
Data Engineering Leader
7 days ago
About Us:
We're on a mission to revolutionize the way people experience property.
In 1995, our journey began in a small garage in Melbourne, Australia. Since then, we've grown into a market leader in online real estate across three continents.
Our Tech Center in Cyber City is dedicated to accelerating our global technology delivery through relentless innovation.
We're looking for talented technologists to join us on this exciting new journey.
The RoleThis is a senior leadership position within our Commercial Data team. As an Engineering Manager, you'll be responsible for leading a team of engineers to develop innovative solutions that power our Real Commercial products.
Your typical responsibilities will include:
- Leading cross-disciplinary teams to deliver complex initiatives under agile methodologies.
- Providing technical guidance and mentorship to junior engineers.
- Contributing to the design and architecture of scalable, efficient, and secure data solutions.
- Establishing effective ways of working within and across teams.
- Embracing continuous learning and staying updated on the latest web development trends.
You'll have the opportunity to work on high-profile projects, collaborate with global teams, and drive delivery practices that ensure timely and quality results.
What We're Looking ForWe're seeking an experienced developer who thrives in a collaborative environment, enjoys tackling technical challenges, and has a passion for leading teams to deliver innovative solutions.
- A minimum of 8 years' experience in software development, preferably in a leadership role.
- Strong technical skills, including SQL, Python, ETL/ELT pipelines, data modeling, data pipelines, data consumption, data analysis, and documentation.
- Proven track record of delivering high-quality solutions that scale and perform well under pressure.
- Excellent communication and leadership skills, with the ability to foster a culture of continuous learning and knowledge sharing.
Bonus points if you have experience with BigQuery/PostgreSQL/MSSQL, Python libraries (Pandas, Requests, JSON), Docker, Kafka, Linux shell scripting, Git/GitHub, AWS (S3, Lambda, IaC), Airflow, and interacting with REST APIs.
What We OfferWe provide a hybrid and flexible approach to working, meals on site, flexible leave options, insurance for you and your family members, programs to support mental, emotional, financial, and physical health & wellbeing, and continuous learning and development opportunities.
We're committed to providing a working environment that values diversity, equity, and inclusion.
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