Role : Data Engineer - Databricks, AI

Type of role - Permanent Position

Location : Sydney, Australia

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We are seeking a skilled Data Engineer / Databricks Application Engineer to support our evolving technology roadmap as we transition from traditional data archival initiatives toward building modern platform capabilities and Databricks-based application solutions.

This role will play a key part in designing, developing, and maintaining scalable data and application platforms, enabling the delivery of innovative business solutions. The ideal candidate will have strong experience in Databricks, data engineering, software development, and enterprise integrations, with the ability to work closely with stakeholders across business and technology teams.

Key Responsibilities

Data Engineering

Design, build, and maintain data pipelines using the Databricks native platform.

Develop and support data ingestion, transformation, and orchestration frameworks.

Build and manage solutions leveraging Lakeflow Connect and Lakeflow Pipelines.

Develop scalable data processing solutions using Python and SQL.

Ensure data quality, reliability, and performance across batch and near real-time workloads.

Collaborate with architecture and platform teams to implement data governance and best practices.

Software Engineering

Design and develop modern web-based applications integrated with Databricks platforms.

Build and consume REST APIs to support application and platform integrations.

Implement secure API authentication and authorization mechanisms.

Participate in application design, development, testing, deployment, and support activities.





Contribute to CI/CD pipelines and promote DevOps best practices across projects.

Platform & Integration

Support enterprise integration requirements across multiple systems and platforms.

Develop scalable, maintainable solutions aligned with enterprise architecture standards.

Work closely with business stakeholders to understand requirements and translate them into technical solutions.

Troubleshoot and resolve complex technical issues while ensuring high system availability and performance.

Required Skills & Experience

Essential

4+ years of experience in Data Engineering and Software Engineering.

Hands-on experience with the Databricks Native Platform.

Robust experience with:

Lakeflow Connect

Lakeflow Pipelines

Data ingestion, transformation, and orchestration frameworks

Proficiency in Python and SQL.

Solid understanding of modern web application architecture.

Experience with REST API design, development, and integration.

Strong knowledge of API security and authentication concepts.

Experience working across the Software Development Lifecycle (SDLC).

Familiarity with CI/CD practices and DevOps methodologies.

Strong analytical, troubleshooting, and problem-solving skills.

What We're Looking For

You are a hands-on engineer who enjoys working across both data and application layers. You can design scalable data pipelines, build modern applications, and collaborate effectively with stakeholders to deliver business outcomes. You thrive in a fast-paced environment and are passionate about leveraging Databricks technologies to create innovative, future-ready solutions

Interested candidate can share share their resume at [email protected] or call me on +61 283195529

📌 Data Engineer - Databricks, AI (Sydney)
🏢 CareCone Group
📍 Sydney