Job title : Data Platform Engineer Analyst

  • Location: Budapest

About the job

We are seeking an experienced data engineer to work with lead data engineers and global Sanofi data engineering teams to drive implementation of Data platform for Sanofi's advanced analytic, AI, and ML initiatives. As an experienced Data Engineer, you will play a critical role in helping design and implement globally scalable data engineering platform to make it easier for internal teams to start implementation of their user case and to enhance the lives of our global patients and customers. Your expertise will be instrumental in shaping the future of data-driven healthcare while providing technical leadership and mentorship to the data engineering team.

In your role, you will be reporting to Senior Data Platform Manager, working closely with leadership to build data platform with inputs and feedback received from various teams across data foundations and business to address their immediate and long term needs.

Main responsibilities:

  • Collaborate with experienced data engineers and business teams to assist in understanding data requirements, especially in areas like bioinformatics, omics, clinical data, and more. Contribute to the development of robust and scalable data engineering solutions

  • Learn and assist in the design, development, and optimization of data pipelines, architectures, and data sets. Support the efficient data ingestion, transformation, and reliable delivery of data

  • Familiarize yourself with data integration technologies, ETL / ELT processes, and modern data engineering tools. Gain hands-on experience with tools such as Informatica/IICS to create cutting-edge solutions

  • Work closely with cross-functional agile teams to contribute to the design and implementation of hybrid-cloud solutions with automated data pipelines

  • Assist in tasks related to the life-cycle management of deployed data assets and products, including monitoring and troubleshooting under the guidance of senior team members

  • Learn about and adhere to global data engineering standards, ensuring alignment with data architecture, platform, quality, and governance principles

  • Explore and develop foundational knowledge in data warehouse/lake solutions, data mesh architectures, and distributed processing technologies (e.g., Spark, Hadoop, Kafka)

  • Gain familiarity with cloud technologies, with a focus on AWS, to support the development and maintenance of modern cloud-native data platforms

  • Build proficiency in SQL (preferably in Snowflake) and relational/non-relational databases. Use programming languages such as Python, Shell scripting, and Scala/Java

  • Actively participate in the data engineering community, learn from experienced professionals, and share your insights and experiences as you grow

  • Engage actively with the data engineering community, sharing insights, best practices, and innovative ideas to contribute to the growth of the industry

About you

Key requirements:

  • Bachelor's/master’s degree in computer science, Engineering, Mathematics, or a related field

  • Proven experience in data engineering or a related field

  • A strong passion for data engineering and a desire to learn and grow in the field

  • Eagerness to work collaboratively in cross-functional teams and learn from experienced data professionals

  • Basic understanding of data concepts and an analytical mindset

  • Excellent problem-solving skills and attention to detail

  • Strong communication skills and a willingness to learn how to convey technical concepts to diverse stakeholders

  • Ability to adapt to a fast-paced, dynamic work environment

  • Interest in data integration technologies, cloud platforms, and data engineering tools

Why choose us?

  • 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

If you are a data engineer with 1-3 years of experience, excited about the prospect of building a career in data engineering to shape the future of healthcare through data-driven insights and transformative solutions, we encourage you to apply for this opportunity. Join us in making a significant impact on the lives of global patients and customers through innovative data engineering solutions.

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 ( !

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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