Data Engineer

At Too Good To Go, we have an ambitious goal: to inspire and empower everyone to fight food waste together.

More than 40% of all food produced in the world is wasted and retailers lose between 1-3% of their annual sales due to food waste. All of this waste has a huge impact on the health of our planet, with 10% of greenhouse gas emissions coming from food waste.

The **Retail Technologies** teams at Too Good To Go are working on our new software solution, **the Too Good To Go Platform**, used directly by Retailers to track and redistribute surplus food seamlessly. This **B2B app**, connected to our consumer marketplace, helps stores better manage expiry dates by; detecting products that are about to expire, recommending what to do with them, and facilitating their redistribution (via discounting for in-store customers, donations to charities, or sales on the marketplace). This business app is already used by tens of thousands of store employees every day, and soon to be hundreds of thousands by the end of the year in several countries.

We're more than an app: we are a certified B Corporation with a mission to empower everyone to take action against food waste, so alongside our marketplace app, we create educational tools, explore new business solutions - such as our Retail Technologies offering, and influence legislation to help reduce food waste.

We're growing fast: Our community of 105 million registered users and 241,000 active partners across 19 countries, have together already prevented 383+ million meals from going to waste - avoiding over 1035.000 tonnes of CO2e

**The Role**

Too Good To Go is looking for a new **Data Engineer** for the **Data & Reco team**.

The team is currently composed of two Data Engineers and two Machine Learning Engineers, and works in collaboration with a Product Manager.

The mission of data engineers is to fuel the Platform products and operations with high quality data that are collected from the platform app, retailers and external sources.

To address this mission data engineers build pipelines to:

- Ingest retailers' data
- Ingest app data
- Fuel the app with cleaned data
- Expose aggregated data for Machine Learning Engineers
- Build KPI
- Fuel ops teams with reliable data for deep analysis

**The Tech Stack**

Our data stack consists of Airflow (Python), DBT Core (SQL), Snowflake and Metaflow

**Responsibilities**
- Build and maintain our data infrastructure
- Propose ideas to build the best long-term product
- Maintain the security of the stack (CVE, dependencies upgrades)
- You will act as a problem-solver and owner, always keeping in mind the bigger picture
- Simplify things and break down what looks hard into smaller digestible pieces
- Give feedback
- You know SQL perfectly.If you have experience with DBT & Airflow, it would be great.
- If you have experience in Retail, it would be an ideal bonus.
- You know that the devil is in the details and you enjoy looking for and fixing those small errors that can create inconsistencies.
- You enjoy working in a cross-functional team and exchanging with different stakeholders to understand their needs and build the best possible outcome.

**Our values**
- We win together: Food waste is a big beast to fight. We can do it if we win together as Waste Warriors with no ego. We believe in a #oneteam.
- We raise the bar: We always push for more. We work smart, smash barriers and elevate one another.
- We keep it simple: Our ambitions are bold but our solutions are simple.
- We build a legacy: We're proud of the change we're driving.
- We care: We always look out for each other. Caring is also about the way we do
- business. We do the right thing.

**What we offer**
- Develop and maintain the backbone of our Retail Technologies solution, which will be used by 1000s of retailers every day, to support them in their efforts to combat food waste, positively impact their sales and reach an even bigger audience
- An opportunity to work in a global social-impact company and certified B Corporation where you can see a real and tangible impact in your role.
- To be an integral member of our defined product teams. We are eager for you to make an impact and contribute to the product scope and development; Your insights are valuable, and we are here to listen.
- Work-life balance is important to us Focus on the job to be done, not the hours spent, there is no need for overtime. On-call duty is not part of the job, but can be additionally agreed upon should you and your manager both wish it. We believe happy environments create happy employees.
- We trust in our employees and encourage an autonomous environment that provides several opportunities for employees to contribute, develop and take ownership of their work in a way that works for them.
- To be part of an international company, with over 1,200+ colleagues across 19 countries that are on the same important mission.
- An informal environment, working alongside a tech team of over