Data Engineer

Company Overview

The GPT Group is among Australia’s largest property groups, managing assets valued at $38.9 billion. The company emphasizes delivering sustainable returns by prioritizing excellent customer experiences and making a positive impact on people, place, and the planet. Their culture promotes wellbeing, flexibility, and employee opportunity.

Role Summary

We are seeking a proactive Data Engineer to join our Data & Analytics team based in Sydney. Reporting to the Data Engineering Manager, you will be responsible for developing, maintaining, and operating data ingestion pipelines, databases, and curated datasets on which the business relies. This build-and-run role involves creating new data workflows, ensuring smooth daily operations, and troubleshooting data issues as they arise. You will work with AI-first methodologies, leveraging AI-assisted tools to enhance delivery, support AI team pipelines, and collaborate closely with external data and AI partners.

Key Responsibilities

• Design and maintain data ingestion pipelines for both structured and unstructured data, ensuring reliable and scalable data availability.
• Develop and support components of the data platform including Snowflake, databases, and auxiliary tools according to established standards and architecture.
• Monitor data pipelines for performance, reliability, and cost efficiency; promptly resolve issues or escalate as necessary.
• Contribute to analytic engineering efforts by creating well-modeled, curated datasets supporting reporting and data products.
• Build data foundations for AI applications, including semantic layers and unstructured data pipelines.
• Adhere to prescribed engineering standards and practices, including code reviews and technical guidelines.
• Utilize AI-driven engineering and DataOps automation to accelerate both delivery and operational processes while advancing technical skills.

Candidate Profile

• 4 to 5 years of experience in data engineering with a focus on production-grade pipelines and data models.
• Proficiency in SQL and Python coupled with experience using cloud data warehouse technologies like Snowflake or equivalents.
• Experience building and maintaining production data pipelines on cloud platforms and familiarity with modern analytics engineering tools such as dbt.
• Understanding of engineering data for AI and generative AI consumption is highly desirable.
• A degree in a technical discipline or equivalent practical experience.

Why Join Us

• Flexible work arrangements and extensive leave options.
• Robust parental leave offering including 22 weeks paid leave plus a childcare allowance post-return.
• Opportunities for career advancement through diverse roles supported by a dedicated Learning & Development team.
• Comprehensive wellbeing initiatives and market-leading policies to support diverse employee needs.
• Employee recognition programs and a generous referral scheme.

Our Commitment to Diversity and Inclusion

We maintain an inclusive culture welcoming diverse backgrounds and perspectives, inviting applications from First Nations peoples, LGBTQIA+ community members, persons with disabilities, and individuals of varied cultures, ages, and experiences.

Accolades

• Ranked 4th in the 2025 Gender Equality Global Report by Equileap.
• Top-ranked real estate investment trust in the S&P Global Corporate Sustainability Assessment 2025.
• Gold status in the Australian Workplace Equality Index (AWEI) for LGBTQIA+ inclusion.
• Employer of Choice for Gender Equality recognition for five consecutive years (2023-2025).
• Accredited Family Inclusive Workplace™ and committed to a Stretch Reconciliation Action Plan.

Application Process

If this role aligns with your experience and aspirations, we encourage you to apply and become part of our collaborative, forward-thinking team.