2 months ago
Cluj-Napoca, Romania or Timişoara, RomaniaMid Level
Responsibilities
- Design, develop, and maintain scalable ETL/ELT pipelines for industrial and operational data.
- Build data pipelines and platforms using Python and modern data engineering frameworks.
- Integrate legacy asset management systems, IoT data, industrial time-series data, and technical documentation.
- Implement cloud data solutions and architectures for ingestion, processing, storage, orchestration, analytics, and industrial AI applications.
- Implement data governance practices covering metadata management, data quality, lineage tracking, and data catalogs.
- Prepare curated datasets, data models, and reporting datasets for predictive maintenance, digital twins, engineering analytics, machine learning, and business users.
- Support dashboards and data-driven insights using Power BI.
- Collaborate with data scientists, engineers, domain experts, and AI teams.
Requirements
- Experience in data engineering and data platform development.
- Strong Python programming skills and experience building ETL/ELT pipelines.
- Knowledge of AWS and/or Google Cloud Platform and experience with structured, semi-structured, and time-series data.
- Familiarity with data modeling and data warehousing concepts.
- Understanding of data governance, metadata management, data quality, and data catalog solutions.
- Experience preparing datasets for analytics and machine learning use cases.
- Knowledge of Power BI for data presentation and dashboarding.
- Ability to work with complex, heterogeneous, and legacy data sources and collaborate across technical and domain teams.
- Industrial data experience in manufacturing, asset management, IoT, or predictive maintenance is preferred.
- Familiarity with digital twins, industrial AI, machine learning, or generative AI workflows is preferred.
- Collibra knowledge is a plus.
Benefits
- Comprehensive health insurance coverage and support for mental health and physical wellness.
- Inclusive work arrangements, flexible benefits, and additional financial support.
- Learning and development opportunities and performance-based rewards.
- Resources and support for diverse family and personal circumstances.
Tech Stack
Categories
Data Engineering
About Accenture
Accenture is a global professional services firm providing management consulting, systems integration and technology, cybersecurity, and business process outsourcing for enterprises and governments. It operates a services-driven model delivering projects and managed services, often with major cloud and software partners, across industries worldwide. Headquartered in Dublin and publicly traded on the NYSE (ACN), it originated as Andersen Consulting and adopted the Accenture name in 2001.