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Accelerator - Data Engineer Lead - All Gender

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Contenu de l'offre Accelerator - Data Engineer Lead - All Gender chez Sanofi

Accelerator - Data Engineer Lead - All Gender

Le contenu du poste est libellé en anglais car il nécessite de nombreuses interactions avec nos filiales à l'international, l'anglais étant la langue de travail.


Who we are in a nutshell

We are a global biopharmaceutical company focused on human health. Our purpose is to find treatment to fight pain and ease suffering. We combine breakthrough science and advanced technology to develop life-changing medicines and vaccines.

Digital & Data is at the heart of Sanofi: our ambition is to be the leading digital healthcare platform to develop & deliver medicine faster, enable healthcare professionals to improve treatments and help patients improve their health. Our scale, strong connections within health ecosystems across leveraging the world, and ability to leverage Sanofi’s capabilities make us the best place to push the boundaries of medicine through technology.

Why joining Sanofi Digital … ?

Executive sponsorship and governance, with newly appointed CDO & leadership team
Digital & data culture in place with agile ways of working and a strong ecosystem (Sanofi Ventures, BD Partnerships)
Unique diversity of medical & technical challenges, with mobility opportunities
Awarded “Top Employers France” 2021

… and more specifically, why “Accelerator powered by Sanofi” ?

A new entity launched March 1st to Become the leading Digital Health platform
A separate location, in WeWork (Paris 75017), 5 minutes walk away from the future Sanofi HQ location
Startup-like streamlined processes to ensure delivery speed
Focused on end-to-end building the most transformative and profitable products

The products you will work on

We are building next-gen health & digital products, Data Analytics and Artificial Intelligence, including:

Digital Health products improving the patient experience and treatment adherence, through innovative digital products (Software as Medical Devices):

Connected ecosystem solutions such as patients’ glycemic control & full disease management, leveraging connected pens
Symptoms checking apps able to understand disease and track symptoms
Remote treatment solutions providing individual recommendations, accessible by anyone, anytime, anywhere
Personalized care model informed by AI to identify symptoms’ early signals and recommend corrective actions to the patient and the care giver

Omnichannel products supporting multi-channel engagement with healthcare providers & patients:

Multi-channel digital targeting platform to deliver tailored digital campaigns
Machine learning and predictive analytics to improve engagement (calls, chats) based on feedback
Recommendation engines for cross selling/up-selling and next-best action delivery to sales reps
Tailored content delivery based on preference and viewing history

Digital Marketing products optimizing marketing campaign’s reach and impact:

Market analytics tools to understand key dynamics across categories and identify growth/uplift potential
Strategic allocation tools, able to dynamically model impact of different scenarios and achieve sales targets
Tactical allocation tools, with built-in ROI response modelling, at “brand x touchpoint level”


You as a Data Engineering Lead

You are a dynamic Data Engineer interested in challenging the status quo to ensure the seamless creation and operation of the data pipelines that are needed for the enterprise data and analytics initiatives following industry standard practices and tools for the betterment of our global patients and customers.

You are a valued influencer and leader who has contributed to making key datasets available to data scientists, analysts, and consumers throughout the enterprise to meet vital business use needs. You have a keen eye for improvement opportunities while continuing to fully comply with all data quality, security, and governance standards.

Your key responsibilities will be:

Work with business teams to understand requirements, and translate them into technical needs
Support operations with the appropriate mindset-oriented Operation Excellence
Enforce compliance requirements of the solution in regards of GxP regulation
Work in transverse with Cloud & Data architects, Product Owners, Scrum Masters, Development teams and External Partners
Design & develop optimized modules meeting reliability, reusability, latency & performance & requirements
Support the Data modules engineers for designing optimized data models

Manage and articulate a team of data engineers, continuously supporting their development


Key Technical Requirements & Qualifications

Experience with AWS cloud services (Azure & GCP a plus)
Good knowledge of SQL and relational databases technologies/concepts
Experience working with data models and query tuning
Experience in Data warehousing solutions (Snowflake a plus)
Experience in Integration Services (IICS, Tibco a plus) 
Working knowledge of scripting languages (Python, R a plus)
Familiarity with Source Code Management Tools (GitHub a plus)
Familiarity with Visualization Tools (PowerBI, Tableau a plus)
Familiarity with Project Management Tools (JIRA, Confluence a plus)
Experience working in life sciences/pharmaceutical industry is a plus
Relevant cloud certifications (AWS, Azure, Snowflake, IICS) are a plus
Experience on working within compliance (e.g.: quality, regulatory - data privacy, GxP, SOX) and cybersecurity requirements is a plus

Additional qualifications:

Strong experience in automation tools and methodologies specifically using Gitlab, Github action, Terraform, Ansible
Experience with programming languages such as JSON, YAML, Shell Scripting.
Experience with backup system like Netbackup & CommVault
Experience with Real World Data (e,g, EHR, Claims) and standard data models (e,g, OMOP, FHIR)
Experience using frameworks to create pipelines (e.g. Apache Airflow, Kedro)

Soft and behavioral skills

Excellent written and verbal communication skills
Experience working with multiple teams to drive alignment and results
Service-oriented, flexible, positive team player
Self-motivated, takes initiative
Problem solving & critical thinking

Your background

5+ years experiences in a data team as Data Engineer
1+ years experiences managing a Data Engineering team
Bachelor’s Degree or equivalent in Computer Science, Engineering, or relevant field
Experience in the healthcare industry is a strong plus


At Sanofi diversity and inclusion is foundational to how we operate and embedded in our Core Values. We recognize to truly tap into the richness diversity brings we must lead with inclusion and have a workplace where those differences can thrive and be leveraged to empower the lives of our colleagues, patients and customers. We respect and celebrate the diversity of our people, their backgrounds and experiences and provide equal opportunity for all.

As part of its diversity commitment, Sanofi is welcoming and integrating people with disabilities.


Location: Paris

Type: Full time

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