Analytics Engineer

A B Corporation fighting food waste through technology solutions and marketplace connecting retailers with consumers.
$60,000 - $90,000
Data
Mid-Level Software Engineer
Hybrid
1,000 - 5,000 Employees
3+ years of experience
Enterprise SaaS · Consumer
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Description For Analytics Engineer

Too Good To Go is a mission-driven B Corporation tackling the global food waste crisis through innovative technology solutions. With over 111 million registered users and 237,000 active partners across 19 countries, we've prevented 410+ million meals from being wasted. We're seeking an Analytics Engineer to join our Data & Recommendations team within Retail Technologies.

The role focuses on building and maintaining our data infrastructure that powers our B2B platform, which helps retailers track and redistribute surplus food. You'll work with a tech stack including Airflow, DBT Core, Snowflake, and Metaflow, collaborating with a team of Data Engineers and Machine Learning Engineers.

As an Analytics Engineer, you'll be responsible for structuring data from various retailers, maintaining KPIs, providing clean datasets to stakeholders, and implementing software engineering best practices. The position offers a unique blend of data engineering and machine learning tasks, making it suitable for both Data Engineers and Analytics Engineers.

Working from our Paris office three days a week (Monday, Tuesday, Thursday), you'll join a fun, informal environment with ~100 colleagues locally and be part of a larger tech team of 180+ passionate individuals. We offer a strong work-life balance, autonomous working environment, and the opportunity to make a real impact on food waste reduction.

The ideal candidate should have expert SQL knowledge, with experience in DBT & Airflow being advantageous. Retail experience is a plus, but most importantly, we're looking for someone detail-oriented who enjoys collaborative work and problem-solving.

Last updated 3 months ago

Responsibilities For Analytics Engineer

  • Build and maintain data infrastructure
  • Propose ideas to build the best long-term product
  • Maintain the security of the stack
  • Act as a problem-solver and owner
  • Simplify and break down complex problems
  • Structure data coming from different retailers
  • Create and maintain KPIs to monitor data quality
  • Provide clean dataset to end users
  • Apply software engineering best practices

Requirements For Analytics Engineer

Python
  • Expert knowledge in SQL
  • Experience with DBT & Airflow (preferred)
  • Retail experience (preferred)
  • Attention to detail
  • Strong cross-functional collaboration skills

Benefits For Analytics Engineer

Medical Insurance
Parental Leave
  • Work-life balance focused environment
  • Autonomous work environment
  • International work environment with 1,200+ colleagues across 19 countries
  • Informal and values-driven team culture
  • Social impact through B Corporation certification
  • No mandatory overtime
  • Optional on-call duty

Interested in this job?