Company Description
Showtime Consulting is a leading provider of Shielded Cloud and Digital Solutions. Based in Australia and New Zealand, we specialise in delivering secure, enterprise scale technology solutions across highly regulated environments. Our expertise spans cloud platforms, data engineering, and complex systems integration, supporting both commercial and government clients.
We partner with major organisations to deliver high impact programs that demand strong data engineering capability, modern analytics platforms, and close collaboration between business and technology teams. Our focus is on building trusted relationships and delivering outcomes that enable long term business value.
The Role
We are seeking an experienced Data Engineer to join a high performing data team in Canberra, working on the Palantir Foundry platform. This is a mid-level, hands-on engineering role where you will build and maintain production data pipelines and own defined workstreams end-to-end under the guidance of senior engineers.
You will operate independently on well-scoped deliverables, contributing to data modelling, transformation, and application enablement. You will also support junior engineers through pairing and code reviews, contributing to a strong engineering culture and delivery consistency.
Key Responsibilities
Build and maintain end-to-end data pipelines in Palantir Foundry, from raw ingestion through to curated datasets and Ontology objects
Implement Ontology objects, links, and actions in line with defined solution designs
Develop and optimise PySpark transformations for performance, scalability, and cost efficiency
Collaborate with senior engineers to deliver high-quality, production-ready data solutions
Pair with and review work from junior engineers, contributing to capability uplift
Investigate and resolve pipeline failures, participating in support and on-call activities
Partner with analysts and business users to support workshop-based applications and tooling
Contribute to internal documentation, reusable patterns, and engineering standards
Participate in continuous improvement of pipeline design, testing, and delivery practices
What You'll Need
3–5 years' experience in data engineering or analytics engineering roles
At least 1+ year building production pipelines in Palantir Foundry
Strong hands-on experience with PySpark, including transformations, partitioning, and basic performance tuning
Solid SQL capability across analytical workloads
Working knowledge of dimensional modelling (Kimball) or similar data modelling approaches
Experience owning and delivering defined workstreams independently
Strong problem-solving skills and ability to manage ambiguity in delivery environments
Exposure to Ontology modelling or similar data modelling concepts is beneficial
Experience with Foundry applications (Workshop, Quiver, or similar) is advantageous
Exposure to streaming technologies (e.g. Kafka or similar) is a plus
Familiarity with testing approaches (e.g. data assertions, contracts, lineage) is desirable
Strong communication skills and ability to work collaboratively across teams
Why Join Us?
Work on cutting edge Palantir Foundry implementations within a high impact environment
Develop and deliver production-grade data pipelines with real business impact
Be part of a highly skilled, collaborative data engineering team
Gain exposure to modern data platforms, tooling, and engineering practices
Benefit from strong engagement continuity and long term delivery opportunities
Security Clearance Requirement
Due to the nature of this role, applicants must be Australian Citizens with an active NV2 clearance.
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