Lead Data Engineer with Google cloud GCP (m/f/d)
Core
Manage and oversee the entire data engineering process, designing and maintaining scalable data infrastructure on Google Cloud Platform (GCP) for a greenfield data platform.
Role type
Lead Data Engineer
Builds
Modern data platform and scalable data pipelines on GCP
Domain
Cloud Data Engineering / Big Data
Deliverable
production ML models | infrastructure
Required skills
Advanced SQL, Advanced Python (PySpark, Pandas, NumPy), GCP Data Services (BigQuery, Dataflow, Dataproc, Cloud Storage, Cloud SQL), ETL/ELT pipeline development, Distributed data processing (Spark), Data modeling (star/snowflake schemas), Cloud architecture design, Performance tuning, Security best practices (IAM, encryption), CI/CD workflows
Preferred skills
Team management, Project management, Agile methodology
Technologies
Google BigQuery, Google Cloud Dataflow, Google Cloud Dataproc, Google Cloud Storage, Google Cloud SQL, Spark, PySpark, Pandas, NumPy, Git
Responsibilities
Design and build scalable data pipelines using GCP services; Develop and optimize ETL/ELT workflows; Collaborate with data scientists and stakeholders to deliver reliable solutions; Implement security best practices including IAM policies and data encryption; Monitor, troubleshoot, and optimize system performance; Mentor and guide junior data engineers
Seniority
Lead, hands-on IC with team management
