Role :
Automation/Digitalization Engineer (MES
IT/OT)
Location: Houston, TX (Day 1 Onsite)
As a Automation/Digitalization Engineer, you create chemistry by:
Acting as the local contact for automation and digitization (A D), overseeing the control, execution, and coordination of area-specific projects in collaboration with the EVR digitization team.
Serving as the interface to specialist departments, initiating and shaping new automation and digitization projects and initiatives.
Collaborating with application developers to integrate database solutions into software applications such as MES, ensuring seamless data flow and access.
Monitoring and optimizing database performance, troubleshooting and resolving database-related issues, and conducting regular health checks and performance tuning.
Ensuring data security and integrity by implementing and maintaining appropriate access controls and backup strategies.
Analyzing and modeling data requirements, translating business needs into technical specifications and database structures.
Managing and configuring digital application use cases, including creating customized dashboards and reports.
Coordinating external service providers and supporting the digital roadmap and implementation of projects.
Skills Required:
Hold a Bachelor s degree in Automation Technology, Computer Science, Information Technology, Engineering, or a related field.
Have experience as an Automation Engineer, Database Developer, Database Architect, or similar role.
Have familiarity with programming languages such as Python or C# (preferred).
Understand database security, backup, and recovery strategies.
Demonstrate strong problem-solving skills and the ability to work collaboratively within a team.
Possess strong communication skills, with the ability to explain technical concepts to non-technical stakeholders.
Have a basic understanding of digitization and a strong affinity for OT/IT, along with experience in low-code programming.
Demonstrate strong analytical thinking and a goal- and results-oriented work style, with experience in database systems (e.g., Oracle, SQL Server) and SQL/data modeling preferred.