Cloud Data Engineer

Job Description

We are looking for a Cloud Data Engineer to guide strategic Google Cloud customers across the entire data lifecycle: ingestion, storage, processing, analysis, and visualization. The role focuses on data migration and transformation projects: designing and implementing scalable, large-scale data processing systems and pipelines. The core requirement is proven experience migrating a large Data Warehouse (hundreds of TB) to BigQuery, ideally from Snowflake. The role is hybrid, mostly remote with travel to Germany 1–2 times per month, preferably based in Munich or Frankfurt, or anywhere in Europe, for an initial 6 months with possible extension and an immediate start.

Core Responsibilities

• Data Lifecycle Consulting: Guide strategic customers across ingestion, storage, processing, analysis, and visualization on Google Cloud.
• Data Warehouse Migration: Lead large-scale Data Warehouse migrations to BigQuery, ideally from Snowflake.
• Pipeline Engineering: Design, build, and deliver high-performance streaming and batch data pipelines.
• Data Platforms: Build and maintain secure, reliable, and scalable data lakes and data warehouses on Google Cloud Platform.
• Automation: Automate infrastructure provisioning with DevOps and CI/CD practices.
  
  

Qualifications And Experience

• Proven experience migrating a large Data Warehouse (hundreds of TB) to BigQuery; Snowflake as the source is ideal, otherwise Snowflake exposure from other projects is required.
• 5+ years designing, developing, and delivering high-performance data pipelines (streaming and batch).
• Proven experience building and maintaining secure, reliable, and scalable data lakes and data warehouses on Google Cloud Platform.
• Experience designing enterprise cloud solutions and leading customer projects to completion.
• BigQuery expertise.
• Infrastructure provisioning automation, DevOps, and CI/CD.
• Google Cloud Professional Data Engineer certification.
• Fluent English; German is strongly preferred.
  
  

Preferred Qualifications

• Fluent German.
• Technical consulting experience.
• Advanced SQL tuning for cost and performance optimization.
• Streaming pipelines with an understanding of event delivery semantics.
• Architecture and development of production-grade, internet-scale Big Data solutions on managed cloud services.
• Collaboration with data scientists, data analysts, and software engineers.
• Ab Initio experience is a plus.