Managing Consultant – Cloud Data Engineer | Melbourne

Posted Yesterday
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Melbourne, Victoria, AUS
Hybrid
Entry level
Information Technology • Software • Database • Analytics • Consulting
The Role
Lead modern Data & Analytics engagements from discovery through delivery while designing scalable cloud data solutions. Manage delivery teams, mentor consultants, advise senior client stakeholders, shape technical proposals, and contribute to consulting methodologies. The role requires hands-on expertise across data engineering, architecture, warehousing, integration, cloud platforms, dbt, ETL/ELT, BI, and technical project leadership.
Summary Generated by Built In

Stay technical. Lead engagements. Influence the solution.

We're looking for a Managing Consultant who can bridge the gap between strong technical delivery and trusted client advisory.

You'll lead modern Data & Analytics engagements while remaining close enough to the technology to challenge designs, shape architecture and help teams make good engineering decisions.

If you're at the point in your career where you want more ownership and influence without moving completely away from technical work, this role is designed for that.

What you'll do

  • Lead Data & Analytics projects from discovery through delivery.
  • Design modern, scalable data and analytics solutions.
  • Work across data engineering, warehousing, integration, analytics, and cloud platforms.
  • Lead small-to-medium delivery teams.
  • Coach and mentor other consultants.
  • Work directly with senior client stakeholders.
  • Help shape proposals and technical approaches.
  • Contribute to Altis methodologies and capability development.

What you'll bring

We're interested in people with experience across areas such as:

  • Modern data engineering
  • Data modelling and architecture
  • Cloud data platforms experience - Snowflake, Databricks, Fabric, Azure or AWS
  • dbt experience
  • Data integration and ETL/ELT
  • BI and analytics ecosystems
  • Technical project leadership
  • Client-facing consulting

You don't have to tick every box. Strong technical fundamentals, sound judgement, and the ability to create confidence with clients matter more than matching a checklist.

Why Altis?

For more than 25 years, Altis has focused on one thing: helping organisations create better outcomes through data.

We're Australian-owned and technology-agnostic, which means our consultants can focus on solving the right problem rather than selling a particular platform.

At Altis you'll have the opportunity to:

  • Work across varied and challenging Data & AI engagements
  • Learn from experienced specialists across consulting, engineering, analytics and AI
  • Build your capability through ongoing learning and career development
  • Work in a collaborative environment where you're encouraged to challenge ideas and contribute your own
  • Work flexibly through our hybrid model
  • Access health and wellbeing support for you and your family
  • Access paid parental leave and our reward and recognition program

Our values — Be Curious, Own It, Lead with Heart and Discover a Way — shape how we work with our clients and with each other.

Your next move doesn't need to tick every box

If the role sounds like the direction you want your career to take but you don't meet every requirement listed, we'd still encourage you to apply.

Different experiences and perspectives make our teams stronger.

If you need adjustments or support at any stage of our recruitment process, let our Talent Acquisition team know and we'll work with you.

Ready to see your career differently? We'd love to hear from you.


Skills Required

  • Experience with modern data engineering
  • Experience with data modelling and architecture
  • Experience with cloud data platforms, including Snowflake, Databricks, Microsoft Fabric, Azure, or AWS
  • Experience with dbt
  • Experience with data integration and ETL/ELT
  • Experience with BI and analytics ecosystems
  • Technical project leadership experience
  • Client-facing consulting experience
  • Strong technical fundamentals and sound judgement
  • Ability to build confidence with clients
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The Company
HQ: Sydney, New South Wales
197 Employees
Year Founded: 1998

What We Do

Altis is the largest and most experienced Data and Analytics consulting firm in Australia and New Zealand, with over 150 permanent staff, focused on delivering tangible business outcomes. Altis was founded in 1998 by Hyun Choi and Gavin Cooke, with a vision to grow a living company that would continue to be prosperous in the face of whatever the future held. They were not building a business to sell, rather they were fostering a culture that could grow with the modern world. And as Altis did grow, its core ethos developed out of this family foundation. ‘Connecting with Courage, Heart, and Insight’ became the central framework for how Altis operated. In simple terms, it meant a commitment to our team, our clients and our community. Our drive came from building lasting relationships, sharing responsibility and reaching goals together. Even as we’ve continued to expand into Data and Analytics, we’ve held onto this ethos, always putting people first, business second. At Altis, what we provide is ongoing; a permanent seat at the table with equal share in every conversation. We will connect you to thought leaders in the industry, who will provide their insights into your problems. Altis nurtures lifelong learning in all of our team members because we know that a happy, engaged team means happy, loyal customers, which spells success for both of us. This is the belief that Altis was founded on, the way that we work now, and the way we will continue to work in the years to come. Over the last 25 years, Altis has delivered a variety of projects ranging from Strategies to Delivery to Managed Services for clients in Sydney, Melbourne, Canberra, Auckland and London. In addition to local success, Altis has been recognised worldwide including being published in CIO Magazine in the UK, DM Review and by its exclusive partnership with Kimball University and Stephen Few.

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