In-Demand google data engineer gcp Jobs in the gap qld

Google Data Engineer
Accenture —Brisbane QLD
- Full-time
- SQL
- APIs
- AI
Google Data Engineer - GCP
NCS Australia —Brisbane QLD
- Full-time
- Hybrid work
- Parental leave
Quick Apply
Software Engineer, Data Infrastructure & Acquisition - Brisbane, Australia
Speechify —Brisbane QLD
- Remote
- Doctoral degree
- Computer Science
- Master's degree
4d
Referrals for Google Cloud Practitioners (EoI)
Accenture —Brisbane QLD
- Full-time
- DevOps
- AI
- Communication skills
Software Engineer
Resic —Coorparoo QLD
- $90,000 - $110,000 a year
- Full-time
- Hybrid work
- Computer Science
- SQL
- Analysis skills
- Work from home
Quick Apply
8d
DevOps Engineer, Trading Technology
Binance —Brisbane QLD
- Full-time
- Remote
- AWS
- Bachelor's degree
- AI
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Senior DevOps Engineer, Trading Technology
Binance —Brisbane QLD
- Full-time
- Remote
- AWS
- Bachelor's degree
- AI
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Senior/Staff DevOps Engineer, Trading Technology
Binance —Brisbane QLD
- Full-time
- Remote
- AWS
- Bachelor's degree
- AI
Quick Apply
Senior Staff Engineer
Epsilon —Bowen Hills QLD
- Full-time
- Hybrid work
- AWS
- AI
- Health insurance
- Annual leave
Senior Solution Architect
Datacom —Brisbane QLD
- $213,000 a year
- Full-time
- Microsoft Access
- Azure
- Microsoft Office
Quick Apply
2d
Solution Architect
Future Secure AI —Brisbane QLD
- Azure
- DevOps
- AWS
Quick Apply

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google data engineer gcp jobs near the gap qld

Google Data Engineer

Accenture -
Brisbane QLD

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Job Details

Full-time

Qualifications

Looker
Data modelling
Database development
Google Cloud Platform
SQL
Terrafrom
Data pipeline
APIs
Apache
AI
Communication skills
Data warehouse

Full Job Description

Job Description: Join our dynamic Data & AI practice as a Google Data Engineer, where you’ll be delivering high impact client-facing data transformation initiatives across industries.

As a Google Data Engineer you will be responsible for designing, developing, and managing data and AI solutions on the Google Cloud Platform. You will be responsible for creating data pipelines, managing ETL/ELT processes, optimising data storage and retrieval, designing scalable data architectures, and integrating generative AI capabilities using Vertex AI and Gemini. You’ll have the opportunity to leverage the latest tools to enable our clients with modern, AI-ready Data Platforms.

Our Google Cloud practice continues to grow from strength to strength, delivering cutting-edge cloud and AI transformation programmes across industries. We are embedding Gen AI — including Vertex AI and Gemini — into the solutions we deliver for our clients, and in how we deliver them, making Accenture’s Data & AI team a fantastic place to make an impact and grow your career.

Project Description / Key Responsibilities:

Designing and building Data Products on GCP using services such as BigQuery, Cloud Storage, Dataflow, Dataplex, and Looker.
Data Pipeline Development using Cloud Dataflow (Apache Beam), Cloud Composer (Apache Airflow), Pub/Sub, and Datastream for change data capture.
Data Modelling and Mapping aligned to business requirements and cloud-native best practices on BigQuery.
Integration of Vertex AI and Gemini capabilities into data and AI solutions, including RAG pipelines, Gemini API calls, and Vertex AI Agent Builder workflows.
Leveraging data engineering tools like dbt for transformation and data quality on BigQuery.
Performance Optimisation of GCP data services including BigQuery slot management, partitioning and clustering strategies, and Dataflow pipeline tuning.
Programming and Data Modelling using Python, SQL, and GCP SDKs (google-cloud libraries).

Key Skills:

Highly proficient in SQL programming for writing complex queries to extract, manipulate, and analyse data from BigQuery, including use of BigQuery ML for in-database model development.
Proficiency in Python for data engineering, automation, and integration with GCP services via google-cloud libraries and Apache Beam; experience with Java or Scala is a plus.
Hands-on experience with Vertex AI and Gemini, including invoking Gemini APIs, building RAG applications with Vertex AI Search and Vector Search, and integrating Vertex AI into data pipelines and applications.
Minimum 5+ years in Data Engineering and Data Warehousing, with demonstrated experience on GCP.
Expertise in ETL/ELT processes and tools, including Cloud Dataflow, dbt, Cloud Composer (Airflow), and Datastream.
Experience with infrastructure-as-code (Terraform preferred) and GitOps
Good communication skills and ability to learn quickly.

Location: Melbourne, Sydney, Brisbane, Canberra

Apply Now

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google data engineer gcp jobs in the gap qld

Google Data Engineer

Google Data Engineer - GCP

Software Engineer, Data Infrastructure & Acquisition - Brisbane, Australia

Referrals for Google Cloud Practitioners (EoI)

Software Engineer

DevOps Engineer, Trading Technology

Senior DevOps Engineer, Trading Technology

Senior/Staff DevOps Engineer, Trading Technology

Senior Staff Engineer

Senior Solution Architect

Solution Architect

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