Google Data Specialist

Accenture PLC; Redmond; On-site; AUD 101,000 - 282,000; Full time

Benefits offered by this job

Medical benefits

Dental benefits

Vision benefits

Life insurance

Long-term disability

401(k) plan

Bonus opportunities

Paid holidays

Paid time off

Job summary

Accenture PLC is seeking a hands-on Data/AI Specialist to contribute to Google Cloud-based data platforms. You will design and implement data pipelines, model ML solutions, and governance with BigQuery, Dataflow, and Looker, collaborating with clients and senior architects.

You will work across data ingestion, modeling, and MLOps, learning modern GCP patterns, and supporting end-to-end delivery in client engagements. Travel may be required.

Qualifications

• Minimum of 2 years 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/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 for data and AI solutions.
• Build data pipelines, ETL/ELT processes, and integrations using GCP services like 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 sources.
• Support development of dashboards and analytics products using Looker or Looker Studio.
• Support ML and AI solution development using Vertex AI, Gemini models, embeddings, and APIs.
• Implement ML pipelines and help establish MLOps processes including monitoring and retraining.
• Support prompt engineering, embeddings, and retrieval-augmented generation (RAG) experiments.
• Participate in client workshops, translate requirements, and track progress.

Skills

Data engineering

GCP

SQL

Python

Education

Bachelor's degree

Tools

BigQuery

Dataflow

Dataproc

Pub/Sub

Looker

Vertex AI

Gemini

Job description

We Are

Accenture is a premier Google Cloud partner helping organizations modernize data ecosystems, build real-time analytics capabilities, and responsibly scale AI. As part of Accenture Cloud First and the Accenture Google Business Group (AGBG), we deliver solutions leveraging Google Cloud’s Data & AI platform—including BigQuery, Looker, Vertex AI, Gemini Foundation Models, and Gemini Enterprise.

You Are

A hands-on Specialist with foundational experience in Data Engineering, Analytics, or Machine Learning—now building deep expertise in Google Cloud Platform (GCP). You are eager to apply technical skills, learn advanced Data & AI patterns, and support delivery teams in designing and implementing modern data and AI solutions. You’re comfortable working directly with clients, supporting senior architects, and contributing to end-to-end project execution.

The Work (What You Will Do)

• 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.

Travel may be required for this role. The amount of travel will vary from 0 to 100% depending on business need and client requirements.

Here's What You Need

• 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

Bonus points if you have

• Familiarity with GCP services such as BigQuery, Dataflow, Pub/Sub, Dataproc, Cloud Storage, and Looker.
• Exposure to AI/ML development or experimentation with Vertex AI, Gemini models, embeddings, or RAG patterns.
• Hands-on experience with CI/CD, Git, or cloud-native engineering practices.
• Google Cloud certifications (Associate Cloud Engineer or Professional Data Engineer).
• Experience working in agile delivery environments.

Compensation at Accenture varies depending on a wide array of factors, which may include but are not limited to the specific office location, role, skill set, and level of experience. As required by local law, Accenture provides a reasonable range of compensation for roles that may be hired as set forth below.

We anticipate this job posting will be posted until 12/02/2026.

Accenture offers a market competitive suite of benefits including medical, dental, vision, life, and long-term disability coverage, a 401(k) plan, bonus opportunities, paid holidays, and paid time off.

U.S. Employee Benefits | Accenture

Role Location Annual Salary Range

• California $70,350 to $196,000
• Colorado $63,800 to $169,300
• Connecticut $63,800 to $169,300
• District of Columbia $68,000 to $180,300
• Illinois $59,100 to $169,300
• Maine $54,400 to $144,300
• Maryland $63,800 to $169,300
• Massachusetts $63,800 to $180,300
• Minnesota $63,800 to $169,300
• New York $66,300 to $196,000
• New Jersey $68,000 to $196,000
• Ohio $59,100 to $156,800
• Virginia $59,100 to $180,300
• Washington $80,200 to $180,300

Requesting an Accommodation

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