Data Engineer

Vivanti Consulting; City of Melbourne; Hybrid; AUD 120,000 - 180,000; Full time

Benefits offered by this job

Growth platform

Global clients

Playbooks

Accelerators

Mentoring

Certifications

Team socials

Job summary

Vivanti Consulting seeks a Data Engineer to bridge business strategy and deep data engineering within enterprise environments. You will design scalable data architectures, collaborate with senior stakeholders, and drive DataOps maturity across CI/CD, testing, and IaC.

Join a global tech consultancy where Generative AI infrastructure, cloud migrations, and modern data platforms are core priorities. Your work will contribute to high-impact projects with Fortune 500 clients and a culture that

Qualifications

• Experience building data architectures for enterprise environments.

Responsibilities

• Architect end-to-end data architectures (Data Lakehouse, Mesh, or Fabric) for enterprise needs.
• Bridge technical teams and executive stakeholders with data-driven roadmaps.
• Set DataOps standards including CI/CD, testing, and IaC.
• Lead data governance & security program, privacy, and metadata cataloging.
• Tune performance and optimize large-scale distributed systems.

Skills

Data engineering

Data lakehouse

Cloud platforms

CI/CD

Communication

Tools

Databricks

Snowflake

Azure

GCP

Terraform

Pulumi

Job description

Your Career, Accelerated. We’re a growing global tech consultancy. Some of the world’s biggest businesses turn to us to help bring their data, AI, cloud and digital solutions to life.

We’re the home base for talented technologists who want more and are looking to take their career to the next level by having more learning, more variety, more support and more chances to do meaningful work.

At Vivanti you're investing in your growth.

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 a Data Engineer who bridges the gap between high‑level business strategy and deep-tier data engineering. You aren't just a diagram builder; you are a systems thinker with a "consultant’s pulse" someone who has spent years in the trenches of enterprise environments, navigating complex legacy debt to build modern, scalable data products.

Architectural Delivery: Design and oversee the implementation of end-to-end data architectures (Data Lakehouse, Mesh, or Fabric) tailored for high‑scale enterprise needs.

Strategic Consulting: Act as a bridge between technical engineering teams and executive stakeholders, translating complex technical constraints into actionable business roadmaps.

Engineering Excellence: Set the standard for DataOps, including CI/CD integration, automated testing for data pipelines, and infrastructure-as-code (Terraform/Pulumi).

Data Governance & Security: Architect robust frameworks for data privacy (GDPR/CCPA), master data management (MDM), and metadata cataloging.

Performance Tuning: Audit and optimize large-scale distributed systems to reduce latency and cloud consumption costs.

Ideally you'll have;

Enterprise Background: Experience working with (or for) Tier‑1 consulting firms or Fortune 500 internal enterprise teams.

Legacy-to-Cloud Migrations: A proven track record of successfully migrating complex, on‑premise ecosystems to the cloud.

Influence & Communication: The ability to command a room of stakeholders and defend architectural decisions with data‑driven logic.

Relevant certifications (e.g., Google Professional Data Engineer, AWS Certified Data Engineer – Associate/Professional, or Azure Data Engineer Associate).

Experience implementing Generative AI or LLM infrastructure within an enterprise data ecosystem.

Contributions to the open‑source data community or a history of speaking at industry conferences.

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.