Quick Summary
Design, develop, and maintain ETL/ELT pipelines using Azure Data Factory, Azure Databricks, and other Azure services. Build and evolve data architecture, including models, schemas, and dictionaries.
+2 years of experience as a Data Engineer in cloud environments. Hands-on experience with Azure Data Factory and Azure Databricks. Nice to have: Python. Advanced English level.
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We Offer
- Career development according to your profile and interests.
- Work in one of the best companies and feel proud.
- Access to an innovative methodology and tools.
- Direct contact with experts worldwide.
- Use of work schemes and cutting-edge technologies.
- Constant training.
- Work environment based on teamwork and collaboration.
- Participation in International Projects.
Responsibilities:
Build and evolve data architecture, including models, schemas, and dictionaries.
Integrate data from multiple sources, ensuring quality, consistency, and readiness for analytics and operations.
Apply data governance policies to ensure security, privacy, and compliance.
Collaborate with data scientists, analysts, and business stakeholders to translate requirements into scalable solutions.
Stay current with emerging technologies and identify opportunities to enhance data infrastructure.
Implement best practices in big data and cloud computing to ensure efficiency and scalability.
Required skills:
Nice to have: Python.
Advanced English level.
Visit us at www.accenture.com
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Location & Eligibility
Listing Details
- First seen
- September 27, 2026
- Last seen
- September 29, 2026
Posting Health
- Days active
- 2
- Repost count
- 0
- Trust Level
- 55%
- Scored at
- September 30, 2026
Signal breakdown
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