Senior GCP Data Engineer — Real‑Time Analytics & AI

Accenture; Minneapolis (MN); On-site; USD 120,000 - 180,000; Full time

Job summary

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, we deliver solutions across BigQuery, Looker, Vertex AI, and Gemini Foundation Models.

The GCP Senior Data Engineer role focuses on hands-on delivery of data pipelines, analytics, and AI solutions, supporting architecture and client delivery teams in end-to-end projects.

Qualifications

• Hands-on engineer with foundational experience in Data Engineering, Analytics, or Machine Learning.
• Building deep expertise in Google Cloud Platform (GCP) and modern data patterns.
• Ability to work directly with clients and support delivery teams.

Responsibilities

• Deliver data modernization, analytics, and AI solutions on GCP under guidance from senior team members.
• Design architectures, build data pipelines and models, and perform data analysis.
• Support dashboards and analytics products using Looker or Looker Studio.
• Contribute to AI/ML solution development, ML pipelines, and MLOps processes.

Skills

Data engineering

Analytics

Machine Learning basics

GCP

ETL/ELT

Tools

BigQuery

Dataflow

Dataproc

Pub/Sub

Cloud Storage

Vertex AI

Gemini Foundation Models

Job description

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, we deliver solutions across BigQuery, Looker, Vertex AI, and Gemini Foundation Models.

The GCP Senior Data Engineer role focuses on hands-on delivery of data pipelines, analytics, and AI solutions, supporting architecture and client delivery teams in end-to-end projects.