Job title : Data Service Engineer

  • 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, Barcelona, Cambridge, Bridgewater and most recently, Toronto, with the aim of opening a new office in Budapest. Join a dynamic, fast paced and talented team, with world class mentorship, using AI to chase the miracle of science.

In this role 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. You will Work with Product Line and Business to support, improve and develop new functionality, new features and ensure the Data Product respect the SLA defined.

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

  • Participates in defining the Service Level Agreements (SLAs) for the service

  • Create data pipelines / ETL pipelines and optimize performance

  • Test and validate developed solution to ensure it meets requirements

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

  • 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

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

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

  • Good understanding of agile/scrum development processes and concepts

  • Strong 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 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 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 Spark/Scala, Informatica/IICS/Dbt

  • Knowledge & experienced in ITIL

  • Knowledge on Informatica Cloud and Snowflake

  • Understanding of data structures and algorithms

  • Working knowledge of scripting languages (Python, Shell scripting)

  • 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

Nice to have:

  • Experience working in life sciences/pharmaceutical industry is a plus

  • Familiarity with data ingestion through batch, near real-time, and streaming environments

  • Familiarity with data warehouse concepts and architectures (data mesh a plus)

  • Familiarity with Source Code Management Tools (GitHub a plus)

  • Familiarity with PowerBI and Splunk

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

  • Flexible home office policy, with a possibility to work up to 60% of time from home / where you can easily schedule your office days

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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