{"id":166811,"url":"https://alion.io/job/michelin-site-data-manager-2-years-fixed-term-contract","title":"Data Engineer (2 Years Fixed Term Contract)","company":{"id":8665,"name":"Michelin","domain":"michelin.com","url":"https://alion.io/company/michelin","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":79,"open_postings":155,"ghost_share":0,"stale_share":0.852,"repost_share":0,"time_to_fill_p50_days":27,"computed_at":"2026-10-19T05:45:15Z"}},"role":"Data Science","role_family":"Data Science","seniority":"middle","employment_type":"contractor","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Ja Ela, Sri Lanka"],"countries":["LK"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":24000,"max_usd":66000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":865},"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Databricks","optional":false},{"name":"Incident Management","optional":false},{"name":"Power BI","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-08-28T00:00:00Z","employer_posted_date":"2026-10-03","last_verified_at":"2026-10-19T11:35:40Z","board_verified":true,"closed_at":null,"days_open":52,"trust":{"level":"ok","repost_count":1,"flags":[],"days_open":52},"description":"Data Engineer (2 Years Fixed Term Contract)Michelin, the Worldwide leader in Tires, is hiring!\n--------------------------\nMISSION\nWorking 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.\n\nThe Site Data Manager is responsible forthe implementation and management of the Factory Data Lake solution in his/her factory.\n\nThe guaranty of data quality with a specialattention to exposed data in cooperate data lake (CDL).\n\nThe support of Site Data Analyst and Site Data Engineer and the animation of the network of data administrators.\n\nKey user of an IS or Digital application, providing functional expertiseto users by delivering support and training.\n\nShe/he contributes to application evolution and ensures compliance with security rules.\n\nKEY EXPECTED ACHIEVEMENTS\nData accessibility\nImplement the Data Lake/Data Store in line with central specifications.\n\nManage access to D2/D3 data in the DataLake with support from RGQA.\n\nServe as the single point of contact (SPOC) for all questions about data produced by the plant.\n\nDeploy standard machine templates in the PI System in alignment with the Data Strategy roadmap.\n\nData governance/Data quality\nApply data governance rules within the local context.\n\nEnsure the quality of data stored in the site Data Lake and transferred to the Corporate Data Lake (CDL).\n\nValidate the quality of legacy-system data before transferring it to the Corporate Data Lake.\n\nIdentify and correct data-quality issues, including inaccuracies, incompleteness, obsolescence, and inconsistencies.\n\nIdentify and analyze the root causes of data-quality issues and implement corrective action plans.\n\nDrive the dataimprovement planand monitordata quality performance.\n\nContinuously improve data-qualitycontrols.\n\nIS Security/ Incident Management\nEnsure compliance with information security requirements, including user awareness, proper system use, FGSR standards, and access-right monitoring.\n\nProvide functional support during incident and post-incident analysis, contributing to root-cause analysis and resolution methods such as Boucle Courte and BibSolve.\n\nEnsure escalation processes are followed effectively, with support from Information Managers when required.\n\nUser support & training\nTrain new usersand trainers, maintainup-to-date support documentation, and provide effective day-to-day L2support.\n\nCommunicate application changes, validate updates after implementation, and define fallback procedures for periods of application unavailability.\n\nCollect feedback to improve applications and training, communicate enhancement needs to central teams and Information Managers, and test and validatechanges affecting the shop floor.\n\nNetworking & collaboration\nCo-lead the data administrator network, including RULs and other stakeholders, with the Site Information Manager and formalize best practices.\n\nActively participatein and contribute to the Data Manager network led by the ULD Data Manager.\n\nSupport the deployment of use cases and digital products.'\n\nEXTERNAL CANDIDATE PROFILE\nBachelor's Degree in Computer Science, Data Science, Information Systems, Software Engineering or an equivalent qualification.\nMinimum 3 years of relevant experience.\nData platforms and architecture: Knowledge of data lakes, data stores, relational databases.\nSQL and data handling: Ability to query, join, aggregate, validate, and troubleshoot structured data using SQL; familiarity with CSV, JSON, and other common data formats.\nBasic data engineering: Knowledge onData pipelines,Databricks, Asure platforms. \nProgramming and automation: Basic ability to read or develop data-processing scripts using Python.\nCloud and analytics platforms: Foundational knowledge of cloud services, Power BI, and advanced analytics platforms.\nData governance and quality: Define and monitor data-quality rules for accuracy, completeness, consistency, timeliness, and uniqueness.\nOperational 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.\nBusiness 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.\nMindset: Strong commitment to lifelong learning, problem-solving, customer focus, collaboration, change facilitation, and continuous improvement.\nMotivation: Passion for innovation, digitalization, sustainable manufacturing, and value creation through trusted data.\nMichelin is an equal employment opportunity employer of visible minorities, women, Indigenous persons and people with disabilities. 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