{"id":3851841,"url":"https://alion.io/job/emerson-senior-mes-data-engineer-smart-factory","title":"Senior MES Data Engineer (Smart Factory)","company":{"id":179425,"name":"Emerson","domain":"emerson.com","url":"https://alion.io/company/emerson","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Oracle","truth_index":{"grade":"A","score":92,"open_postings":157,"ghost_share":0.019,"stale_share":0.446,"repost_share":0.045,"time_to_fill_p50_days":4,"computed_at":"2026-11-09T06:03:00Z"}},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["George Town, Malaysia"],"countries":["MY"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"CI/CD","optional":false},{"name":"SQL","optional":false},{"name":"Agile","optional":true},{"name":"ETL/ELT","optional":true},{"name":"ITIL","optional":true},{"name":"PowerShell","optional":true},{"name":"Python","optional":true},{"name":"Scrum","optional":true},{"name":"Spark","optional":true}],"status":"live","first_seen_at":"2026-11-06T00:43:02Z","employer_posted_date":"2026-11-06","last_verified_at":"2026-11-10T04:22:37Z","board_verified":true,"closed_at":null,"days_open":4,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":4},"description":"Position Summary\nThe MES Data Engineer plays a critical role in advancing Emerson's Smart Factory and Digital Manufacturing strategy by developing the connected data ecosystem that transforms manufacturing events into trusted, actionable business insights. This role serves as a technical expert in manufacturing data engineering, enabling the seamless integration of Manufacturing Execution Systems (MES), enterprise applications, industrial equipment, and analytics platforms through scalable, reliable, and secure data solutions.\nWorking closely with global manufacturing sites, IT, engineering, quality, and external technology partners, the MES Data Engineer ensures the availability, integrity, and accessibility of manufacturing data that supports production traceability, operational excellence, performance optimization, predictive analytics, and future AI-enabled capabilities.\nAs a key contributor within a global matrix organization, this role drives data innovation, influences technical solution design, and delivers data capabilities that directly improve manufacturing performance, customer satisfaction, and business growth.\nIn This Role, Your Responsibilities Will Be:\nData Engineering & Integration\nDesign, develop, test, deploy, and support batch and near real-time data pipelines integrating DELMIA Apriso, ERP, warehouse, quality, test, automation, equipment, and enterprise systems.\nDevelop and maintain scalable manufacturing data models that support production execution, traceability, material movement, quality management, equipment performance, labor tracking, scheduling, downtime analysis, and operational reporting.\nTranslate manufacturing and analytics requirements into efficient data ingestion, transformation, storage, and consumption solutions using SQL, APIs, event-driven architectures, middleware, and enterprise integration technologies.\nDefine and maintain interface specifications, data mappings, lineage documentation, and reconciliation processes across MES and connected business systems.\nData Quality, Reliability & Support\nImplement data quality frameworks, monitoring, validation, reconciliation, alerting, and recovery processes to ensure data accuracy, completeness, timeliness, and traceability.\nAnalyze and resolve complex integration, data, and system issues through structured root-cause analysis and corrective actions.\nSupport manufacturing operations by troubleshooting data pipelines, interfaces, and integration services to maintain system reliability and performance.\nSolution Delivery & Governance\nLead technical activities related to solution development, integration testing, deployment, cutover planning, and post-implementation support.\nApply software engineering best practices including version control, code reviews, automated testing, CI/CD, release management, and change control.\nEnsure compliance with enterprise standards for security, access management, data governance, retention, and regulatory requirements.\nStakeholder Collaboration\nPartner with manufacturing sites, analytics teams, IT organizations, engineering teams, implementation partners, and software vendors to deliver business-driven data solutions.\nCollaborate effectively across global teams and time zones to support deployments, issue resolution, and continuous improvement initiatives.\nDocumentation & Knowledge Sharing\nMaintain architecture diagrams, data models, interface documentation, lineage records, operational procedures, and support playbooks.\nShare technical expertise and provide guidance on data integration, manufacturing data management, and data quality best practices.\nWho You Are\nYou build partnerships and work collaboratively with others to achieve shared objectives. You readily learn through experimentation and apply lessons learned to improve outcomes. You anticipate future possibilities and translate them into practical solutions that create value. You effectively analyze complex situations, make sound decisions with available information, and drive results through a structured and disciplined approach.\nFor This Role, You Will Need:\nBachelor's degree in Engineering, Computer Science, Information Systems, Data Engineering, Software Engineering, Automation, Manufacturing Technology, or a related technical discipline.\n5+ years of experience in data engineering, manufacturing systems, MES/MOM environments, systems integration, industrial software, manufacturing IT/OT, or digital manufacturing.\nExperience designing, developing, implementing, and supporting enterprise data solutions and system integrations.\nStrong understanding of manufacturing data domains including production, quality, traceability, equipment connectivity, and operational reporting.\nSolid knowledge of SQL, relational databases, APIs, integration frameworks, and end-to-end data architectures.\nExperience translating business requirements into scalable technical solutions and supporting testing, deployment, and operational support activities.\nStrong analytical, troubleshooting, and root-cause problem-solving capabilities.\nExcellent communication and collaboration skills with the ability to work effectively across global and cross-functional teams.\nAbility to work independently while influencing solution decisions through technical expertise.\nPreferred Qualifications That Set You Apart:\nExperience with MES/MOM platforms, manufacturing data solutions, or industrial data ecosystems; DELMIA Apriso experience is highly preferred.\nExperience building and supporting data pipelines, APIs, middleware solutions, ETL/ELT processes, and event-driven integrations.\nWorking knowledge of Python, PowerShell, Spark, or related technologies used for data engineering and automation.\nExperience with database design, data modeling, data quality frameworks, monitoring solutions, and version control tools.\nFamiliarity with Agile, Scrum, DevOps, ITIL, Lean, Six Sigma, or structured problem-solving methodologies.\nKnowledge of cybersecurity, data governance, and secure data management practices within manufacturing environments.\nExperience supporting multi-site manufacturing deployments, system validation, cutover activities, and post-go-live support.\nExperience collaborating with global manufacturing organizations, implementation partners, and software vendors across multiple regions and time zones.\nOur Culture and Commitment To You\nAt Emerson, you will have the opportunity to make a meaningful impact by contributing to the future of smart manufacturing and digital transformation. We are committed to creating an inclusive environment where every employee is valued for their unique experiences, perspectives, and contributions.\nWe invest in the growth and development of our people through continuous learning opportunities, challenging assignments, and career development programs. Our competitive compensation and benefits programs are designed to support your well-being, while our flexible work arrangements help promote a healthy work-life balance.\nAs a global leader in automation technology and software, Emerson fosters a culture of collaboration, innovation, and continuous improvement. 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