Data Engineering Manager

Job description

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 1 st 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
  • Enfo rce 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
  • D esign & develop optimized modules meeting reliability , reusability , latency & performance & requirements
  • Adapt the modules to optimize the running costs
  • Support the Data modules engineers for designing optimized data models
  • Insure le level 3 support of the modules in operation
  • Manage and articulate a team of data engineers
  • Continuous support to help team members t hroughout their personal and professional 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)
  • Familiarity with Service Management Tools (Service Now 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
  • Good knowledge of ServiceNow and monitoring tool such as Splunk, BPPM
  • 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.

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