Data Platform Engineer — Scale Impactful Data Infra (Hybrid, Copenhagen)

Too Good To Go; København; Hybrid; DKK 900,000 - 1,200,000; Full time

Benefits offered by this job

Hybrid work Copenhagen

Work-life balance

International team

Informal culture

Job summary

Too Good To Go is seeking a Data Platform Engineer to design, scale and run the data infrastructure powering our global mission to fight food waste from our Copenhagen HQ. You will work with Analytics, ML and Backend teams, owning platform infrastructure such as Airflow, Redshift, Glue, and data pipelines, while applying GitOps, Terraform and CI/CD practices.

This role blends data engineering, reliability and cross-functional collaboration to deliver measurable impact across product and

Qualifications

• Strong proficiency in Python and SQL.
• Experience with data warehouses (AWS Redshift) and S3.
• Experience with Airflow, AppFlow, Metaflow, dbt, and data pipelines.
• Knowledge of GitOps, Terraform and CI/CD tooling.

Responsibilities

• Design and maintain data processing solutions and reusable infra.
• Own the shared data platform and build self-service tooling.
• Partner with PMs and Tech Leads to translate use cases into clear technical requirements.
• Automate observability metrics and data quality tests to ensure reliable data sources.

Skills

Python

SQL

Data engineering

Distributed systems

Tools

AWS Redshift

Airflow

Flink

dbt

Metaflow

AppFlow

Terraform

GitHub Actions

Docker

Kubernetes

Glue

EMR

S3

OpenSearch

Job description

Too Good To Go is seeking a Data Platform Engineer to design, scale and run the data infrastructure powering our global mission to fight food waste from our Copenhagen HQ. You will work with Analytics, ML and Backend teams, owning platform infrastructure such as Airflow, Redshift, Glue, and data pipelines, while applying GitOps, Terraform and CI/CD practices.

This role blends data engineering, reliability and cross-functional collaboration to deliver measurable impact across product and