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.
Tech
Stack
Our data stack consists of Airflow, Python, dlt, AWS (Redshift, Lambda, Kinesis, S3, Glue), dbt, Metaflow,
and Terraform managed via GitOps principles.
Key Responsibilities
Data Architecture: Design, build, and maintain real-time and batch data pipelines tailored specifically to logistics,
inventory management, and operational warehouse processing.
manual processes to scalable, automated data solutions to support high-growth supply chain features.
domain to translate operational use cases into clear, robust technical requirements.
Ownership: Serve as the primary link between the Parcels team and the central Data Platform team, balancing embedded
tickets with overarching platform standards.
lower latency (e.g., tracking how long parcels take to reach consumers), and strong data governance across warehouse and logistics
workflows.
Key Requirements
working with operational, inventory, or supply-chain data systems (e.g., warehouse latency, logistics tracking, or order
fulfillment).
data warehouse internals (preferably AWS Redshift).
experience with Airflow (or similar orchestrators), dbt, and Infrastructure-as-Code (Terraform).
CI/CD: Experience applying DataOps, GitOps, and CI/CD tools (GitHub Actions, Docker) to streaming or batch data
applications.
simplify complex operational needs, and thrive in a fast-paced, agile environment.
What We
Offer
(no mandatory overtime or standard on-call duty).
be part of an international company, with over 1,300+ colleagues across 19 countries that are on the same important mission.
differences and our successes and have a strong values-driven team culture.
beast to fight. We believe in a #oneteam.
elevate one another.
We’re proud of the change we’re driving.
we do business. We do the right thing.
seriously, so please carefully read everything we have written above.
media in order to get a good overview of Too Good To Go.
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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