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Location
Hybrid (Cluj-Napoca, Romania)
Employment
Full-Time

Confirmed on the employer's own hiring board on Nov 5, 2026. First seen by Alion on Sep 16, 2026. Accenture scores A on the Alion truth index.

Overview
Company
Impact
Profile match
Accenture is a professional services company that began as the consulting arm of the accounting firm Arthur Andersen, separated as Andersen Consulting in 1989 and took its present name in 2001. It is one of the largest technology services organisations in the world, employing well over seven hundred thousand people and running strategy, consulting, technology, operations and industry work for most of the Fortune Global 500. Incorporated in Dublin and built on a delivery network concentrated in India and the Philippines, it has reoriented around cloud migration, cybersecurity and generative AI, which it now books as a distinct multi-billion dollar revenue line.

About us:

Accenture 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.

Role Overview:

We are looking for a Data Engineer with experience in industrial data environments such as digitalization initiatives, digital twins, and predictive maintenance.

In 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.

The 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.

Key Focus:

Data Engineering & Platform Development:

  • Design, develop, and maintain scalable ETL/ELT pipelines for ingesting and transforming industrial and operational data
  • Build data pipelines using Python and modern data engineering frameworks
  • Integrate heterogeneous data sources, including legacy asset management systems, IoT data, industrial time-series data, and technical documentation
  • Support the development of data platforms enabling analytics, machine learning, and AI use cases

Cloud Data Infrastructure:

  • Implement and manage data solutions on AWS and/or Google Cloud Platform and/or Azure
  • Design data architectures supporting large-scale analytics and industrial AI applications
  • Work with cloud-native services for data ingestion, processing, storage, and orchestration

Data Governance & Data Management:

  • Implement data governance practices, including metadata management, data quality, and lineage tracking
  • Support the implementation and maintenance of data catalogs and metadata management tools
  • Experience with Collibra or similar data governance platforms is a strong plus

Analytics Enablement:

  • Prepare curated datasets that support predictive maintenance, digital twin, and engineering analytics use cases
  • Enable data scientists and AI teams to build machine learning and AI solutions on well-structured data
  • Create data models and reporting datasets for business users

Data Visualization & Insights:

  • Support the creation of data-driven dashboards and insights using PowerBI
  • Ensure data is structured and optimized for analytics and reporting consumption

What you need to succeed:

Technical Skills:

  • Experience in data engineering and data platform development
  • Strong Python programming skills
  • Experience building ETL/ELT pipelines
  • Knowledge of AWS and/or Google Cloud Platform (GCP)
  • Experience working with structured, semi-structured, and time-series data
  • Familiarity with data modeling and data warehousing concepts

Data Governance & Data Management:

  • Understanding of data governance, metadata management, and data quality practices
  • Experience with data catalog solutions
  • Collibra knowledge is a plus

Analytics & Visualization:

  • Experience preparing datasets for analytics and machine learning use cases
  • Knowledge of PowerBI for data presentation and dashboarding

Nice to Have:

  • Experience working with industrial data environments (manufacturing, asset management, IoT, predictive maintenance)
  • Familiarity with digital twin or industrial AI use cases
  • Exposure to machine learning or generative AI workflows

Key Competencies:

  • Strong analytical thinking and problem-solving skills
  • Ability to work with complex, heterogeneous, and legacy data sources
  • Capability to bridge data engineering with analytics and AI use cases
  • Comfortable collaborating with data scientists, engineers, and domain experts

Your life at Accenture

At 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.

Join us for a fulfilling career and a balanced lifestyle that celebrates diversity and promotes inclusivity.

About Accenture

Accenture 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

Equal Employment Opportunity Statement

We 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. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities.

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