Lead Data Engineer

Qodea, Europe's leading Google Cloud consultancy, is seeking a Lead Data Engineer to join their innovative team. This role combines technical leadership with team management, requiring expertise in cloud data engineering and people management. The position involves leading enterprise-level data architecture projects using Google Cloud solutions, with a focus on delivering exceptional results for clients.

The role demands a hybrid working model with 60% on-site presence, either at company offices or client locations. You'll be responsible for leading a team of data engineers and scientists, ensuring their growth and development while maintaining high performance standards. Technical responsibilities include designing and implementing scalable big data architecture solutions, establishing best practices for Google Cloud technologies, and driving platform modernization initiatives.

Key technical requirements include extensive experience with Python, Scala/Java, and Google Cloud Platform services like BigQuery, Cloud Run, and Vertex AI. The ideal candidate should have a strong background in big data processing tools and experience with Terraform. Leadership capabilities are equally important, as you'll be managing team development, conducting one-on-ones, and serving as the primary point of escalation for client issues.

Qodea offers an impressive benefits package including competitive salary, pension matching, private medical insurance, and generous leave policies. The company strongly values professional development, offering paid learning days and industry certifications. This role presents an excellent opportunity for experienced data engineers looking to advance their careers in a dynamic, client-facing environment while leading and mentoring others.