Deutsche Bank Group
GCPData&AIEngineer,AS
Neural analysis suggests this role is
optimal for Mid candidates.
“GCP Data & AI Engineer, AS at Deutsche Bank Group. Skills: GCP, Data Engineering, AI, Python, SQL, BigQuery, Cloud Composer, Terraform, Vertex AI, RAG pipelines, Agentic workflows. Design, develop, and maintain scalable data pipelines using Python, SQL, and core GCP services. Develop and optimize complex SQL queries for data analysis, extraction, and transformation in BigQuery”
Industry & Context.
Troubleshoot data and AI pipelines; Resolving L3 support issues
What They're Looking For.
Must Have
6-10 years of IT experience as a hands-on technologist, Proficient in Python, Advanced SQL, Hands-on experience with GCP (Google Cloud Platform), Proven expertise with Big Query, Proven expertise with Cloud Composer (or Apache Airflow), Proven expertise with Cloud Run, Proficient in Terraform, Experienced in building CI/CD pipelines using GitHub Actions
Nice to Have
Experience with Azure or AWS is also valuable, Hands-on experience with the Vertex AI platform (using its Model Garden, training custom models, or deploying endpoints), Practical experience building and deploying RAG (Retrieval-Augmented Generation) pipelines, Understanding of LLMs (like Gemini) and embedding models is crucial, Familiarity with designing or building agentic workflows and multi-agent systems, Awareness of emerging frameworks like the Google ADK, Experience with Dataflow, Experience with Cloud Functions, Knowledge of Google Kubernetes Engine (GKE) is a plus, Experience with Apigee
What You'll Do.
and maintain scalable data pipelines using Python
and core GCP services
Develop and optimize complex SQL queries for data analysis
and transformation in BigQuery
Manage and orchestrate batch data jobs efficiently using Cloud Composer
Build and maintain streaming data pipelines using services like Pub/Sub (or Kafka)
Develop and deploy cloud infrastructure and services using Terraform
Automate ETL testing procedures using Python and SQL
and operationalize AI applications and RAG pipelines on GCP
Leverage the Vertex AI platform to train
and deploy machine learning and generative AI models
Design and implement agentic workflows to automate complex business processes
and host REST APIs using Python
deploying them as containerized applications on Cloud Run
Implement and manage CI/CD pipelines using GitHub Actions to ensure smooth and reliable deployment of data and AI applications
Monitor and troubleshoot data and AI pipelines
Resolving L3 support issues in a timely manner
How You'll Work.
Team & Collaboration
Collaborate effectively within an agile team using Jira and Confluence; Working collaboratively
Process & Methodology
Agile team
Full Job Description
## _**Job Description:**_ **Job Title:****GCP Data & AI Engineer, AS** **Location: Pune, India** **Role Description:** This is a hybrid GCP Data and AI Engineer role focused on the end-to-end development of modern data and artificial intelligence solutions. You will design and build robust data integration pipelines, ensure data quality, and leverage that data for advanced analytics. A key focus of this role is operationalizing generative AI use cases, including building and deploying RAG pipelines and agentic workflows. The position also includes L3 support responsibilities for the implemented solutions. **What we’ll offer you** As part of our flexible scheme, here are just some of the benefits that you’ll enjoy * Best in class leave policy. * Gender neutral parental leaves * 100% reimbursement under childcare assistance benefit (gender neutral) * Sponsorship for Industry relevant certifications and education * Employee Assistance Program for you and your family members * Comprehensive Hospitalization Insurance for you and your dependents * Accident and Term life Insurance * Complementary Health screening for 35 yrs. and above **Your key responsibilities:** **Core Data Engineering:** * Design, develop, and maintain scalable data pipelines using Python, SQL, and core GCP services. * Develop and optimize complex SQL queries for data analysis, extraction, and transformation in BigQuery. * Manage and orchestrate batch data jobs efficiently using Cloud Composer. * Build and maintain streaming data pipelines using services like Pub/Sub (or Kafka). * Develop and deploy cloud infrastructure and services using Terraform. * Automate ETL testing procedures using Python and SQL. **AI & Application Development:** * Design, build, and operationalize AI applications and **RAG pipelines** on GCP. * Leverage the **Vertex AI** platform to train, fine-tune, and deploy machine learning and generative AI models. * Design and implement **agentic workflows** to automate complex business
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