At Too Good To Go, we have an ambitious goal: to inspire and empower everyone to
fight food waste together. 40% of all food produced in the world is wasted, contributing to 10% of global greenhouse gas
emissions. We’re more than an app, we are a certified B Corporation working across 19 countries to drive change through our
marketplace app, educational tools, legislative work, and logistics initiatives.
We’re growing fast: Our
community of 118 million registered users and 246,000 active partners across 19 countries, have together already prevented 443+
million meals from going to waste - avoiding over 1.198.000 tonnes of CO2e!
Unlike our core local marketplace—where customers pick up "Surprise Bags" in-store—our Parcels business
delivers ambient, shelf-stable surplus food directly from major FMCG manufacturers and wholesalers to the customer's door.
In this role, you won't just sit in a central data team; you will be embedded directly alongside Product
Managers, Tech Leads, and Software Engineers in the Parcels product domain. You will act as the dedicated data engineer
for Parcels, designing the data pipelines and warehouse architecture needed to support direct-to-consumer logistics, inventory
management, and manufacturer partner analytics—all while remaining connected to our overarching central data infrastructure.
Our data stack consists of Airflow, Python, dlt, AWS (Redshift, Lambda,
Kinesis, S3, Glue), dbt, Metaflow, and Terraform managed via GitOps principles.
Key
Responsibilities
and batch data pipelines tailored specifically to logistics, inventory management, and operational warehouse processing.
high-growth supply chain features.
and Tech Leads within the Parcels domain to translate operational use cases into clear, robust technical requirements.
Platform team, balancing embedded tickets with overarching platform standards.
Ensure high data availability, lower latency (e.g., tracking how long parcels take to reach consumers), and strong data governance
across warehouse and logistics workflows.
(e.g., warehouse latency, logistics tracking, or order fulfillment).
proficiency in Python and SQL, with deep knowledge of modern data warehouse internals (preferably AWS Redshift).
Infrastructure-as-Code (Terraform).
tools (GitHub Actions, Docker) to streaming or batch data applications.
Management: Ability to push back on requirements, simplify complex operational needs, and thrive in a fast-paced, agile
environment.
What We Offer
and directly reduce food waste globally.
business priority.
in our Copenhagen HQ (4 days in office).
countries that are on the same important mission.
within Tech & Product
culture.
for more. We work smart, smash barriers and elevate one another.
solutions are simple.
out for each other. Caring is also about the way we do business. We do the right thing.
written above.
Go.
through our platform. No CV or Cover Letter will be accepted by email or LinkedIn direct messaging.
A Movement for Everyone
We
want to inspire and empower everyone to fight food waste together. With that mission, it’s only natural that we want to build a
diverse and inclusive team of highly capable individuals who are passionate about doing things in a better way. We strongly
believe we all excel and are more creative when we’re allowed to be ourselves, and we’re committed to a culture where all of us
belong.
We are an equal opportunity employer and all employment is decided on the basis
of qualifications, merit and business need. If you need reasonable accommodation at any point in the application or interview
process, please let us know.
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