As a Sr Engineer – Product Data Integration you’ll be responsible to provide database solution, technical design, architecture, and support for carrying out the implementation of enterprise database development. You’ll drive Data Integration projects and develop appropriate strategies to introduce new methodologies, in order to meet business needs. Apart from these, you’ll guide Data Engineers to implement new technologies reinforcing data availability, accessibility and Integrity, ensure exploitability of data of interest, coach internal partners enabling them to understand the relationship between their functional requirements and the data integration requirements, provide fast prototyping capabilities.


- Define database engineering roadmap
- Design, code and implement software solutions using modern techniques and programming languages
- Settle database structural requirements by analyzing customer processes, applications and programming
- Develop database solutions by crafting & modeling proposed system
- Plan and conduct database/software-related projects from concept to effective and efficient solutions for end-users requiring independent thought and scientific/technical judgment
- Work on data analytics development projects requiring external collaboration to deliver needed services and products in line with timelines and quality levels required for RRP development
- Collaborate across sites or functions to generate innovative solutions and ideas for scientific/technical issues and direct vendors/external resources regarding projects or scientific/technical issues
- Design, implement and manage fast-prototyping environments enabling on-the-fly integration and subsequent analysis of newly required dataset
- Support early detection of issues and fast characterization

Required Qualifications:

- College/University degree in Computer Science, Data Science or Computer Engineering
- Demonstrated ability in Database Engineering in a multinational and cutting-edge environment
- Good understanding of systems and software development lifecycle
- Master SQL, Python and Git. Scala would be an advantage
- Good knowledge of Docker, Airflow, Snowflake, Jenkins and AWS technologies would be an asset
- Collaboration, Agility, Problem solving skill and Entrepreneurship
- Strong analytical skills, with a demonstrated ability to learn on the fly
- Ability to deal with ambiguity and to make technical decisions based on experience and technical/scientific knowledge
- Expertise in developing accurate technical recommendations, alternatives, and improvements
- Proficiency in English, both oral and written