Required skills
- Automatic Data Processing Equipment
- Apache Airflow
- Data Analysis
- Big Data
- Google BigQuery
- Cloud-Engineering
- Data Architecture
- Datenverarbeitungssysteme
- Google Analytics
- Data Intelligence
- Online Analytical Processing
- OpenLink Endur
- DataOps
- Azure Machine Learning
- Azure Data Lake
- Datenbank-Engines
- Datenverarbeitung
- Google Cloud
- Google Data Studio
- Apache Flink
- Datenanalytik
- AWS Data Analytics
- Machine Learning Operations
- Azure Data Analytics
- Azure Synapse Analytics
- Daten-Pipeline
- Databricks
Job description
Project overview
Role Title : Data Analytics Engineers + AI with extensive GCP
Requirements
English + (French, Spanish, or German is required)
Required Skills & Experience:
- Core Skills: BigQuery, Data Engineering, Data Ingestion, Detokenization of Data, Airflow, and Python (Looker is a nice-to-have)
- 7+ years of experience designing, developing, and deploying high-performance data platforms and Agentic solutions
- Experience designing cloud enterprise solutions and supporting customer projects through to completion
- Hands-on experience with the GCP stack: AlloyDB, GCS, GKE, Gemini Enterprise, and Agent Platform (formerly Vertex AI)
- Strong Python coding skills (including data structures, algorithms, and system/software design)
- Experience automating infrastructure provisioning, DevOps/MLOps, and CI/CD pipelines
- Google Cloud Professional ML Engineer certification
Project details
EU (flexible within the region)
- Start: ab sofort
- Remote: remote
- Location: Munich, Deutschland, DE
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