Senior Data Engineer, Cloud Data & AI Solutions

Accenture PLC; Saint Petersburg (FL); On-site; USD 120,000 - 190,000; Full time

Job summary

Accenture PLC is seeking a hands-on Data/AI Engineer to deliver data engineering and ML solutions on Google Cloud Platform. You will collaborate with clients and senior architects to design pipelines, models, and analytics products using BigQuery, Vertex AI, Looker, and Gemini models. Travel may be required to support client engagements.

The role requires strong SQL, data modeling, Python, and experience across data governance, MLOps, and CI/CD practices in real-world projects.

Qualifications

• Minimum of 5 years of hands-on experience in Data Engineering, Data Analytics, ML Engineering, or related fields.
• Minimum of 4 years of practical experience with Google Cloud Platform.
• Minimum of 5 years of experience with SQL, data modeling, and building data pipelines.
• Minimum of 3 years of experience with Python or AI or GenAI tools (Vertex AI preferred).
• Bachelor’s degree or equivalent work experience (minimum 12 years).

Responsibilities

• Hands-On Technical Delivery.
• Build data pipelines, ETL/ELT processes, and integrations using GCP services such as BigQuery, Dataflow, Dataproc, Pub/Sub, Cloud Storage.
• Assist with data modeling, performance tuning, and query optimization in BigQuery.
• Implement data ingestion patterns for batch and streaming data sources.
• Support development of dashboards and analytics products using Looker or Looker Studio.
• Assist in developing ML models and AI solutions using Vertex AI, Gemini, and Model APIs.

Skills

Client collaboration

Data governance

ML engineering basics

MLOps familiarity

CI/CD basics

Education

Bachelor’s degree or equivalent

Tools

BigQuery

Dataflow

Dataproc

Pub/Sub

Cloud Storage

Looker

Vertex AI

Gemini Foundation Models

Gemini Enterprise

Job description

Accenture PLC is seeking a hands-on Data/AI Engineer to deliver data engineering and ML solutions on Google Cloud Platform. You will collaborate with clients and senior architects to design pipelines, models, and analytics products using BigQuery, Vertex AI, Looker, and Gemini models. Travel may be required to support client engagements.

The role requires strong SQL, data modeling, Python, and experience across data governance, MLOps, and CI/CD practices in real-world projects.