Senior GCP Data Engineer — Real-Time Analytics & AI

Accenture; Carmel (IN); On-site; USD 110,000 - 150,000; Full time

Job summary

Accenture is a premier Google Cloud partner delivering modern data ecosystems, real-time analytics, and scalable AI. We seek a GCP Senior Data Engineer to help design and implement data pipelines, analytics, and AI solutions on Google Cloud Platform.

You will support architecture design, build data pipelines, model data, and contribute to technical implementations under senior guidance, while collaborating with clients and delivery teams to drive end-to-end project execution.

Qualifications

• Hands-on Engineer with foundational experience in Data Engineering, Analytics, or Machine Learning—now building deep expertise in Google Cloud Platform (GCP).
• Eager to apply technical skills, learn advanced Data & AI patterns, and support delivery teams in designing and implementing modern data and AI solutions.
• Comfortable working directly with clients, supporting senior architects, and contributing to end-to-end project execution.

Responsibilities

• Deliver data modernization, analytics, and AI solutions on GCP under guidance from senior team members.
• Build data pipelines and models; perform analysis and implement technical components.
• Develop dashboards and analytics products using Looker or Looker Studio.
• Collaborate with clients and delivery teams to execute end-to-end projects.

Skills

Data engineering

Analytics

Machine learning

Client interaction

End-to-end project delivery

Tools

BigQuery

Dataflow

Dataproc

Pub/Sub

Looker/Looker Studio

Job description

Accenture is a premier Google Cloud partner delivering modern data ecosystems, real-time analytics, and scalable AI. We seek a GCP Senior Data Engineer to help design and implement data pipelines, analytics, and AI solutions on Google Cloud Platform.

You will support architecture design, build data pipelines, model data, and contribute to technical implementations under senior guidance, while collaborating with clients and delivery teams to drive end-to-end project execution.