TheFork, previously LaFourchette, part of the TripAdvisor group, is a pure player company and the European leader of online booking for restaurants. We are an innovative and fast-growing company building a unique community of members to transform the way people dine out! TheFork goal is to become the #1 app for online restaurant booking in the world.
Why join us?
You are passionate about data and comfortable in an international and agile environment? You're ready for the challenge of a SaaS service for several thousand customers and B2C interfaces for millions of users? Are you ready to invest in a company whose entire service is subject to heavy use and 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 and agile team in a quickly changing environment. You will be involved in an international organization that empowers its employees, cares about their career and values sharing.
As a Senior Data Engineer, your mission will be to build & expand theFork Data Platform, used intensively by all theFork internal teams and our products, supporting multiple domains (BI, Data Insights, Products Analytics, Data Science)
You will report to the Data Product Manager and be part of the central data team composed of ~20 people, regrouping:
Your daily work will consist of:
The Data platform tech stack is built on AWS (S3, EC2, EMR) and Snowflake using some open source technologies such as Airflow, Spark, Sqoop, Jenkins, Elasticsearch, Docker, Kubernetes, etc...
With a minimum 5 years of experience, you have a perfect knowledge of data engineering patterns, technologies and are proficient in python (ideally with several other backend languages and are well versed in software development best practices, such as CI/CD, unit testing, QA and mocks creation ..).
As a senior data engineer, your role will also be to guide the team towards improved patterns, processes and technologies. We will appreciate a large data culture and curiosity for any new technologies.
AWS Sagemaker, Databricks, Kubernetes and Google BigQuery are a plus