In-Demand Google data engineer Jobs in Canberra, Act

Google Data Engineer
Accenture —Canberra ACT
- Full-time
- SQL
- APIs
- AI
Cloud Engineer
Leidos —Canberra ACT
- Full-time
- Azure
- AWS
- Annual leave
Google Data Engineer - GCP
NCS Australia —Canberra ACT
- Full-time
- Hybrid work
- Parental leave
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Cloud Engineer
Dreamtime Data Services —Canberra ACT
- $9,572.50 - $11,667.88 a month
- Full-time
- Computer science
- Azure
- Management
- Health insurance
- Dental insurance
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Software Engineer, Sovereign Cloud
Google —Canberra ACT
- Full-time
- Computer Science
- Master's degree
- Bachelor's degree
Cloud Engineer
NTT DATA —Canberra ACT
- Full-time
- Azure
- Computer Science
- Bachelor's degree
- Parental leave
- Employee discount
AWS DevOps Engineer
Accenture —Canberra ACT
- Full-time
- Software troubleshooting
- DevOps
- AWS
Senior Cloud Engineer
NTT Ltd —Canberra ACT
- Full-time
- Azure
- Computer Science
- Bachelor's degree
- Parental leave
- Employee discount
Senior Cloud Engineer
NTT DATA —Canberra ACT
- Full-time
- Azure
- Computer Science
- Bachelor's degree
- Parental leave
- Employee discount
Senior Client Executive
NetApp —Canberra ACT
- Full-time
- Hybrid work
- Azure
- Business development
- Analysis skills
- Annual leave
- Employee assistance program
Technology and Operations Centre Referrals
Accenture —Canberra ACT
- Full-time
- On-the-job training
- Parental leave
Referrals for Google Cloud Practitioners (EoI)
Accenture —Canberra ACT
- Full-time
- DevOps
- AI
- Communication skills
Senior Solution Architect
Datacom —Canberra ACT
- Full-time
- Microsoft Access
- Azure
- Microsoft Office
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google data engineer jobs near canberra, act

Google Data Engineer

Accenture -
Canberra ACT

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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

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google data engineer jobs in canberra, act

Google Data Engineer

Cloud Engineer

Google Data Engineer - GCP

Cloud Engineer

Software Engineer, Sovereign Cloud

Cloud Engineer

AWS DevOps Engineer

Senior Cloud Engineer

Senior Cloud Engineer

Senior Client Executive

Technology and Operations Centre Referrals

Referrals for Google Cloud Practitioners (EoI)

Senior Solution Architect

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