Lead Data Engineer (Google Cloud)

Job Title: Lead Data Engineer (Google Cloud) Job Type: B2B Contract Location: Hybrid in North Rhine-Westphalia Contract Length: 6 months (extendable) Lead Data Engineer (Google Cloud) - Role & Responsibilities Provide technical leadership on GCP data engineering solutions, with a focus on BigQuery, Dataproc, Cloud Composer (Airflow), and cloud-based data processing best practices.Support the migration of legacy ETL and data warehouse workloads to Google Cloud, defining orchestration, scheduling, and workflow dependencies.Develop and maintain scalable Dataproc (Spark/PySpark) pipelines to transform and process data while preserving existing business logic.Work closely with engineering and migration teams to investigate, resolve, and validate data pipeline issues throughout testing and deployment.Improve the performance, scalability, and cost efficiency of BigQuery datasets, queries, and Dataproc workloads through ongoing optimization. Lead Data Engineer (Google Cloud) - Required Experience Fluent in both German and English, with excellent communication skills in both languages.Proven hands-on experience with GCP data technologies, including BigQuery, Dataproc, Cloud Composer (Airflow), and Cloud Storage.Strong development skills in Python and/or PySpark, with experience building robust data engineering solutions.Solid understanding of Airflow workflow design, scheduling strategies, dependency management, and SQL-based data modelling.Previous experience delivering cloud data migration projects is highly desirable, with knowledge of legacy ETL platforms (e.g. Ab Initio), CI/CD tooling (Terraform, Cloud Build), or enterprise scheduling/database technologies such as UC4, Oracle, or SQL Server considered advantageous. Interviews: August 2026 Start Date: August 2026 How to Apply: Apply to Gary Hargreaves at X4 Technology to learn more about the role or connect with me on LinkedIn to hear about regular job updates available with X4 Technology