Data Engineer @ Ascend Talent Partners (ANZ)
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Job Details
Introduction
Ascend Talent Partners is partnering exclusively with a high-growth Australian tech company that is transforming the investment property experience. They are building a next-generation platform powered by AI, clean design, and powerful data, helping renters, investors, and property managers thrive. This Data Engineer role is a foundational hire on the Data & Analytics team and offers the chance to work across product, engineering, and customer teams to bring powerful insights to life.
About the Role
The Data Engineer will:
- Integrate the company’s data stack with both mobile and web platforms
- Build meaningful dashboards and reports for internal teams and external users
- Develop AI-powered insights that elevate the end-user experience
- Take ownership of data tooling and shape the future of analytics
This role is ideal for an engineer passionate about clean code, robust data models, and high-impact scalable products.
Technology Stack
The role involves working with:
- Backend development: Node.js, TypeScript, SQL
- Cloud platforms: AWS
- Databases: PostgreSQL, Redshift (or BigQuery, Snowflake)
- Data tools: dbt, Cube.js, Dagster (or similar)
- Version control: Git
- CI/CD: Buildkite or similar
- Architecture: Microservices, GraphQL
Candidate Profile
The ideal candidate brings a strong engineering background with commercial software development experience, proficiency in multiple programming languages, deep SQL and data modeling skills, and an aptitude for solving complex problems through data-driven thinking. A passion for clean, production-ready solutions and operational scalability is essential.
Key skills/competency
Data Engineering, AI, SQL, Node.js, TypeScript, AWS, PostgreSQL, CI/CD, Data Modeling, Microservices
How to Get Hired at Ascend Talent Partners (ANZ)
🎯 Tips for Getting Hired
- Research Ascend Talent Partners: Learn about company values and tech projects.
- Customize your resume: Highlight your data engineering expertise.
- Showcase project results: Share quantifiable impact examples.
- Prepare for technical interviews: Study Node.js, SQL, and AWS.
- Follow up professionally: Connect via LinkedIn and email.