In-Demand Databricks application engineer Jobs in Sydney, Nsw

Databricks Application Engineer
Showtime Consulting —Sydney NSW
- Full-time
- DevOps
- SQL
- Analysis skills
Quick Apply
Data Engineer
Virgin Australia —Sydney NSW
- Full-time
- Remote
- Azure
- SQL
- AWS
- Work from home
- Employee assistance program
Junior Database Administrator
Deloitte —Sydney NSW
- Hybrid work
- Azure
- Patient monitoring
- Administrative experience
- Parental leave
Senior Data Engineer - Product
Domain Group —Pyrmont NSW
- Computer Science
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Senior Data Engineer
Anglicare —Macquarie Park NSW
- Full-time
- Azure
- DevOps
- Machine learning
- Employee assistance program
5d
Senior Data Engineer - Product
CoStar Group —Sydney NSW
- Full-time
- Computer Science
- Engineering
- SQL
Senior Product Data Engineer
Gridsight —Sydney NSW
- Full-time
- Hybrid work
- AWS
Quick Apply
Senior/Principal Forward Deployed Engineer
Salesforce —Sydney NSW
- Full-time
- Computer Science
- Salesforce
- DevOps
Senior Data & AI Engineer
Showtime Consulting —Sydney NSW
- Full-time
- Azure
- Computer Science
- Master's degree
Quick Apply
4d
Lead Data QA Automation Engineer / QA Architect
Cognizant —Sydney NSW
- $100,000 a year
- Full-time
- Hybrid work
- Azure
- Engineering
- SQL
11d
Senior Data Engineer
Nuix —Sydney NSW
- Hybrid work
- Salesforce
- DevOps
- SQL
10d
Software Engineer â€“ Data & AI Platforms - Financial Markets
The Argyle Network —Sydney NSW
- $140,000 a year
- Full-time
- Azure
- Master's degree
- AWS
Databricks Engineer
Accenture —Sydney NSW
- Full-time
- Azure
- Management
- DevOps
- On-the-job training
- Parental leave
Data Engineer
Optus —Sydney NSW
- SQL
- Parental leave
- Employee discount
1d
Application Security Engineer
Endeavour Group —Sydney NSW
- Full-time
- Hybrid work
- Azure
- Scripting
- Agile
14d
Senior Consultant, Sydney
Practiv —Sydney NSW
- Full-time
- Hybrid work
- DevOps
- SQL
- AI
Quick Apply
Azure/Databricks Cloud Architect
Pyramid Global Technologies —Sydney NSW
- Azure
- Computer Science
- Data analysis skills
Senior Manager, Data Analytics Consulting
EPAM Systems, Inc. —Sydney NSW
- Azure
- AWS
- Machine learning
Staff AI Platform Engineer
Relevance AI —Sydney NSW
- Full-time
- Hybrid work
- AWS
- AI
- Parental leave
- Employee assistance program
Staff Designated Support Engineer
Databricks —Sydney NSW
- Azure
- SQL
- AWS
9d

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Databricks Application Engineer

Showtime Consulting -
Sydney NSW

Quick Apply

Job Details

Full-time

Qualifications

CI/CD
Authentication
RESTful API
DevOps
Application development
SQL
Analysis skills
Cloud development
REST
Software development
APIs
Agile
Communication skills
SDLC

Full Job Description

Build Databricks pipelines with Lakeflow, Python and SQL
Develop web apps and REST APIs integrated with Databricks
Support CI/CD, DevOps, data quality and platform reliability

Company Description
Showtime Consulting is a leading provider of Shielded Cloud and Digital Solutions across Australia and New Zealand. We specialise in delivering secure, enterprise-scale technology solutions across cloud, infrastructure, cybersecurity, DevSecOps, software engineering, data, and digital transformation programs.

We partner with government and enterprise organisations to build high-performing technology teams that deliver secure, resilient, and scalable solutions within complex and highly regulated environments.

The Role
We are seeking an experienced Databricks Application Engineer to join a Sydney-based team supporting the development of modern data and application platform capabilities.

This role will suit a hands-on engineer with experience across both data engineering and software development. You will support the transition from traditional data archival initiatives toward scalable Databricks-based application and platform solutions. Working closely with business and technology stakeholders, you will design, develop, and maintain data pipelines, application integrations, and modern platform services that support innovative business outcomes.

Key Responsibilities

Design, build, and maintain scalable data pipelines using the Databricks platform.
Develop and support data ingestion, transformation, and orchestration frameworks.
Build and manage solutions using 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.
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 authorisation mechanisms.
Contribute to application design, development, testing, deployment, and support activities.
Support CI/CD pipelines and promote DevOps best practices across projects.
Develop scalable and maintainable solutions aligned to enterprise architecture standards.
Work closely with business stakeholders to translate requirements into technical solutions.
Troubleshoot and resolve complex technical issues across data, platform, and application layers.

What You'll Need

Experience across data engineering and software engineering.
Hands-on experience with the Databricks native platform.
Strong experience with Lakeflow Connect and Lakeflow Pipelines.
Experience building data ingestion, transformation, and orchestration frameworks.
Strong Python and SQL development skills.
Solid understanding of modern web application architecture.
Experience designing, developing, and integrating REST APIs.
Strong understanding of API security, authentication, and authorisation concepts.
Experience working across the full software development lifecycle.
Familiarity with CI/CD practices and DevOps methodologies.
Strong analytical, troubleshooting, and problem-solving skills.
Ability to work collaboratively with business and technology stakeholders.
Experience developing Databricks Apps is highly regarded.
Cloud-native application development experience is advantageous.
Knowledge of enterprise integration patterns and distributed systems is highly desirable.
Experience working within Agile delivery environments will be highly regarded.
Strong stakeholder engagement, communication, and collaboration skills.

Why Join Us?

Work on modern Databricks-based data and application platforms.
Build scalable solutions across data engineering and software development.
Gain exposure to Lakeflow, cloud-native applications, APIs, and enterprise integrations.
Collaborate with experienced architecture, platform, and delivery teams.
Contribute to technology roadmap initiatives and future-ready platform capability.
Join a consulting culture focused on innovation, technical excellence, and continuous improvement.

Quick Apply

Refine Your Search

databricks application engineer jobs in sydney, nsw

Databricks Application Engineer

Data Engineer

Junior Database Administrator

Senior Data Engineer - Product

Senior Data Engineer

Senior Data Engineer - Product

Senior Product Data Engineer

Senior/Principal Forward Deployed Engineer

Senior Data & AI Engineer

Lead Data QA Automation Engineer / QA Architect

Senior Data Engineer

Software Engineer â€“ Data & AI Platforms - Financial Markets

Databricks Engineer

Data Engineer

Application Security Engineer

Senior Consultant, Sydney

Azure/Databricks Cloud Architect

Senior Manager, Data Analytics Consulting

Staff AI Platform Engineer

Staff Designated Support Engineer

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