Google Senior Data Engineer

Accenture; San Francisco (CA); On-site; USD 150,000 - 210,000; Full time

Job summary

Accenture, a premier Google Cloud partner, is hiring a GCP Senior Data Engineer to help modernize data ecosystems, enable real-time analytics, and responsibly scale AI. You will work directly with clients, support senior architects, and contribute to end-to-end delivery—building data pipelines with BigQuery, Dataflow, Looker, Vertex AI, and Gemini models.

This hands-on role emphasizes data quality, performance tuning, and scalable ML pipelines, with opportunities to influence architecture and

Qualifications

• Hands-on data engineering, analytics, or ML on cloud platforms.
• Experience delivering end-to-end data & AI solutions for clients.
• Strong collaboration with architects and delivery teams.

Responsibilities

• Deliver data modernization, analytics, and AI solutions on GCP.
• Build data pipelines (ETL/ELT), data models, and performance tuning in BigQuery.
• Support dashboards using Looker/Looker Studio and ML/AI solution development.
• Develop ML models, ML pipelines, and MLOps processes (monitoring, retraining, deployment).
• Assist in prompt engineering, embeddings, and retrieval tasks.

Skills

Data Engineering

Analytics

Machine Learning

Client-facing

Tools

BigQuery

Dataflow

Dataproc

Pub/Sub

Cloud Storage

Looker

Looker Studio

Vertex AI

Gemini Foundation Models

Gemini Enterprise

Model APIs

Embeddings

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 Engineer 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)

As a GCP Senior Data Engineer, you will help deliver data modernization, analytics, and AI solutions on GCP. You will support architecture design, build data pipelines and models, perform analysis, and contribute to technical implementations under guidance from senior team members.

1. 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.

1. 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