Senior (5-10 yrs)
Full-time
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About the role
Design, develop, and deploy high-performance data platforms and agentic solutions. Support customer projects through to completion while managing cloud enterprise infrastructure.
What they look for
BigQuery
Data Engineering
Data Ingestion
Detokenization
Airflow
Python
Looker
AlloyDB
GCS
GKE
Gemini Enterprise
Vertex AI
DevOps
MLOps
CI/CD
Data Structures
Requirements
Requires 7+ years of experience in data engineering and strong proficiency in Python and GCP technologies. Candidates must hold a Google Cloud Professional ML Engineer certification.
Full description
This is a remote position.
This is a remote position.
We are looking for GCP Data Analytics Engineer to join us. This is a hybrid role that requires periodic travel within Europe, ideally once or twice every two months.
Requirements
- 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
