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Data Engineer - Industrial Data & AI Platforms

Software Product & Platform Engineering Team Lead/Consultant | Mid-Level | Full time
Job No. R00307507 | Multiple Locations
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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-edge technology, 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'll also have access to resources for mental health and physical wellness, ensuring inclusivity and support. We provide additional financial 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. 

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We work with one shared purpose: to deliver on the promise of technology and human ingenuity. Every day, more than 775,000 of us help our stakeholders continuously reinvent. Together, we drive positive change and deliver value to our clients, partners, shareholders, communities, and each other.

We believe that delivering value requires innovation, and innovation thrives in an inclusive and diverse environment. We actively foster a workplace free from bias, where everyone feels a sense of belonging and is respected and empowered to do their best work.

At Accenture, we see well-being holistically, supporting our people’s physical, mental, and financial health. We also provide opportunities to keep skills relevant through certifications, learning, and diverse work experiences. We’re proud to be consistently recognized as one of the World’s Best Workplaces™.

Join Accenture to work at the heart of change. Visit us at www.accenture.com.

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