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Senior Analytics Engineer

Showtime Consulting -
Canberra ACT

Quick Apply

Job Details

Contract

Qualifications

Data modelling
SQL
Incident response
Data pipeline
APIs
Communication skills
Analytics

Full Job Description

Design and build end-to-end data pipelines on Palantir Foundry
Model data using ontology and deliver scalable data products
Lead engineering standards, mentoring and pipeline optimisation

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 Senior Analytics Engineer to join a high‑performing data team in Canberra, working on the Palantir Foundry platform. This is a senior, hands‑on engineering role where you will own data products end‑to‑end, from ingestion and transformation through to ontology modelling and downstream application consumption.
You will act as a technical leader within the team-guiding junior engineers, reviewing code, and setting standards for how data is modelled, engineered, and delivered. While this role has no direct reports, it requires strong influence through engineering excellence, mentoring, and collaboration.

Key Responsibilities

Design, build, and maintain end‑to‑end data pipelines within Palantir Foundry, from raw ingestion through to curated data products.
Model complex business domains using Foundry Ontology (objects, links, and actions).
Develop and deploy data products for downstream consumption in applications such as Workshop and Quiver.
Act as the technical reference point for the team, unblocking engineers and providing guidance on best practices.
Review solution designs and code from junior engineers, uplifting overall team quality and standards.
Partner with analysts and business users to build data‑driven applications and insights.
Define and manage SLAs, monitoring, and incident response processes for critical pipelines.
Implement and maintain data quality checks, health monitoring, and alerting frameworks.
Contribute to engineering standards, reusable patterns, and technical documentation.
Drive continuous improvement in data modelling, pipeline design, and delivery practices.

What You’ll Need

At least 5-7 years’ experience in analytics engineering or data engineering roles.
At least 2+ years’ experience building production pipelines in Palantir Foundry.
Strong expertise in SQL, including complex analytical transformations.
Experience with dimensional modelling (Kimball) or Data Vault methodologies.
Proven experience mentoring or technically guiding junior engineers.
Experience operating business‑critical data pipelines, including SLAs, monitoring, alerting, and incident response.
Strong communication skills and ability to work across technical and business stakeholders
Exposure to ontology modelling, Foundry applications (Workshop/Quiver), or similar platforms is beneficial
Experience with PySpark, streaming (e.g. Kafka), or distributed processing is advantageous
Familiarity with testing approaches (e.g. assertions, data quality checks, lineage) is a plus
Experience integrating API‑based data sources or working with external data streams is desirable

Why Join Us?

Work on cutting‑edge Palantir Foundry implementations within a high‑impact environment.
Take ownership of end‑to‑end data products with real business impact.
Be part of a highly skilled, collaborative data engineering team.
Join a consulting culture focused on technical excellence, innovation, and continuous improvement.
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.

Quick Apply

Refine Your Search

data processing analyst jobs

Senior Analytics Engineer

Finance Analyst

RF Specialist

Business Analyst

Analyst, Global Investment Banking Industrials & Financial Sponsors

Senior Systems Analyst

Reliability & Observability Analyst II

EY External Security Vetting Senior Analyst

AWS Data Engineering Lead

IT Security Administrator - TS/SCI with Polygraph

Executive Support Senior Analyst

Azure Fabric Data Engineer

GIS Production Engineer

DataDivers - Senior Data Engineer

Senior Analyst, Corporate Actions

Senior Intelligence Analyst - Team Leader

Associate DevOps Analyst

"Senior Analyst Financial Risk "

Financial Transformation Analyst

Data Architect - 2 Year Fixed Term

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