Senior Data Engineer

Investa Property Group; Sydney; On-site; AUD 140,000 - 180,000; Full time

Benefits offered by this job

Career development

Flexible work options

Parental leave

Inclusive culture

Health and wellness

Financial benefits

Job summary

Investa Property Group in Sydney seeks a Senior Data Engineer to design and maintain modern data pipelines and AI-enabled solutions. You’ll leverage Azure Databricks, Delta Lake and Power BI to deliver analytics-ready datasets for reporting and insights.

Join a collaborative team focused on governance, security and scalable data platforms while exploring AI-assisted tools to streamline processes and unlock opportunities across the organisation.

Qualifications

• 3+ years building and supporting production data pipelines (Databricks or Apache Spark preferred).
• Strong SQL and Python/PySpark with data modelling, lakehouse concepts and data quality practices.
• Experience with Delta Lake, data orchestration and scalable data solutions.
• Practical experience developing AI-assisted applications, including APIs and AI agents/tools.
• Confidence using AI coding assistants with judgment to review, test and validate output.
• Understanding of data governance, privacy and information security principles.
• Working knowledge of Git, CI/CD and Azure cloud fundamentals.
• Excellent communication to explain technical concepts to non-technical stakeholders.

Responsibilities

• Design, build and maintain data pipelines with Azure Databricks, Delta Lake and orchestration tools.
• Develop analytics-ready datasets to support reporting, Power BI, insights and AI use cases.
• Build AI-assisted applications and tools, including document and lease data extraction and internal apps.
• Use AI coding assistants to accelerate development while maintaining quality and security.
• Apply data governance, access controls and data quality checks to ensure trusted data.
• Monitor and support data platforms in production; improve performance and reliability.
• Collaborate with IT, Cyber, Transformation, Asset Management, Leasing, Finance and Sustainability teams.
• Help build data literacy by enabling employees to use data and AI tools responsibly.

Skills

SQL

Python/PySpark

Data modelling

Lakehouse architecture

Data governance

AI applications

CI/CD

Communication

Education

Degree in Computer Science / Data Engineering or related field

Tools

Azure Databricks

Delta Lake

Power BI

APIs

Git

CI/CD

Azure cloud fundamentals

Job description

Here at Investa, we’re all about creating spaces that reflect how people work, live, and thrive today—and how they’ll want to do so in the future. For over 20 years, we’ve led the way in making positive change in Australia’s workplaces. We’re an Australian diversified real estate company with a recognised track record of investment and development across both office and living markets. Our purpose is to welcome the world to better places. We’re people first and entrepreneurial, with a strong service ethos.

Why join us?

We’ve made it our business to understand how people want to live and work today, tomorrow and beyond, and as you’d expect, we practise what we preach in our own workplace as well. We’re known for our supportive, inclusive and flexible work culture. With recognition from the Workplace Gender Equality Agency, the Australian Workplace Equality Index, and multiple awards for workplace flexibility, our people and the way we work together are our difference.

We’re looking for a motivated and curious Senior Data Engineer to join our team in Sydney on a 12-month max-term contract. This is an opportunity to play a key role in shaping how Investa uses data and AI to make better decisions, streamline processes and uncover new opportunities. You’ll build and maintain modern data pipelines and platforms using Azure Databricks, while exploring AI-assisted applications and tools that help our people work smarter. If you enjoy combining strong data engineering fundamentals with emerging AI technologies, this could be the role for you.

Your key responsibilities:

Design, build and maintain reliable data pipelines using Azure Databricks, Delta Lake and modern data orchestration tools.

Develop high-quality, analytics-ready datasets to support reporting, Power BI, business insights and AI use cases.

Build AI-assisted applications and tools, including document and lease data extraction, internal applications and natural-language access to data.

Use AI coding assistants, such as Claude Code, to accelerate development, testing, documentation and problem-solving while maintaining quality and security.

Apply data governance, access controls, data quality checks and security standards to ensure data is trusted, protected and fit for purpose.

Monitor and support data platforms and applications in production, troubleshooting issues and continually improving performance, reliability and user experience.

Optimise platform performance and costs, and contribute to CI/CD, deployment processes and development environments.

Partner with teams across IT, Cyber, Transformation, Asset Management, Leasing, Finance and Sustainability to translate business needs into practical data and AI solutions.

Help build data literacy across Investa by supporting and enabling employees to use data and AI tools confidently and responsibly.

What you bring:

A degree in Computer Science, Data Engineering, Engineering or a related discipline, or equivalent practical experience.

At least three years' experience building and supporting production data pipelines, ideally using Databricks or Apache Spark.

Strong SQL and Python/PySpark skills, with a solid understanding of data modelling, lakehouse architecture and data quality practices.

Experience with Delta Lake, data orchestration and building reliable, scalable data solutions.

Practical experience developing LLM-powered or AI-assisted applications, including working with APIs, prompt design and AI agents or tools.

A confident approach to using AI coding assistants to work efficiently, with the judgement to review, test and validate their output.

An understanding of data governance, responsible AI, privacy and information security principles.

Working knowledge of Git, CI/CD and Azure cloud fundamentals.

Strong communication skills, with the ability to explain technical concepts and solutions to non-technical stakeholders.

A proactive, detail-oriented and curious mindset, with a willingness to take ownership from initial development through to ongoing support.

Experience with Power BI, semantic modelling or Databricks certification will be highly regarded. Knowledge of the commercial property sector is also beneficial, but not essential.

What we offer:

• Career Development: Leadership programs, education assistance, study support and professional membership fee support.
• Lifestyle: Generous parental leave, a return-to-work program and summer hours.
• Inclusive Culture: A safe, welcoming environment for all, including individuals from Aboriginal and Torres Strait Islander communities, the LGBTQ+ community and those who are neurodivergent.
• Flexibility: We do our best to support you to do the things that are important to you. We offer over 21 formal flexible work options, plus a truly supportive approach to balancing work with life's priorities.
• Health and Wellness: Discounted health insurance, free health and wellbeing services, discounted fitness classes and reproductive health benefits.
• Financial: Fully funded life and TPD insurance, novated leasing and retail discounts.

We encourage people of all backgrounds to apply. Even if you don’t meet all the criteria, we’d love to hear from you.