My client, a rapidly growing global travel tech company, is seeking a Senior Data Engineering Manager to lead their Data Engineering team within the Business Intelligence department. With a diverse team of 500+ professionals from 60+ nations, they serve over 20k hosts and 100 million website users annually.
Tasks:
- Lead and develop a high-performing cross-functional Data Engineering team
- Create, maintain, and refine core data pipeline tools, including Data Warehouse and Data Lake
- Implement a DataMesh-based approach for data-driven applications
- Drive strategic technology decisions and manage cloud budget
- Collaborate with C-suite executives, product leaders, and external partners
- Mentor engineers and participate in hiring processes
- Oversee tech stack including:
- Java/Kotlin microservices on AWS-hosted Kubernetes (EKS)
- Airflow, dbt-core, Redshift, Athena, and DuckDB for data pipelines
- Serverless Framework with Python for data lake interactions
- Terraform, Docker, Jenkins for DevOps
- ELK, Grafana, Looker for monitoring
Your Profile:
- Bachelor's degree in Computer Science or equivalent experience
- Proven experience with Lakehouse architectures in AWS or similar setups
- Strong technical leadership and people management skills
- Experience with Java, Kubernetes, Airflow, Redshift, and serverless architectures
- Dedication to code and data reliability and quality
Benefits:
- Opportunity to impact millions of users monthly
- Personal development budget and additional days for professional growth
- Flexible work arrangements, including inter-office travel options
- 28 vacation days plus 10 optional unpaid days
- Up to 8 weeks working from any of the office locations
- Inclusive, diverse work environment
- Competitive salary of 130k€ plus shares
Join my client in revolutionizing the travel tech industry! If you're passionate about leading innovative data engineering initiatives and driving technological advancements, we'd love to hear from you. Apply now to be part of this dynamic team in Munich.
