Senior GCP Data Engineer — AI & Analytics

Accenture PLC; Columbus (OH); On-site; USD 87,000 - 213,000; Full time

Job summary

Accenture is seeking a GCP Senior Data Engineer to help deliver data modernization, analytics, and AI solutions across Google Cloud Platform. You will design architectures, build data pipelines, and support ML/AI initiatives under guidance from senior team members.

You will work with BigQuery, Dataflow, Dataproc, Pub/Sub, and Looker, collaborating with clients to translate requirements into scalable technical tasks. Travel may be required.

Qualifications

• 5+ years hands-on experience in Data Engineering, Data Analytics, ML Engineering, or related fields.
• 4+ years practical experience with Google Cloud Platform.
• 5+ years experience with SQL, data modeling, and building data pipelines.
• 3+ years experience with Python or AI/GenAI tools (Vertex AI preferred).
• Bachelor's degree or equivalent (minimum 12 years) work experience.

Responsibilities

• Deliver data modernization, analytics, and AI solutions on GCP under guidance from senior team members.
• Build data pipelines, ETL/ELT processes, and integrations using GCP services (BigQuery, Dataflow, Dataproc, Pub/Sub, Cloud Storage).
• Assist with data modeling, performance tuning, and query optimization in BigQuery.
• Develop ML models and AI solutions using Vertex AI, Gemini, Model APIs & embeddings; establish MLOps processes.

Skills

Data engineering

Analytics

ML engineering

GCP

SQL

Python

BigQuery

Education

Bachelor's degree or equivalent

Tools

BigQuery

Dataflow

Dataproc

Pub/Sub

Cloud Storage

Looker

Vertex AI

Gemini

Job description

Accenture is seeking a GCP Senior Data Engineer to help deliver data modernization, analytics, and AI solutions across Google Cloud Platform. You will design architectures, build data pipelines, and support ML/AI initiatives under guidance from senior team members.

You will work with BigQuery, Dataflow, Dataproc, Pub/Sub, and Looker, collaborating with clients to translate requirements into scalable technical tasks. Travel may be required.