

Toogoodtogo; København; Hybrid; DKK 900,000 - 1,200,000; Full time

Benefits offered by this job

Hybrid work Copenhagen

International team

B Corp environment

Job summary

Too Good To Go seeks a data engineer embedded in the Parcels product domain to design data pipelines and warehouse architecture supporting direct-to-consumer logistics and partner analytics.

You will work alongside Product Managers, Tech Leads and Software Engineers to deliver real-time and batch data solutions while aligning with the central Data Platform. A strong focus on data quality, latency, and governance is expected.

Qualifications

• Experience with logistics, inventory, or supply-chain data systems.
• Proficiency in Python and SQL; strong knowledge of data warehousing (Redshift preferred).
• Experience with Airflow, dbt, and IaC (Terraform).
• Familiarity with DataOps/GitOps and CI/CD tools for streaming or batch data apps.
• Strong communication and stakeholder management in an agile environment.

Responsibilities

• Design, build, and maintain data pipelines for Parcels, real-time and batch.
• Drive scalable data solutions to support logistics and inventory management.
• Collaborate with Product Managers and Tech Leads to translate requirements into tech specs.
• Serve as the primary link between Parcels and central Data Platform team.
• Ensure data quality, SLAs, and governance across warehouse workflows.

Skills

Python

SQL

Airflow

dbt

Terraform

GitHub Actions

Docker

AWS Redshift

DataOps

GitOps

Tools

Airflow

dbt

Terraform

GitHub Actions

Docker

AWS Redshift

Job description

Too Good To Go seeks a data engineer embedded in the Parcels product domain to design data pipelines and warehouse architecture supporting direct-to-consumer logistics and partner analytics.

You will work alongside Product Managers, Tech Leads and Software Engineers to deliver real-time and batch data solutions while aligning with the central Data Platform. A strong focus on data quality, latency, and governance is expected.