IT/OT Data Engineer

About

The IT/OT team implements and enforces standards and policies as defined by the Group. The IT/OT team designs, deploys and supports regional and Business areas specific solutions and applications.

The IT/OT Data Engineer is responsible for collecting, storing and manipulating data related to the manufacturing activity.

The added value of a Data Engineer is developing, constructing, testing, and maintaining the architectures that allow a Data Scientist and Data Analyst to perform their work.

Responsibilities

• Roll out projects designed by the IT/OT team and the group (standard data collection-OPC UA, Industrie 4.0 projects)
• Connecting the shop floor
• Ensure continuous data collection to enable the move to Imerys Smart factory
• Collect & contextualize : clean and prepare raw, structured and unstructured data for analysis using OPC UA data models capabilities
• Organize comprehensive data set
• Data Architecture
• Develop, build, test and maintain architectures such as databases and large-scale processing systems
• Align architecture with business requirements
• Employ variety of languages to ensure systems communicate with each other
• Build data pipelines,Track pipeline stability, Monitor the overall performance and stability of the system
• Build algorithms and prototypes, Prepare data for predictive modeling
• Experience working with AWS services
• Conduct complex data analysis and report on results
• Collaborate with data scientists and architects on several projects
• Data optimization
• Identify opportunities for data acquisition
• Develop and implement strategies (databases, data collection systems, data analytics…) that optimize data reliability, efficiency and quality
• Escalate in case of conflicts regarding several activities inside his projects
• Take responsibility for support level 2 and 3 management
• Interact with Infrastructure teams to ensure the performance of the application portfolio
• Create Exploitation manual documentation for Industrial applications portfolio

Qualifications & Experience

Essential

• Bachelor’s or Master’s Degree in automation, Information Systems, or Engineering.
• 5 years of professional hands-on experience with application management and industrial digital platforms.
• Extensive experience implementing, migrating, managing, operating systems/applications and local industrial interfaces.
• Strong knowledge about automation solutions, IIOT.
• Strong business knowledge in an Industrial environment.
• Have a good knowledge and understanding of application architecture.
• AWS data analytics
• Machine learning
• Fluent or native English speaker.

Desirable

• Experience working on the implementation of data lake/data warehouse environments.
• Experience of working within a culturally diverse global company
• Experience in multidisciplinary team management
• Conversant in French or another European language would be advantageous
• AWS data analytics OR Machine learning certification is a plus

Soft skills and abilities

Leads self & Leads others

• Self-motivated with the ability to work independently
• Ability to listen and learn from his/her team as well as from peers of Group or Divisions but also to change the current ways of operating
• Strong influencing skills to develop an effective regional/country network and promote effective transfer of good practices

Communicates & Collaborates

• Strong verbal and written communication skills
• Interpersonal and collaborative skills
• Ability to communicate and influence effectively at all levels along the transformation journey

Delivers results

• Client service oriented
• Ability to understand business needs and provide technical guidance accordingly
• Problem solving ability with a rigorous mind-set

Drives improvement

• Keen attention to detail
• Continuous improvement mind-set.

PHYSICAL / ENVIRONMENTAL ASPECTS

• Domestic and International travel as required: Up to 25%