• Location: Budapest

About the job

Sanofi’s Digital Data organization’s mission is to transform Sanofi into a data-first and AI first organization by empowering everyone with good data. Through custom developed products built on world class data foundations and platforms, the team builds value and a unique competitive advantage that scales across our markets, R&D and manufacturing sites. The team is located in major hubs in Paris, Lyon, Budapest, Barcelona, Cambridge, Bridgewater and most recently, Toronto. Join a dynamic, fast paced and talented team, with world class mentorship, using AI and ML to chase the miracle of science.

In this role you will lead Data Engineering technical development to develop best-in-class cloud-first solutions to support our data and AI teams.

Main responsibilities:

• Establish technical designs to meet business and technical requirements as a prime data engineering lead

• Develop and maintain all components of data engineering solutions and pipelines based on requirements and design specifications using appropriate tools and technologies

• Optimize solutions (ETL / data pipelines) to balance performance, functionality, cost, and other operational requirements

• Conduct peer reviews for quality, consistency, and rigor for production level solution

• Create design and development documentation based on standards for knowledge transfer, training, and maintenance

• Define and promote best practices and standards for code management, automated testing, and deployments

• Work with business and products teams to understand and decompose high level business requirements, and translate them into technical needs

• Leverage existing or create new standard data pipelines within Sanofi to bring value through business use cases 

• Develop automated tests for CI/CD pipelines

• Test and validate developed solution to ensure it meets requirements and design specifications

• Mentor and train junior team members

• Assess and fix data pipeline issues to ensure performance and timeliness of execution

• Lead data engineering efforts to modernize and replace legacy solutions and platforms

• Partner with Data Engineering Manager, Product Owner and Data Analysts to create implementation plan, including assessments of timelines and complexity

• Gather/organize large & complex data assets, and perform relevant analysis  

• Actively contribute to Data Engineering community and define leading practices and frameworks

• Communicate results and findings in a clear, structured manner to stakeholders at various levels

• Remain up to date on the company’s standards, industry practices and emerging technologies 

About you

Key Functional Requirements & Qualifications: 

• Experience working cross-functional teams to solve complex data architecture and engineering problems

• Demonstrated ability to learn new data and software engineering technologies in short amount of time

• Experience with agile/scrum development processes and concepts

• Able to work in a fast-paced, constantly evolving environment and manage multiple priorities 

• Demonstrated technical analysis and problem-solving skills related to data and technology solutions

• Excellent written, verbal, and interpersonal skills with ability to communicate ideas, concepts and solutions to stakeholders at all levels

• Pragmatic and capable of solving complex issues, with technical intuition and attention to detail

• Service-oriented, flexible, and approachable team player

• Fluent in English (Other languages a plus)

Key Technical Requirements & Qualifications: 

• Bachelor’s Degree or equivalent in Computer Science, Engineering, or relevant field 

• 5+ years of experience in data engineering, integration, data warehousing, business intelligence, business analytics, or comparable role with relevant technologies and tools (Spark, Informatica/IICS or equivalent)

• Experience in Big Data integration, including cloud-based platforms such as AWS, and Snowflake

• Proficiency in data structures and algorithms

• Demonstrated experience in scripting languages (Python, SQL, Shell scripting)

• Experience with job scheduling and orchestration (Control-M and Airflow is a plus)

• Strong proficiency in relevant technologies such as databases (relational and NoSQL), distributed systems, and microservices

• Experience working with large data sets, and performance and query optimization

Why choose us?

• An international work environment, in which you can develop your talent and realize ideas and innovations within a competent team.

• Exposure to training and certification pathways for technical and functional skills from AWS, SnowFlake, Informatica and others.

• Your own career path within Sanofi. Your professional and personal development will be supported purposefully.

• Work from an "Office of the Year 2024" finalist office.

Pursue Progress. Discover Extraordinary.

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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