As an Engineer – Product Data Integration you’ll be responsible to provide database solution, technical design and support for carrying out the implementation of enterprise database development. You’ll also work on data-related projects and introduce new methodologies in order to meet business needs. Apart from these, you’ll prepare and assemble data into uniform sets ready to be used for standardized reporting as well as ad-hoc analysis. You will ensure exploitability of data of interest and coach internal stakeholders enabling them to understand the relationship between their functional requirements and the data integration requirements.


- 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
- 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

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