Senior GCP Data Engineer

Senior Google Cloud Platform (GCP) Data Engineer SOURCE Werbeartikel is one of Germany’s leading marketplaces for promotional products and corporate merchandise. With more than 30 years of successful operations, the company is a market leader in its niche and continues to invest in the development of its modern technology platform. We are looking for a Senior Google Cloud Platform (GCP) Data Engineer to help develop and scale our cloud-native data platform. Work Model Fully remote during the probation period. After successfully completing the probation period, on-site work in Wiesbaden is expected for long-term employment. The company fully covers relocation costs. Contract - permanent employment with the prompt initiation of the EU Blue Card process. About the Role The primary focus of this position is building SQL models, developing ELT pipelines, and designing data models in BigQuery. Python, Dagster, Terraform, and Google Cloud Platform are used to build integrations, automate workflows, and manage the cloud infrastructure. We are looking for a Data Engineer whose core expertise is SQL, BigQuery, data modelling, and ELT, while also having strong hands-on experience with Google Cloud Platform. The experience with another clouds in production - also works. Why This Role Is Interesting This is an opportunity to become a key engineer in a small international team where you will have real ownership and direct influence on technical decisions and platform development. There are no unnecessary management layers or product manager buffers between engineering and the business. You will work directly with business stakeholders, participate in defining requirements, and see the direct impact of your work. You will help build a centralized Master Data platform that consolidates data from approximately 100 suppliers and more than 60,000 products. All data is automatically validated by comparing the output with the existing legacy system before any changes are deployed to production. This role is ideal for engineers who enjoy owning an entire system—from data models and integrations to cloud infrastructure and ELT pipelines. If you enjoy taking end-to-end ownership, making technical decisions, and working across integration, infrastructure, and data, this role will be an excellent fit. If you prefer a narrowly defined area of responsibility, this position is unlikely to match your expectations.