Senior Lead Data Innovator

About REA Group:

Founded in 1995 in Melbourne, Australia, a company was born with a vision to revolutionize the property experience.

We've come a long way since then, growing into a market leader in online real estate across three continents. Our secret to success lies in our commitment to innovation, ambition, and curiosity. We're dedicated to accelerating global technology delivery through relentless innovation.

The Tech Centre in Cyber City is focused on developing leading property and market data insights to power Real Commercial products. This team sits within the Real Commercial tribe, a premier platform for commercial property and data in Australia.

We're seeking an experienced Senior Lead Engineer (7-10 years' experience) who thrives in a collaborative environment, enjoys tackling technical challenges, and leads teams to deliver innovative solutions.

• This role has key strategic importance and visibility within the business.
• You'll collaborate closely with cross-functional teams across the globe, leading the design, development, and optimization of features to ensure high-quality, scalable solutions that deliver exceptional user experiences.

Your typical responsibilities will include:

• Leading or significantly contributing to initiatives with strategic focus and value
• Solving deep, complex technical problems in ways that enable other team members to learn and extend
• Supporting the Engineering Manager/Tech Lead in setting the technical direction
• Providing technical mentoring and guidance to less experienced members of the team
• Supporting and driving continuous improvement of our production systems and being an advocate for the overall health of our systems
• Working with stakeholders to design high quality solutions that meet the needs of our users, including vendor platforms
• Writing, testing and documenting code according to REA Engineering standards and practices

We are looking for someone with:

• Well-versed in SQL, Python, ETL / ELT pipelines
• Experience with Data modelling
• Experience with Data pipelines
• Experience with Data consumption
• Experience with Data analysis and documentation
• Experience with Data warehousing
• Advanced skills in designing solutions that scale and perform for millions of users.
• Advanced skills in developing long-term system architecture strategies.
• Experience with modern software development techniques (e.g. functional programming, microservice architecture, test-driven development and CI/CD)
• Able to communicate and collaborate effectively with business stakeholders.
• Able to understand business, customer and consumer needs to provide appropriate data solutions.
• Able to mentor other engineers in a collaborative agile team environment.
• Someone passionate about data and the latest data technologies.
• Good awareness of TDD, CI/CD approaches and tools.

Bonus Points for:

• Experience Big Query / PostgreSQL / MSSQL, Python libraries (Pandas, Requests, JSON), Docker, Kafka, Linux shell scripting, Git / GitHub, AWS (S3, Lambda, IaC), Airflow, Interacting with REST APIs

We offer:

• A hybrid and flexible approach to working.
• Transport options to help you get to and from work, including home pick-up and drop-off.
• Meals provided on site in our office.
• Flexible leave options including parental leave, family care leave and celebration leave.
• Insurances for you and your immediate family members.
• Programs to support mental, emotional, financial and physical health & wellbeing.
• Continuous learning and development opportunities to further your technical expertise.

Our values:

We live by these core values, which guide how we operate, treat each other, and make decisions. We believe that how we work is equally important as what we do to achieve our goals.

We commit to Diversity, Equity, and Inclusion:

We strive to create a working environment that embraces diversity, equity, and inclusion. We believe that diverse ideas and experiences lead to creativity, effectiveness, and disruptive thinking - be it cultural and ethnic backgrounds, gender identity, disability, age, sexual orientation, or any other identity or lived experience.