Principal Data Engineering Consultant (Syd)

DiUS brings together the best of technology consulting and product development. We love what we do, we’re a team of thinkers, investigators, doers, collaborators and change-makers. It's our ability to help our clients navigate emerging technologies to solve difficult problems that continues to set us apart. We help businesses increase efficiency, get new ideas to market or disrupt traditional business models. 

We are on the lookout for an experienced Principal Data Engineer to join our consulting team. In this core role, you’ll perform hands-on data engineering, provide presales support and offer thought leadership across the teams. Your expertise will span multiple projects, platforms and technologies.
Day to day this can include:

• Data Engineering across multiple clients on a variety of data projects.
• Providing guidance and direction on data strategy, data architecture and data governance.
• Leading clients through their data discovery 
• Pre-sales support including discovery workshops, client presentations and proof-of-concept designs 
• Nurture and grow business opportunities

This role requires a strong storyteller, weaving together powerful technical vision to bring clients on the journey. Your application should demonstrate:

• A strong track record of delivery on a variety of data consulting projects across data strategy, data architecture and data governance.
• Confidence to guide clients on leveraging their data assets, including recommendations for analytics tools, machine learning applications, and data monetization strategies.
• Strong client stakeholder management skills, with experience engaging C-level executives, IT teams, and business units.
• Demonstrated ability to understand complex business problems, craft innovative data-driven solutions, and measurably improve our clients' operations.
• Proven leadership in solution delivery, combined with hands-on technical skills.

While we have our preferred tools, and you will too, we’re focussed on meeting the client wherever they are on their data journey, whichever tools they’re using. An opinionated, but ultimately tech-stack agnostic approach is important to our work. A broad knowledge across the data landscape, data frameworks (eg Spark, Hadoop, Flink), cloud platforms (GCP, AWS, Azure), and related tools will set you up for success in this role.