As a Sr Engineer – Quality Operations Data Integration you’ll drive Quality Data Integration projects/activities and develop appropriate strategies to introduce new technologies related to Global Data Warehouses, in order to meet Quality business needs.
PMI Quality Operations is using vast amount of transactional systems to ensure and measure product quality, should it be from production floor or from laboratories. All of them are offering access to data and your activities will reinforce data availability, accessibility and integrity and ensure exploitability of data of interest. You will coach internal stakeholders enabling them to understand the relationship between their functional requirements and the data integration requirements. You will support and participate in Process Integration projects.


- Model/map and lead activities related to the integration of Quality data across various sources into an organized and unified view in collaboration with IT
- Design, implement and manage the process to maintain Data Flow ensuring alignment with company standards and environment
- Proactively monitor data accuracy and resolve data issues post integration activities
- Analyze & translate data requirements, identify potential commonalities, coordinate corresponding changes in data warehouses and prioritize them
- Closely collaborate with IT developers to make sure that data retrieval meets business and reporting requirements
- Identify, design, and implement internal process improvements, automating manual activities and optimizing data delivery for scalability
- Lead the exploitability of the datasets related to Quality Operations
- Ensure that data is harmonized, grouped & aggregated to cover any specific reporting and analytics needs
- Monitor and challenge data quality and identify inefficiencies in data warehouses aiming to leaner solutions
- Assist stakeholders with data-related technical issues and support their data infrastructure needs
- Implement adequate processes to ensure the preservation of information of a confidential nature

Required Qualifications:

- College/University degree in Computer Science, Data Science or Computer Engineering
- Demonstrated ability in Business Intelligence or Data Science involving structuring of sophisticated data & datasets
- Master SQL language. Python and Git would be an advantage
- Collaboration, Agility, Problem solving skill and Entrepreneurship
- Customer at the core orientation
- Strong analytical skills, with a demonstrated ability to learn on the fly
- Project Management, ideally with previous SCRUM Agile experience
- Great attention to detail and natural willingness to challenge the status-quo
- Ability to deal with ambiguity
- Proficiency in English, both oral and written