{"id":968703,"url":"https://alion.io/job/accenture-data-engineer-industrial-data-ai-platforms","title":"Data Engineer - Industrial Data & AI Platforms","company":{"id":271,"name":"Accenture","domain":"accenture.com","url":"https://alion.io/company/accenture","size_band":"5000+","is_staffing_agency":false,"employer_type":"services","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"A","score":100,"open_postings":2118,"ghost_share":0.001,"stale_share":0.166,"repost_share":0.006,"time_to_fill_p50_days":5,"computed_at":"2026-11-06T05:58:05Z"}},"role":"Data Science","role_family":"Data Science","seniority":null,"employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Cluj-Napoca, Romania","Romania"],"countries":["RO"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"Collibra","optional":false},{"name":"Digital Twin","optional":false},{"name":"ETL/ELT","optional":false},{"name":"GCP","optional":false},{"name":"Machine Learning","optional":false},{"name":"Power BI","optional":false},{"name":"Python","optional":false},{"name":"Time Series","optional":false}],"status":"live","first_seen_at":"2026-09-16T16:21:43Z","employer_posted_date":"2026-09-16","last_verified_at":"2026-11-06T18:54:52Z","board_verified":true,"closed_at":null,"days_open":51,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":51},"description":"About us:\nAccenture Industry X, part of Accenture, helps businesses thrive in the digital era by combining data and digital capabilities. Join us to experience how we deliver 360 value and collaborate with exceptional people,cutting-edgetechnology, and leading companies across various industries, making a significant impact worldwide.\nRole Overview:\nWe are looking for a Data Engineer with experience in industrial data environments such as digitalization initiatives, digital twins, and predictive maintenance.\nIn this role, you will design and build scalable data pipelines and platforms that enable advanced analytics, machine learning, and AI use cases. You will work with heterogeneous industrial data sources, including technical documentation, legacy asset management systems, and industrial time-series data.\nThe position requires strong collaboration with data scientists, domain experts, and engineering teams to transform complex operational data into structured, governed, and accessible datasets that support analytics, predictive maintenance, and AI-driven insights.\nKey Focus:\nData Engineering & Platform Development:\nDesign, develop, and maintain scalable ETL/ELT pipelines for ingesting and transforming industrial and operational data\nBuild data pipelines using Python and modern data engineering frameworks\nIntegrate heterogeneous data sources, including legacy asset management systems, IoT data, industrial time-series data, and technical documentation\nSupport the development of data platforms enabling analytics, machine learning, and AI use cases\nCloud Data Infrastructure:\nImplement and manage data solutions on AWS and/or Google Cloud Platform and/or Azure \nDesign data architectures supporting large-scale analytics and industrial AI applications\nWork with cloud-native services for data ingestion, processing, storage, and orchestration\nData Governance & Data Management:\nImplement data governance practices, including metadata management, data quality, and lineage tracking\nSupport the implementation and maintenance of data catalogs and metadata management tools\nExperience with Collibra or similar data governance platforms is a strong plus\nAnalytics Enablement:\nPrepare curated datasets that support predictive maintenance, digital twin, and engineering analytics use cases\nEnable data scientists and AI teams to build machine learning and AI solutions on well-structured data\nCreate data models and reporting datasets for business users\nData Visualization & Insights:\nSupport the creation of data-driven dashboards and insights using PowerBI\nEnsure data is structured and optimized for analytics and reporting consumption\nWhat you need to succeed:\nTechnical Skills:\nExperience in data engineering and data platform development\nStrong Python programming skills\nExperience building ETL/ELT pipelines\nKnowledge of AWS and/or Google Cloud Platform (GCP)\nExperience working with structured, semi-structured, and time-series data\nFamiliarity with data modeling and data warehousing concepts\nData Governance & Data Management:\nUnderstanding of data governance, metadata management, and data quality practices\nExperience with data catalog solutions\nCollibra knowledge is a plus\nAnalytics & Visualization:\nExperience preparing datasets for analytics and machine learning use cases\nKnowledge of PowerBI for data presentation and dashboarding\nNice to Have:\nExperience working with industrial data environments (manufacturing, asset management, IoT, predictive maintenance)\nFamiliarity with digital twin or industrial AI use cases\nExposure to machine learning or generative AI workflows\nKey Competencies:\nStrong analytical thinking and problem-solving skills\nAbility to work with complex, heterogeneous, and legacy data sources\nCapability to bridge data engineering with analytics and AI use cases\nComfortable collaborating with data scientists, engineers, and domain experts\nYour life at Accenture\nAt Accenture,we prioritize your health and well-being through comprehensive health insurance coverage and inclusive work arrangements. We value your growth and offer diverse learning and development paths, along with performance-based rewards.You'llalso have access to resources for mental health and physical wellness, ensuringinclusivityand support. We provideadditionalfinancial support, flexible benefits, and care for your loved ones, respecting diverse circumstances.\nJoin us for a fulfilling career and a balanced lifestyle that celebrates diversity and promotes inclusivity.\nAbout Accenture\nAccenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services-creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world’s leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities.Visit us atwww.accenture.com\nEqual Employment Opportunity Statement\nWe believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, sexual orientation, gender identity or expression, marital status, citizenship status or any other basis as protected by applicable law. 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