Mid Data Engineer

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August 20

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Volkswagen Group

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Transport • Automotive • Manufacturing

Volkswagen Group is a globally recognized automotive manufacturer that offers a wide range of vehicles and services through various brands. The company is dedicated to innovation in electric mobility, research and development, and production processes. With positions available around the world across numerous sectors within the automotive industry, Volkswagen Group focuses on providing exceptional career opportunities in a dynamic work environment.

10,000+ employees

🚗 Transport

📋 Description

• Our start-up environment is collaborative, innovative, and open to new ideas. • Develop and maintain comprehensive data architecture frameworks, including data models, data integration, and data management practices. • Design and implement data storage solutions (e.g., databases, data warehouses, data lakes) that align with business requirements. • Ensure data quality, governance, and security standards are met across all data solutions. • Collaborate with cross-functional teams to understand business needs and translate them into technical specifications. • Evaluate and integrate new data technologies and tools, ensuring they align with the overall data strategy. • Provide technical leadership in data architecture, guiding the development and implementation of data solutions.

🎯 Requirements

• Experience: 7+ years of experience in data architecture, data engineering, or a related field. • Education: Bachelor's or Master's degree in Computer Science, Information Technology, or a related discipline. • Technical Skills: Proficiency in data modeling, database design, and data warehousing concepts. • Strong knowledge of SQL, NoSQL databases, and big data technologies (e.g., Flink, Spark). • Tools: Experience with cloud platforms (AWS, Azure, or Google Cloud), data modelling, and data governance frameworks. • Soft Skills: Strong analytical and problem-solving abilities, excellent communication and collaboration skills, and a strategic mindset. • Bonus Points: Experience with DBT, Dagster, Data Vault modelling, machine learning frameworks, real-time data processing, or data visualization tools.

🏖️ Benefits

• Fully remote work capability, with an option to work from our office when needed. • Access to professional development tools and free language courses. • Flexible working hours to accommodate personal and professional needs. • A competitive holiday package and access to a variety of employee discounts.