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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