GCP Data Engineer

Vivanti Consulting; City of Melbourne; On-site; AUD 90,000 - 130,000; Full time

Benefits offered by this job

Mentoring Program

360° Progress Reviews

Guilds & Weekly Training

Paid Certifications

Hackathons & Innovation Days

Kudos & Recognition Programs

Socials & Team Days

Job summary

Vivanti Consulting is seeking data engineers with specialist skills in GCP or cloud technologies to join the Data Practice in our consulting team. You will hone data engineering, solution design, problem-solving and consulting skills in a fast-paced, collaborative environment, working with like-minded technologists.

You’ll design and build pipelines to ingest, transform, and load data, set up data lakes and warehouses for scalable access, and ensure systems are secure, reliable and

Qualifications

• Design and build pipelines to ingest, transform and load data.
• Set up data lakes and warehouses for scalable access.
• Ensure systems are secure, reliable and cost-effective.
• Collaborate with analysts, ML engineers and platform teams.

Responsibilities

• Design and build data pipelines for ingestion, transformation and loading.
• Set up scalable data lakes and warehouses.
• Ensure security, reliability and cost-efficiency of data platforms.
• Collaborate with analysts, ML engineers and platform teams.

Skills

Data engineering

GCP

Cloud technologies

Tools

Python

Spark

Airflow

Snowflake

Databricks

BigQuery

Neo4J

dbt

Fivetran

Terraform

Job description

What You’ll Get

• A platform for growth: Work across industries, clients and technologies that stretch your thinking and build your personal and professional skills.
• Access global businesses: Work with some of the world's biggest brands
• IP, frameworks and accelerators: We share what we know. Our playbooks and toolkits fast-track your success on projects.
• All the shiny tech: Databricks, Snowflake, Azure, GCP, AWS - you’ll use it, play with it and maybe even break it (responsibly).
• Senior consultants who have your back: You’ll always have a guide on your journey, not just be thrown into the deep end.
• Serious learning support: Paid certs, weekly training, guilds, hackathons, mentoring and more.
• Progress that’s transparent: Annual reviews based on 360° feedback, not vague vibes. Clear goals, solid feedback and real growth.
• Kudos and rewards: We celebrate wins, reward impact and offer long-term incentives.
• Real connection: From Friday socials to annual team building days - we work hard and play harder.

What We’re Looking For

We are looking for data engineers with specialist skills in GCP or cloud technologies to join the Data Practice in our consulting team and continue to hone their data engineering, solution design, problem-solving and consulting skills in a fast paced, fun and collaborative environment, working alongside like-minded talented technologists.

• Design and build pipelines to ingest, transform and load data
• Set up data lakes and warehouses for scalable access
• Ensure systems are secure, reliable and cost-effective
• Collaborate with analysts, ML engineers and platform teams

You might work with:

• Python, Spark, Airflow
• Snowflake, Databricks, BigQuery, Neo4J
• dbt, Fivetran, Terraform

Your work matters and so do you. That’s why we back your skills with a structure that supports your development, celebrates your wins, and helps you keep growing professionally and personally.

Here’s what’s waiting for you:

• Mentoring Program – with a Senior Support Lead
• 360° Progress Reviews – honest feedback, not fluff
• Guilds & Weekly Training – learn from your peers
• Paid Certifications – across all major technologies
• Hackathons & Innovation Days – challenge yourself, build cool stuff
• Kudos & Recognition Programs – great work doesn’t go unnoticed
• Socials & Team Days – Data-Coolada Fridays, Team Building days, and more

Final Word

If you're looking for the place where your growth will go into overdrive, where you'll work with great humans, get access to cutting-edge tools and genuinely enjoy the ride? Welcome to Vivanti.