Lead Data Engineer H/F

We are looking for a highly qualified Lead Data Engineer to contribute to the evolution of our data infrastructure for the launch of a new product, working closely with cross-functional teams to use data to improve internal processes and product features.

Requirements

• Design, build, and maintain an evolving and high-performance data infrastructure to meet business needs.
• Define and implement best practices for data architecture, storage, and processing pipelines.
• Optimize data ingestion, transformation, and activation to ensure efficiency and scalability.
• Direct the development of ETL workflows using tools like Airflow, dbt, Apache Spark, or KaWa.
• Implement and manage batch and real-time data processing pipelines.
• Improve data reliability, quality, and accessibility through robust monitoring and logging.
• Develop and enforce data governance policies, ensuring compliance with security and confidentiality standards (GDPR).
• Use cloud services for evolving data processing and storage.
• Optimize infrastructure costs while maintaining high availability and performance.
• Research and implement emerging technologies to improve data processing and analysis capabilities.
• Define team objectives, roadmaps, and delivery timelines in collaboration with stakeholders.
• Encourage ongoing workflow improvements, automation, and documentation.

Benefits

• Career growth opportunities
• Competitive salary and benefits
• Opportunity to work with a innovative company