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Senior Data Engineer (H/F) - Paris

# 27946
5 month (since 25 Jul)
#Data Science & BI#SQL#Python


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

You will report to the Data Engineering Manager and be part of the central data team composed of ~30 people.


Your daily work will consist of:

Designing efficient patterns to store and analyze Terabytes of data

Implementing complex acquisition and transformation workflows

Building smart data models to serve our product teams and our BI, Insights and data science teams while minimizing the costs

Developing tools to help our data scientists industrialize machine learning projects

Working on data quality & reliability to ensure we provide trustable metrics to the whole company

Required profile

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 of 5 year of experience, you have a good knowledge of data engineering patterns, technologies and are proficient in python. You have experience in SW development practices such as CI/CD, unit testing, ..

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

Willing to work in team and interact with technical and business stakeholders

Used to work in an agile environment (meaning priority changes is not

Proficient in english (written and spoken)

Curious and humble


Min 5 years of data engineering experience

Great team player and at ease to interact with technical and business stakeholders

Used to work in an agile environment & OK with priorities changes

Curious, humble and exhibits a balance between creativity and pragmatism

High willingness to learn and teach others

Proficient in english (written and spoken)

Technical skills

SQL and Python


Apache Airflow

Infrastructure knowledge, AWS, Docker, Jenkins and Kubernetes appreciated

Proficient with git and unix

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

Our mission ?

Bring happiness through amazing dining experiences


Location : Paris

Lenght : 3 months

Start : asap

Tristan Mougel

Talent Aqcuisition Specialist

Data & Business Intelligence

Microsoft Technologies

07 57 90 84 37



Talent Acquisition Specialist

+33 7 57 90 84 37

I am a Talent Acquisition Specialist, Join my community !


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