Description:

Canibuild automates the residential construction industry’s design, approval, and sales processes, allowing clients to answer 'Can I build this on this plot of land?' instantly.
The company is a fast-growing SaaS platform backed by Australia’s largest hedge fund, serving clients across Australia, New Zealand, Canada, and the US.
The role is for a highly skilled Data Engineer / BI Engineer responsible for designing ETL/ELT pipelines, managing databases, and developing dashboards using Power BI.
The candidate will handle end-to-end data workflows, from data extraction and transformation to visualization and insights generation.
This position offers opportunities to upskill and contribute to AI-driven data initiatives, making it suitable for professionals eager to grow in a modern data ecosystem.
Key responsibilities include designing, developing, and maintaining ETL/ELT pipelines using Python, Airflow, and SQL in an AWS environment, managing and optimizing data lake and data warehouse solutions on AWS, and developing data-driven dashboards and reports in Power BI.

Requirements:

The candidate must have 4+ years of experience in data engineering, ETL/ELT pipeline development, and database management.
Strong expertise in SQL (T-SQL, MS SQL) with a focus on query optimization and database performance tuning is required.
Proficiency in Python, including data-specific libraries such as Pandas and NumPy, and experience with Airflow for ETL/ELT processes is necessary.
Experience in extracting and managing data from third-party APIs (REST, JSON) is essential.
Proven experience in designing and developing data warehouse solutions on AWS is required.
Strong expertise in Power BI for data visualization, dashboard creation, and connecting to SQL Server/PostgreSQL Aurora is necessary.
Familiarity with agile methodologies and a continuous improvement mindset is expected.
The candidate must demonstrate the ability to think critically and evaluate multiple technical solutions in the broader context of system architecture and business goals.
Excellent problem-solving skills and the ability to proactively identify and implement alternative solutions are required.
Strong communication skills and the ability to work collaboratively in a team-oriented environment are essential.
A willingness to upskill in AI-driven data solutions and contribute to AI-powered applications is necessary.

The position offers the opportunity to work with a talented team of data and AI professionals on meaningful, industry-transforming projects.
Candidates will gain hands-on experience with AI technologies and modern data engineering practices.
A competitive salary, benefits, and opportunities for growth are provided.
The company promotes a collaborative, fast-paced, and innovative culture that values initiative, ownership, and smart solutions.
Flexible remote work opportunities are available.