About the role
We are looking for a hands-on Senior GCP Data Engineer to design and deliver scalable data, AI, and Conversational AI solutions on Google Cloud. The ideal candidate will have strong expertise in real- time streaming, Gemini Enterprise, CCAI, and modern data platforms.
Responsibilities:
- Build and optimise real-time data pipelines using Pub/Sub, Dataflow, and Cloud Functions.
- Design and manage data platforms leveraging BigQuery, BigTable, and Firestore.
- Integrate Gemini Enterprise Agents using RAG and enterprise knowledge bases.
- Deploy and support Google CCAI/CCAIP and Dialogflow CX solutions.
- Develop infrastructure using Terraform and implement secure GCP IAM controls.
- Design scalable architectures, mentor team members, and engage with stakeholders.
- Implement PII masking/redaction workflows to ensure compliance and data privacy.
Requirements:
- Active Google Professional Data Engineer Certification (Mandatory).
- 3+ years of hands-on experience with BigQuery, BigTable, Firestore, Pub/Sub, Dataflow, and Cloud Functions.
- Experience with Gemini Enterprise, LLM orchestration, and RAG.
- Experience implementing CCAI/CCAIP and Dialogflow CX solutions.
- Strong expertise in Terraform and GCP IAM.
- Proficiency in Python, Java, or Go.
Nice to Have:
- Experience with Apigee, REST APIs, Webhooks, SIP/SIPREC.
- Knowledge of telecom or contact centre platforms.
- A technically strong, hands-on engineer who can lead architecture discussions, mentor teams, and deliver secure, scalable cloud and AI solutions.