Data Engineer

About the role

HARMAN is looking for a Data Engineer in Budapest to act as the link between global business automotive operations and scalable data platform execution. The role focuses on turning complex operational needs into robust, reusable data pipelines that power analytics, BI and AI use cases. It is a full-stack position covering ingestion, transformation, modeling and delivery, with a hybrid mindset combining business process knowledge of manufacturing, procurement and supply chain with strong engineering discipline.

Key responsibilities

• Work with business users, analysts and developers to understand data requirements and translate them into scalable data models, pipeline logic and integration requirements.
• Design and build scalable, reusable data pipelines optimized for large-scale datasets, serving BI, AI and data products.
• Write efficient SQL queries and transformations, design data models (e.g. layered/medallion architecture) and contribute to shared, governed data products.
• Implement validation, testing and monitoring to ensure data accuracy and reliability.
• Manage deployments across Dev, QA and Production, use Git for version control, and monitor and fix pipeline failures.
• Work with the System Architect on architectural patterns and security standards, take part in peer reviews, and deliver high-quality data to downstream teams.
• Use AI-assisted tools to speed up development and automate repetitive tasks, and keep up with modern data engineering practices.

Required profile

• Bachelor's degree in Computer Science, Information Systems, Engineering, Data Analytics or a related field.
• Strong SQL and data transformation skills, experience with data pipelines and ETL/ELT frameworks.
• Understanding of data modeling and layered architectures (e.g. Medallion).
• Experience with large-scale data processing (e.g. Spark, Databricks) and cloud platforms (AWS, Azure) is a plus.
• Knowledge of APIs and data integration patterns, and familiarity with Python for data processing and automation.
• Problem-solving and performance optimization skills; Agile development experience is a bonus.

Required skills

• SQL, ETL/ELT, Git, REST APIs, JSON
• Preferred: Databricks, Spark, Delta Lake, Lakehouse concepts, Power BI, Qlik, Tableau, GitHub Copilot