Cloud Data Engineer 100 remote

• You have several years of professional experience as a data engineer or in a similar position
• You are a clean programmer with an agile mindset and love DataOps
• You preferably have solid knowledge of Google Cloud Services and Terraform
• You have experience with Python (Poetry, Pydantic, Google Python APIs, etc.)
• You are used to dealing with mass data
• You are characterized by a high level of quality awareness, trustworthiness and interest in new technologies
• You can work independently in an agile cross-functional team
• Nice to have: PySpark, SQL, Airflow, Jenkins, OpenShift, Git, Docker, Kubernetes, Java, Kafka
• TECHSTACK: Python, Google Cloud Services (BigQuery, Cloud Build, Cloud Storage, Pub/Sub, Cloud Composer, DataFlow, dbt), Terraform

For one of our international clients, we are looking for an experienced Cloud Data Engineer to join the team and be responsible for both the development and operation of cloud-based client services. ,[You are responsible for the development, but also for the operation of our services in the cloud, You analyze, understand and accompany the requirements from the idea to the end-of-life (DataOps), You contribute to the design of the solution, which includes development, testing and documentation, You carry out analyses and research to solve complex business problems, You will work as a member of your cross-functional agile team with internal stakeholders from across the organisation to develop best-in-class data products and KPIs using existing data assets] Requirements: Python, Google Cloud Services, BigQuery, Terraform, PySpark, SQL, Airflow, Jenkins, OpenShift, Git, Docker, Kubernetes Additionally: Sport subscription, Private healthcare.