About us

At Sanofi, we chase the miracles of science to improve people’s lives. All our decisions are taken with our most important stakeholder in mind – the patients.

Having a rich history of innovation that dates back over 100 years, Sanofi more than ever stays true to its commitment to transform the practice of medicine by providing potentially life-changing treatments and the protection of life-saving vaccines to millions of people. This history includes the first treatments for many rare diseases and the establishment of standards of care in diabetes and cardiovascular disease. Sanofi’s commitment to public health has helped protect hundreds of millions of people from influenza every year for decades and pushed polio to the brink of eradication, while its scientific vision has led to breakthrough innovations in the treatment of inflammatory diseases.

~ 43.07Bn€ Net Sales FY23

~90 countries

~ 91K employees

~ 59 manufacturing sites

~ 20 R&D sites

Overview:The Data Engineering Lead is responsible for guiding a diverse team of digital experts in the design and development of fundamental data platforms and products, utilizing agile methodologies. This role demands a leader capable of fostering collaboration and driving engineering excellence within the data foundation ecosystem. 

Key Responsibilities

• Lead the recruitment, hiring, onboarding, and retention of a talented and collaborative engineering team.  

• Develop, lead, and empower an efficient, effective, and agile engineering team to deliver exceptional capabilities and services across the entire data foundation ecosystem.  

• Foster effective teamwork and collaboration with all internal and external stakeholders, including cross-functional business teams, digital functions, and third-party technology partners.  

• Drive engineering excellence by establishing best practices for engineering standards and processes, as well as by implementing innovative solutions to improve development efficiency and quality.  

• Oversee the implementation and enforcement of data governance policies and best practices within their area of responsibility, ensuring data quality, accuracy, security, and compliance with relevant regulations.  

• Manage project timelines, resources, and budgets for data engineering initiatives within their scope, ensuring projects are delivered on time and within budget.  

• Drive innovation and the adoption of new data technologies and best practices within the data engineering team, staying updated with industry trends and advancements.  

• Provide technical leadership and guidance to the data engineering team, acting as a point of escalation for complex technical challenges and unblocking developers to maintain project momentum.  

• Embed the organization's core values and code of conduct within the team, ensuring adherence to the highest standards of ethics and compliance with relevant policies, processes, and regulations. 

Qualifications

• Bachelor’s degree or above in Computer Science, Engineering, or a related field. A Master’s degree is preferred.  

• Significant experience (typically 10+ years) in engineering roles, with increasing levels of responsibility and complexity. 

• Demonstrated experience (typically 5+ years) in leading, mentoring, or technically guiding other engineers or team members. 

• Proven track record of successfully designing, building, and deploying complex data platforms and data products, with deep knowledge of big data ecosystem and full-stack programming. 

• Experience with project management methodologies, preferably Agile, and the ability to manage projects from conception to deployment. 

• Solid understanding of data governance principles, data security best practices, and data quality management. 

• Strong business and data acumen, preferably with 5+ years of experience working in the multinational pharmaceutical industry, possessing a deep understanding of the pharmaceutical commercial business process and model. 

• Customer-centric and product-oriented mindset, with a deep understanding of the methodology for implementing data as a product and a passion for driving data democratization. 

• Excellent communication, interpersonal, and negotiation skills, with the ability to effectively communicate technical concepts to both technical and non-technical audiences. 

• Experience in leverage AI or GenAI for innovative engineering practices is preferred.  

• Pursue progress, discover extraordinary

  Better is out there. Better medications, better outcomes, better science. But progress doesn’t happen without people – people from different backgrounds, in different locations, doing different roles, all united by one thing: a desire to make miracles happen. So, let’s be those people.

  At Sanofi, we provide equal opportunities to all regardless of race, colour, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, or gender identity.

  Watch our ALL IN video and check out our Diversity Equity and Inclusion actions at sanofi.com!