Senior Data & AI Engineer

CareCone Group; Sydney; On-site; AUD 150,000 - 230,000; Full time

Job summary

CareCone Group is seeking a Senior hands-on Data & AI Engineer in Sydney to bridge data engineering and AI engineering, delivering real-world AI and data solutions at scale. You will write production-quality code, build platforms, and integrate AI agents with enterprise systems.

As a technical leader, you will mentor others, uplift AI engineering capabilities, and collaborate with data scientists while ensuring robust CI/CD, monitoring, and governance across cloud data and AI platforms.

Qualifications

• Senior, hands-on data & AI engineer with real-world deployments.
• Strong Python and SQL, with production-grade coding experience.
• Experience delivering enterprise-scale data/AI solutions.

Responsibilities

• Bridge data engineering and AI engineering across projects.
• Deliver end-to-end AI solutions from concept to production.
• Mentor engineers and uplift AI capabilities within teams.

Skills

Python

SQL

Cloud platforms

Data engineering

AI engineering

Mentoring

Tools

Databricks

Spark

CI/CD

Infrastructure as Code

Monitoring

Security

Governance

Responsible AI

Job description

Senior hands on engineer responsible for bridging data engineering, and AI engineering.

Has delivered end to end AI solutions from concept and design through production deployment and business outcomes.

Builds the data foundations, pipelines, integrations, and production platforms required for AI and agentic solutions.

Provides technical leadership and helps uplift data engineers into AI engineering capabilities.

Ideal Candidate Profile

A senior, hands on Data & AI Engineer who has already delivered real world AI and data solutions at scale, can write production quality code, build and operate platforms, integrate AI agents with enterprise systems, collaborate with data scientists, and mentor others to grow AI engineering capability across the organization.

Strong hands on experience in:

• Software Engineering
• Machine Learning Engineering
• Proven delivery of enterprise scale data or AI solutions from concept to production.
• Strong Python and SQL skills.

Experience with:

• Expertise in cloud data and AI platforms.
• Experience with Spark, Databricks, or similar technologies.
• Strong knowledge of CI/CD, infrastructure as code, monitoring, security, governance, and responsible AI.
• Experience mentoring and leading engineering teams.

Note- Must have valid Australian work Authorization.