• Location: Budapest

About the job

Sanofi’s Digital organization’s mission is to transform Sanofi into a data-first and AI-first organization by empowering everyone with good data. Through custom developed AI 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, Barcelona, Cambridge, Bridgewater, Toronto, Hyderabad and most recently, Budapest. Join a dynamic, fast paced and talented team, with world class mentorship, using AI to chase the miracle of science.

In this role, as a Data Service Engineer, you will:

• Be part of the Service Line team, where our ambition is to support the development of Data Product, with a high level of support and a pro-active maintenance
• Work with Product Line and Business to support, improve and develop new functionality, new features and ensure the Data Product respect the SLA defined
• Define, monitor, measures service(s) and makes sure that the service meets the SLA
• Deliver, own, and manage the lifecycle of technical solutions, service offerings, associated service requests and knowledge articles
• Identify, communicate, and execute continuous improvement opportunities

Main responsibilities:

• Propose and establish technical designs to meet business and technical requirements
• Develop and maintain data engineering solutions based on requirements and design specifications using appropriate tools and technologies
• Support the data products by fixing bugs and solving incidents
• Capacity and ability to work with 3rd party contractors
• Create and maintain data pipelines / ETL pipelines and optimize performance
• Test and validate developed solution to ensure it meets requirements
• Create design and development documentation in Confluence / ServiceNow or SharePoint, based on standards for knowledge transfer, training, and maintenance
• Work with business and products teams to understand requirements, and translate them into technical needs, and provide technical support the data products
• Adhere to and promote to best practices and standards for code management, automated testing, and deployments
• Leverage existing or create new standard data pipelines within Sanofi to bring value through business use cases
• Develop automated tests for CI/CD pipelines
• Gather/organize large & complex data assets, and perform relevant analysis
• Conduct peer reviews for quality, consistency, and rigor for production level solution
• Actively contribute to Data Engineering community and define leading practices and frameworks
• Communicate results and findings in a clear, structured manner to stakeholders
• Remains up to date on the company’s standards, industry practices (GxP) and emerging technologies

About you

Key Functional Requirements & Qualifications:

• Experience working cross-functional teams to solve complex data architecture and engineering problems and incidents
• Demonstrated ability to learn new data and software engineering technologies in short amount of time
• Good understanding of agile/scrum development and support processes and concepts
• Able to work in a fast-paced, constantly evolving environment and manage multiple priorities
• Strong technical analysis and problem-solving skills related to data and technology solutions and experience with Bug fixing and solving incidents
• Excellent written, verbal, and interpersonal skills with ability to communicate ideas, concepts and solutions to peers and leaders
• 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 are a plus)

Key Technical Requirements & Qualifications:

• Bachelor’s Degree or equivalent in Computer Science, Engineering, or relevant field
• 2+ years of experience in data engineering, integration, data warehousing, business intelligence, business analytics, or comparable role with relevant technologies and tools, such as Informatica/IICS/Dbt/Airflow/Snowflake/ServiceNow.
• Knowledge & experience in ITIL is a plus
• Knowledge on Informatica Cloud IICS
• Knowledge on Snowflake is a plus
• Knowledge on Jira /Confluence and ServiceNow is a plus
• Understanding of data structures and algorithms
• Working knowledge of scripting languages (Python, Shell scripting)
• Experience in cloud-based data platforms (Snowflake is a plus)
• Experience with job scheduling and orchestration (Airflow is a plus)
• Good knowledge of SQL and relational databases technologies/concepts
• Experience working with data models and query tuning

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

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.

#Sanofi #WeNeverSettle #SanofiCareers #PursueProgress #DiscoverExtraordinary #joinsanofi #careerswithpurpose #SBSBUDAPEST #LI-EUR #LI-Hybrid

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, ability or gender identity.

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