Job title: Data Engineer

• Location: Budapest – Sanofi Business Services, Váci Greens 

About the job

At Sanofi, we are committed to providing the next-gen healthcare that patients and customers need. It is about harnessing data insights and leveraging AI (Artificial Intelligence) responsibly to search deeper and solve sooner than ever before. Join our Digital Corporate team as Data Engineer and you can help make it happen.

Main responsibilities:

• 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 (Extract, Transform, Load) / data pipelines) to balance performance, functionality, cost, and other operational requirements
• Work with business and products actors inside a team following Agile methodology to understand and decompose high level business requirements, and translate them into technical needs and implement them 
• Develop automated tests for CI/CD pipelines 
• Create design and development documentation based on standards for knowledge transfer, training, and maintenance 
• Contribute towards supporting the Data Objects as needed that are in Production

About you 

• Experience: Minimum 2 years of professional experience in data engineering, integration, data warehousing, business intelligence, business analytics, or comparable role with relevant technologies and tools (Snowflake, Databricks, Spark, Informatica/IICS or equivalent)
• You have worked cross-functional teams to solve complex data architecture and engineering problems, 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 capacity to propose innovative solutions
• Technical skills: Experience in Big Data integration, including cloud-based platforms such as AWS (Amazon Web Services), and Snowflake, proficiency in data structures and algorithms, expertise with core data science languages (Python), experience with job scheduling and orchestration (Airflow is a plus), experience working with large data sets, and performance and query optimization
• Soft skills: Good presentation and communication skills with a strong attention to detail and listening capacity. In a team spirit mode, with different multicultural actors, you can work independently and as part of a team. You demonstrate the capacity to learn innovative technologies in a short amount of time to adapt to changes and answer challenges
• Education: Bachelor’s Degree or equivalent in Computer Science, Engineering, or relevant field
• Languages: Fluency in English is necessary to operate in a multicultural environment 

Why choose us?

• An international work environment, in which you can develop your talent and realize ideas and innovations within a competent team
• An environment based on last technologies and frequent training to reinforce your profile 
• An attractive, market-oriented salary and cafeteria benefits
• Flexible home office policy, with a possibility to work up to 60% of the time from home / where you can easily schedule your office days
• Work from an "Office of the Year 2024" finalist office

PursueProgress. 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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