Showtime Consulting – Company Overview
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.
Role Summary
We are seeking an experienced Data Engineer to join a high‑performing data team in Canberra, working on the Palantir Foundry platform. This mid‑level, hands‑on engineering role involves building and maintaining production data pipelines and owning defined workstreams end‑to‑end under the guidance of senior engineers.
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
Qualifications
- 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 such as data assertions, contracts or lineage is desirable
- Strong communication skills and ability to work collaboratively across teams
Benefits
- 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
Applicants must be Australian citizens with an active NV2 clearance.
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