Data Engineer

The GPT Group; Sydney; Hybrid; AUD 120,000 - 180,000; Full time

Benefits offered by this job

Flexible work arrangements

Parental leave benefits

Wellbeing programs

Job summary

The GPT Group is seeking a hands-on Data Engineer to join the Data & Analytics team in Sydney. You will design, build and operate data ingestion pipelines, databases and curated datasets fundamental to our data platform and AI initiatives.

You will work within a Data Engineering sub-team reporting to the Data Engineering Manager, using AI-assisted tooling and DataOps to accelerate delivery while maintaining reliability and cost efficiency across our cloud data platform.

Qualifications

• 4-5 years delivering production pipelines and data models in a data engineering role.
• Strong SQL, Python and cloud data warehouse experience (Snowflake or comparable).
• Experience with modern analytics engineering tooling and data for AI/GenAI consumption.

Responsibilities

• Build and maintain data ingestion and pipelines across structured and unstructured sources, landing, transforming and making data available reliably and at scale.
• Develop and maintain components of the data platform (Snowflake, databases and tooling) per standards.
• Monitor pipelines, investigate failures and resolve day-to-day issues.
• Contribute to analytics engineering and the semantic layer, producing curated datasets for reporting and data products.
• Build AI-facing data foundations to support data products and AI team consumption.
• Uphold engineering standards and participate in code reviews.

Skills

SQL

Python

Snowflake

Data Warehousing

DataOps

Education

Degree in a technical field

Tools

dbt

Job description

We shape leading experiences across office, retail, logistics and student accommodation.

We’re one of Australia’s largest property groups, managing $38.9 billion worth of assets across the country.

Our sustainable returns from investments come from focusing on what matters most to customers - a great experience and doing good. Every day, our people are driving positive impact for people, place and planet. They’re inquisitive, pioneering industry firsts and pushing new ideas to deliver exceptional outcomes.

This passion and expertise creates an employee experience that puts wellbeing, flexibility and opportunity first.

The role

We're looking for a hands-on Data Engineer to join our Data & Analytics team and play a central role in building the data foundation our business runs on.

Sitting within the Data Engineering sub-team and reporting to the Data Engineering Manager, you'll design, build and maintain the ingestion pipelines, databases and curated datasets that our data platform and wider Data & AI estate depend on. This is a build-and-run role where you'll develop new pipelines, keep day-to-day operations running smoothly, and investigate and resolve data issues as they arise. You'll work AI-first using AI-assisted tooling to accelerate delivery, contribute to the pipelines that feed our AI team's work, and collaborate closely with our external data and AI partner on shared delivery.

What you will be doing

• Build and maintain data ingestion and pipelines across structured and unstructured sources, landing, transforming and making data available reliably and at scale.
• Develop and maintain components of the data platform - Snowflake, databases and supporting tooling - within the architecture and standards set by the Data Engineering Manager.
• Support platform reliability, performance and cost in practice - monitoring pipelines, investigating failures and resolving day-to-day issues, escalating to the Manager where needed.
• Contribute to analytics engineering and the semantic layer, producing curated, well-modelled datasets that feed reporting and data products.
• Build AI-facing data foundations - AI semantics and unstructured-data pipelines - that support the data products and data agents consumed by the AI team.
• Work to the engineering standards, ways of working and technical direction set for the data domain, applying them consistently in build and code review.
• Work AI-first, using AI-assisted engineering and DataOps automation to accelerate delivery and operations, and build skills in emerging data and platform tooling.

What makes you stand out

We're looking for a hands-on Data Engineer who builds and runs production-grade pipelines and data models, working AI-first alongside a collaborative team and external data and AI partner.

• Build and maintain ingestion pipelines, databases and curated datasets to production standards
• Monitor, troubleshoot and resolve pipeline and data issues day to day
• Build AI semantics and unstructured-data pipelines feeding BI and AI use cases
• Use AI-assisted tooling and DataOps automation to accelerate delivery
• Participate in code review and uphold technical standards
• 4-5 years delivering production pipelines and data models in a data engineering role
• Strong SQL, Python and cloud data warehouse experience (Snowflake or comparable)
• Data engineer or analytics engineer who has built and supported production pipelines on a cloud data platform; exposure to modern analytics engineering tooling (dbt) and, ideally, engineering data for AI/GenAI consumption.Degree in a technical field or equivalent experience

What makes us stand out

• Enjoy flexible working arrangements and generous leave options.
• Experience market-leading parental leave benefits including 22 weeks paid leave for either carer and childcare allowance once you return to work.
• Embrace diverse and challenging career opportunities, supported by our dedicated Learning & Development Team committed to your growth.
• Engage in comprehensive Wellbeing programs and benefit from market-leading policies and support tailored to diverse needs.
• Be recognised by peers through nomination awards and take part in our generous Employee Referral Program.

We know the power of a great experience

• Ranked 4th in the 2025 Gender Equality Global Report released by Equileap.
• Placed 1st of real estate investment trusts in the S&P Global Corporate Sustainability Assessment 2025 Yearbook.
• Earned a Gold ranking in Australian Workplace Equality Index (AWEI) for LGBTQIA+ inclusion.
• Awarded our fifth consecutive Employer of Choice for Gender Equality citation from the Workplace Gender Equality Agency (WGEA) in 2023-2025.
• Committed to our second Stretch Reconciliation Action Plan (RAP).

GPT offers an inclusive workplace culture and embraces people with diverse perspectives, skills and backgrounds. We welcome applications from First Nations candidates, members of the LGBTQIA+ community, people living with disability and people of diverse ages, cultures and backgrounds.