Overview
dare to be a part of the challenge! Come and join our team together we can make the difference! Did you know that accenture is leading the digital transformation in the world? Accenture is a leading global professional services company, providing a broad range of services and solutions in strategy, consulting, digital, technology and operations. Our main purpose is to collaborate with our clients, so they can become high-performance businesses. Accenture is present in more than 200 offices, 120 cities, 56 countries and approximately 640,000 employees worldwide.
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.
accenture does not discriminate based on race, religion, color, sex, age, disability, nationality, sexual orientation, gender identity or expression, or for any other reason covered by local law.
responsibilities
 * 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.
 * 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
 * +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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