Data Engineer - Industrial Data & AI Platforms
Quick Summary
About us: Accenture Industry X, part of Accenture, helps businesses thrive in the digital era by combining data and digital capabilities.
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.
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
Responsibilities
~1 min readVisit us at www.accenture.com
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.
Location & Eligibility
Listing Details
- First seen
- May 20, 2026
- Last seen
- May 20, 2026
Posting Health
- Days active
- 0
- Repost count
- 0
- Trust Level
- 49%
- Scored at
- May 20, 2026
Signal breakdown
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