GCP Data & AI Engineer — BigQuery, Looker & Vertex AI

Accenture PLC; Milwaukee (WI); On-site; USD 90,000 - 170,000; Full time

Benefits offered by this job

Medical insurance

Dental insurance

Vision insurance

Life insurance

Long-term disability

401(k) plan

Bonus opportunities

Paid holidays

Paid time off

Job summary

Accenture is a premier Google Cloud partner helping organizations modernize data ecosystems, build real-time analytics capabilities, and responsibly scale AI. We deliver solutions leveraging Google Cloud’s Data & AI platform—BigQuery, Looker, Vertex AI, Gemini models, and Gemini Enterprise.

You will work with clients, support senior architects, and contribute to end-to-end project delivery. You will join a hands-on team delivering data engineering, analytics, and ML solutions, with opportunities

Qualifications

• Minimum of 2 years of hands-on experience in Data Engineering, Data Analytics, ML Engineering, or related fields.
• Minimum of 2 years of practical experience with Google Cloud Platform.
• Minimum of 2 years of experience with SQL, data modeling, and building data pipelines.
• Minimum of 2 years of experience with Python or AI or GenAI tools (Vertex AI preferred).
• Bachelor's degree or equivalent (minimum 12 years' work experience). If Associate’s Degree, must have equivalent minimum 6-year work experience

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.
• Support Agentic AI & ML Solution Development
• Assist in developing ML models and AI solutions using: Vertex AI, Gemini Foundation Models, Gemini Enterprise, Model APIs & Embeddings
• Implement ML pipelines and help establish MLOps processes (monitoring, retraining, deployment).
• Support prompt engineering, embeddings, and retrieval-augmented generation (RAG) experimentation.
• Contribute to model testing, validation, and documentation.
• Requirements Gathering & Client Collaboration
• Participate in client workshops to understand data needs, use cases, and technical requirements.
• Help translate functional requirements into technical tasks and implementation plans.
• Communicate progress, blockers, and insights to project leads and client stakeholders.
• Data Governance, Quality & Security Support
• Implement metadata management, data quality checks, and lineage tracking using GCP tools (Dataplex, IAM).
• Follow best practices for security, identity management, and compliance.
• Support operational processes for data validation, testing, and monitoring.
• Continuous Learning & Team Support
• Learn and apply GCP Data & AI best practices across architectural patterns, engineering standards, and AI frameworks.
• Collaborate closely with senior data engineers, ML engineers, and architects.
• Contribute to internal accelerators, documentation, and reusable components.
• Stay current with GCP releases, Gemini model updates, and modern engineering practices.

Skills

Data engineering

SQL

Python

Education

Bachelor's degree or equivalent

Tools

BigQuery

Dataflow

Dataproc

Pub/Sub

Cloud Storage

Looker

Looker Studio

Vertex AI

Gemini

MLOps

CI/CD

Git

Job description

Accenture is a premier Google Cloud partner helping organizations modernize data ecosystems, build real-time analytics capabilities, and responsibly scale AI. We deliver solutions leveraging Google Cloud’s Data & AI platform—BigQuery, Looker, Vertex AI, Gemini models, and Gemini Enterprise.

You will work with clients, support senior architects, and contribute to end-to-end project delivery. You will join a hands-on team delivering data engineering, analytics, and ML solutions, with opportunities