Data Engineer (2 Years Fixed Term Contract)
About this role
Michelin, the Worldwide leader in Tires, is hiring!
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MISSION
Working within the framework of the I4.0 transformation program at the site or activity level and applying advanced knowledge and experience in the fields of Digital, IS/IT and data, the Site Data Manager supports the Site I4.0 Manager in promoting the transformation, deployment and adoption of I4.0 on her/his Site.
The Site Data Manager is responsible for the implementation and management of the Factory Data Lake solution in his/her factory.
The guaranty of data quality with a special attention to exposed data in cooperate data lake (CDL).
The support of Site Data Analyst and Site Data Engineer and the animation of the network of data administrators.
Key user of an IS or Digital application, providing functional expertise to users by delivering support and training.
She/he contributes to application evolution and ensures compliance with security rules.
KEY EXPECTED ACHIEVEMENTS
Data accessibility
Implement the Data Lake/Data Store in line with central specifications.
Manage access to D2/D3 data in the Data Lake with support from RGQA.
Serve as the single point of contact (SPOC) for all questions about data produced by the plant.
Deploy standard machine templates in the PI System in alignment with the Data Strategy roadmap.
Data governance/Data quality
Apply data governance rules within the local context.
Ensure the quality of data stored in the site Data Lake and transferred to the Corporate Data Lake (CDL).
Validate the quality of legacy-system data before transferring it to the Corporate Data Lake.
Identify and correct data-quality issues, including inaccuracies, incompleteness, obsolescence, and inconsistencies.
Identify and analyze the root causes of data-quality issues and implement corrective action plans.
Drive the data improvement plan and monitor data quality performance.
Continuously improve data-quality controls.
IS Security / Incident Management
Ensure compliance with information security requirements, including user awareness, proper system use, FGSR standards, and access-right monitoring.
Provide functional support during incident and post-incident analysis, contributing to root-cause analysis and resolution methods such as Boucle Courte and BibSolve.
Ensure escalation processes are followed effectively, with support from Information Managers when required.
User support & training
Train new users and trainers, maintain up-to-date support documentation, and provide effective day-to-day L2 support.
Communicate application changes, validate updates after implementation, and define fallback procedures for periods of application unavailability.
Collect feedback to improve applications and training, communicate enhancement needs to central teams and Information Managers, and test and validate changes affecting the shop floor.
Networking & collaboration
Co-lead the data administrator network, including RULs and other stakeholders, with the Site Information Manager and formalize best practices.
Actively participate in and contribute to the Data Manager network led by the ULD Data Manager.
Support the deployment of use cases and digital products. '
EXTERNAL CANDIDATE PROFILE
- Bachelor's Degree in Computer Science, Data Science, Information Systems, Software Engineering or an equivalent qualification.
- Minimum 3 years of relevant experience.
- Data platforms and architecture: Knowledge of data lakes, data stores, relational databases.
- SQL and data handling: Ability to query, join, aggregate, validate, and troubleshoot structured data using SQL; familiarity with CSV, JSON, and other common data formats.
- Basic data engineering: Knowledge on Data pipelines, Databricks, Asure platforms.
- Programming and automation: Basic ability to read or develop data-processing scripts using Python.
- Cloud and analytics platforms: Foundational knowledge of cloud services, Power BI, and advanced analytics platforms.
- Data governance and quality: Define and monitor data-quality rules for accuracy, completeness, consistency, timeliness, and uniqueness.
- Operational support: Ability to investigate data and application issues, perform root-cause analysis, document corrective actions, and coordinate effectively with Data Engineers, Data Analysts, IS/IT, cybersecurity, and business teams.
- Business and communication skills: Ability to translate business needs into clear data requirements, document processes and standards, train users, and communicate technical topics to non-technical stakeholders.
- Mindset: Strong commitment to lifelong learning, problem-solving, customer focus, collaboration, change facilitation, and continuous improvement.
- Motivation: Passion for innovation, digitalization, sustainable manufacturing, and value creation through trusted data.
Michelin is an equal employment opportunity employer of visible minorities, women, Indigenous persons and people with disabilities. If you need accommodation for any part of the employment application process because of a disability, please contact us at accommodations@michelin.com
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