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Tripadvisor // enabling travelers to plan & book trips
Engineering, Full Time    Paris, France    Posted: Thursday, December 02, 2021
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TheFork, previously LaFourchette, part of the TripAdvisor group, is a pure player company & the European leader of online booking for restaurants. We are an innovative & fast-growing company building a unique community of members to transform the way people dine out! The Forks  goal is to become the #1 app for online restaurant booking in the world.

Why join us?

You are passionate about data & comfortable in an international & agile environment? You're ready for the challenge of a SaaS service for several thousand customers & B2C interfaces for millions of users? Are you ready to invest in a company whose entire service is subject to heavy use & is present in close to 20 countries, to accompany its rapid growth? You want to secure services that power the leader of online restaurant booking?

You will join a dynamic & agile team in a quickly changing environment. You will be involved in an international organization that empowers its employees, cares about their career & values sharing.

Job description

As a Data Engineer, your mission will be to build & expand theFork Data Platform, used intensively by all theFork internal teams & our products, supporting multiple domains (BI, Data Insights, Products Analytics, Data Science)

You will report to the Data Product Manager & be part of the central data team composed of ~20 people, regrouping:

  • Data Asset departments, including Data Engineering team & Data Management team
  • Data activation departments, including Data Insights team, Product Analytics Team, a BI factory & a Data Science team

Your daily work will consist of:

  • Designing efficient patterns to store & analyze Terabytes of data
  • Implementing complex acquisition & transformation workflows
  • Building smart data models to serve our product teams & our BI, Insights & data science teams while minimizing the costs
  • Developing tools to help our data scientists & industrializing machine learning projects
  • Working on data quality & reliability to ensure we provide trustable metrics to the whole company

The Data platform tech stack is built on AWS (S3, EC2, EMR) & Snowflake using some open source technologies such as Airflow, Spark, Sqoop, Jenkins, Elasticsearch, Docker, Kubernetes, etc...

With a minimum of 2 years of experience, you have a good knowledge of data engineering patterns, technologies & are proficient in python. You have experience in SW development practices such as CI/CD, unit testing, ..

We will appreciate a large data culture & curiosity for any new technologies. 

  • Willing to work in team & interact with technical & business stakeholders
  • Used to work in an agile environment (meaning priority changes is not 
  • Proficient in english (written & spoken)
  • Curious & humble


  • Min 2 years of data engineering experience
  • Great team player & at ease to interact with technical & business stakeholders
  • Used to work in an agile environment & OK with priorities changes
  • Curious, humble & exhibits a balance between creativity & pragmatism
  • High willingness to learn & teach others
  • Proficient in english (written & spoken)

Technical skills 

  • SQL & Python
  • Snowflake
  • Apache Airflow
  • Infrastructure knowledge, AWS, Docker, Jenkins & Kubernetes appreciated
  • Proficient with git & unix 

Streaming technologies (CDC pipelines, stream processing, ...) & AWS Sagemaker, Databricks, Kubernetes and  Google BigQuery are a plus


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