Job title: Data Platform Engineering Specialist

• 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. You will be responsible for mentoring data platform engineers and have opportunity to learn from technical teams, SME's and business leaders about available platforms, tools and business processes.

Main responsibilities:

• Lead and guide the design, development, and optimization of data pipelines, architectures, and data sets, ensuring efficient data ingestion, transformation, and reliable delivery.
• Leverage your extensive experience in data integration technologies, ETL / ELT, and modern data engineering tools, with a strong focus on Informatica/IICS, to create cutting-edge data solutions.
• Work hand-in-hand with cross-functional agile teams to architect and implement hybrid-cloud solutions with automated pipelines, ensuring seamless and high-performance data processing.
• Drive and oversee the life cycle management of deployed data assets and products, taking charge of new releases, change management, monitoring, and troubleshooting.
• Demonstrate your expertise in implementing data warehouse/lake solutions, data mesh architectures, and distributed processing technologies (e.g., Spark, Hadoop, Kafka) for production environments.
• Utilize your extensive knowledge of cloud technologies, preferably AWS, to develop and maintain modern cloud-native data platforms with a focus on performance and scalability.
• Showcase your advanced proficiency in SQL (preferably in Snowflake) and relational/non-relational databases to optimize complex data queries and manipulations.
• Exhibit mastery in programming languages such as Python, Shell scripting, and Scala/Java, leveraging them to develop sophisticated data engineering solutions.
  

About you

Key requirements:

• Bachelor's/Master's degree in Computer Science, Engineering, Mathematics, or a related field. 4-6 years of proven and progressive experience in data engineering, with a strong preference for experience in the life sciences/pharmaceutical industry.
• Extensive background in designing, developing, and optimizing data solutions, including data pipelines, architectures, and data sets.
• Proven expertise in data integration technologies, ETL / ELT processes, and modern data engineering tools, with an emphasis on Informatica/IICS.
• Experience with multimodal data systems and architectures, including batch, near real-time, and streaming data.
• Demonstrated success in developing distributed architectures and processing technologies (e.g., Spark, Hadoop, Kafka) for large-scale data processing.
• Expertise in developing cloud-native data platforms on AWS, ensuring high performance, scalability, and fault tolerance.
• Advanced knowledge of SQL, relational/non-relational databases, and data query optimization.
• Proficiency in programming languages such as Python, Shell scripting, and Scala/Java.
• Expertise in managing cloud-native systems following IaC and DataOps principles (terraform, CI/CD, Orchestration, Actions).

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 an experienced and accomplished Data Engineer looking for an exciting opportunity to shape the future of healthcare through data-driven insights and transformative solutions, we encourage you to apply for this key position. 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 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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