1 year Apprenticeship - Cloud Data Engineer - Starting date: ASAP

Job description

1 year apprenticeship  |  From October 2020 (starting date can be up to January 2021)  for 1 year contract   |  Paris area  | Master 1 or 2  | with a school that can provide an apprenticeship contrat

Discover Digital @ L’Oréal

Let's start with the numbers:

·        Our E-Commerce: 4,6 Billion Euros in sales, +52,4% sales growth,

·        Our Media:  3 rd  World Wide Advertiser & already 50%  of our media speding in digital

·        Our Data:  1,3 Billion visits on our websites

“Our ambition is to make L’Oréal the beauty tech champion” says Jean Paul Agon. As digital is growing so fast, we are moving to new frontiers to reinvent the beauty experience at the digital age. We are moving from a product company leader in its industry to build the champion in beauty tech.

You’ve read the articles, watched the videos and seen the hype, and now it is your chance to join a digital first company and be part of the beauty tech revolution.

Listen the message from Lubomira Rochet, Chief Digital Officer

Learn about: L'Oréal, inventing the future of beauty

Read what the Operations Digital Transformation Director at L’Oréal, Cristina Monnoyeur, had to say about our Digital journey

So what does your job look like?

Cloud Data Engineer Apprentice

L’Oréal is looking for a Cloud Data Engineer apprentice to join our team to support the build of new Digital Consumer Services for our brands, enable the ongoing buildout of our Consumer Insight data stack on Cloud platforms.

Thanks to innovative digital services we build (Skin Diagnostics, Foundation Finders, Hair Diagnostic, …), our consumer knowledge is improving and we need to build data products to generate efficient insights from this knowledge for our brands and markets.

This position will play a critical role in this insight generation by working on structured and unstructured data such as beauty profiles (beauty description, preferences, concerns, routines), products/contents and services recommendations, services usage, etc.

This position will support existing team to design, code, and implement new data products, support existing pipelines, and support Developers and Business needs on our Microsoft Azure and Google Cloud Platform technology stack.

The Data Engineer will interact within a core team, occasionally interfacing with other technical stakeholders both internally and externally in a international context.
The Data Engineer is a member of the Digital Services Factory team.

The Data Engineer apprentice will also learn to

·      Design, Build pipelines and functionalities in the Azure Data Stack (Data Lake, Cosmos DB, Data Factory, Databricks, Service Bus…) but also in the Google Cloud Platform (Big Query)

·      Scale and template data use cases to integrate in a global data platform (multi-zones, multi-services).

·      Develop and implement databases, data collection systems, data analytics and other strategies that optimize efficiency and quality

·      Understand the existing system and processes to document

·      Work with the Data Architect to translate functional specifications into technical specifications.

·      Work with internal/external partners to enable them browsing and working on our data in an agile environment

·   Receive support from top industry coaches and mentors to progress through your personal and professional goals, skills roadmap, while also demonstrating new knowledge and competencies through hands-on application with your portfolio project.

You are...

·      Attending a Master’s degree in Computer Science or Statistics. 

·      Good exposure to computer skills, including experience with programming languages (Python, SQL, R, etc.)

·      Exposure to Microsoft Azure Data Lake, Data Factory, Databricks, and Database products

·      High level of attention to detail and problem-solving ability

·      Ability to accurately sort and analyze data

·      Understanding of data management (e. g. permissions, security, and monitoring). 

·      Ability to communicate ideas both verbally and in writing

·      Must be willing to learn additional data engineering and analytics toolsets

A + to have:

·      Knowledge in database development projects and ETL processes.  

·      Knowledge with Big Data technologies like Spark, Hadoop… 

You are Inspired? Great, here are the next steps...

·      Click Apply Now, fill in your details and upload your CV (Cover Letter is not necessary)

·      You will then talk to  MYA, our trusted chatbot  to make sure you fulfill the necessary elements (don’t worry, this isn’t an interview)

·      Once you have spoken to MYA you will be sent a link via email to answer 3 competency-based questions with  Seedlink , our artificial intelligence tool, enabling us to see your cultural fit with L’Oréal (candidates that respond to the Seedlink questions are prioritized). 

·       Exploratory HR Telephone Interview. The recruiter will give you a call and guide you into a broad conversation to get to know you better .

·       Operational interview (either at Assessment Centre or individually)  with your potential future manager(s) to convince them that you are the best fit! It is also a great occasion to ask questions on what your tasks will be exactly, the team spirit and what how this internship will develop your competencies.

Go go go! We can't wait to meet you!