Experteer Overview In this role you will contribute to data ingestion and the development of data products on ODE, while operating and refining data pipelines on Google Cloud. You’ll work with cross-functional tech teams to deploy infrastructure, orchestrate data processing, and implement AI solutions using Vertex AI. The role emphasizes secure, compliant data management and multi-environment deployments, leveraging Terraform, Airflow, and Python to deliver scalable data workloads. This is an opportunity to grow hands-on in a cloud-first data engineering environment that values practical impact and collaboration.Compensaciones / Incentivos
- Data ingest and development of data products on ODE
- Operate and monitor data products on ODE
- Infrastructure deployment and management on Google Cloud Platform (GCP)
- Data processing and transformation with Hadoop/Hive and PySpark
- Job orchestration with Apache Airflow
- Manage GCP services via Terraform (GKE, Cloud Run, BigQuery, Compute Engine, Composer)




- Develop and implement Python applications for GCP services
- CI/CD integration with GitLab Magenta pipelines
- Security, IAM, and Secret Manager management; enforce identity-aware policies
- Data source integration (CDI, Datendrehscheibe FTP, TARDIS APIs, GCS)
- Multi-environment deployment across DEV/TEST/PROD environments
- AI solutions development and deployment with Vertex AIResponsabilidades
- GCP Cloud Architect or Data Engineer certification
- familiarity with GCP services and Terraform
- experience with Apache Airflow and PySpark
- knowledge of Hadoop Hive for data querying
- Python development for GCP services
- experience with GitLab Magenta CI/CD pipelines
- security and IAM/Secret Manager awareness
- data integration experience (FTP, APIs, GCS)
- ability to deploy across DEV/TEST/PROD environmentsRequisitos principales
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