Data Engineer

• Location: Budapest

Sanofi has recently embarked into a vast and ambitious digital transformation program. A cornerstone of this roadmap is the acceleration of its data transformation and of the adoption of artificial intelligence (AI) and machine learning (ML) solutions, to accelerate R&D, manufacturing and commercial performance and bring better drugs and vaccines to patients faster, to improve health and save lives.

We are seeking an experienced Data Engineer interested in challenging the status quo to ensure the seamless creation and operation of the data pipelines that are needed by Sanofi’s advanced analytic, AI and ML initiatives for the betterment of our global patients and customers.

Main responsibilities:

• Work with business teams to understand requirements and translate them into technical needs
• Gather/organize large & complex data assets, and perform relevant analysis
• Create data models and optimize queries performance
• Communicate results and findings in a structured way
• Partner with the Product Owner and Data Analysts to prioritize the pipeline implementation plan
• Partner with Data Analysts and Data scientists to design pipelines relevant for business requirements
• Leverage existing or create new “standard data pipelines” within Sanofi to bring value through business use cases
• Ensure best practices in data manipulation are enforced end-to-end

Key Functional Requirements & Qualifications:

• Experience working with a variety of cross-functional teams
• Good understanding of agile/scrum development processes and concepts
• Able to work in a fast-paced, constantly evolving environment and manage multiple priorities
• Pragmatic and capable of solving complex issues
• Service-oriented, flexible team player
• Attention to detail & technical intuition
• Excellent written, verbal, and interpersonal skills for executive level communication and collaboration

Key Technical Requirements & Qualifications:

• Bachelor’s Degree or equivalent in Computer Science, Engineering, or relevant field
• 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 Project Management and Service Management Tools

• Exposure to training and certification pathways for technical and functional skills from AWS, SnowFlake, Informatica and others
• An international work environment, in which you can develop your talent and realize ideas and innovations within a competent team
• Flexible home office policy, with a possibility to work up to 60% of time from home / where you can easily schedule your office days

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. You can be one of those people. Chasing change, embracing new ideas and exploring all the opportunities we have to offer. Let’s pursue progress. And let’s discover extraordinary together.

At Sanofi, we provide equal opportunities to all regardless of race, color, 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!

Discover our Code of Conduct, that serves as the moral compass that guides us when chasing the miracles of science to improve people’s lives. Please ensure to have read this document, before applying.

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