Job Title : Data Engineer
Location : Sydney
Mode: Permanent
Job Description: Total Expereince - 5-10years
Key Responsibilities
Design, build, and optimise batch and streaming data pipelines using approved frameworks and tooling.
Ensure pipelines are resilient, performant, and cost optimised.
Implement monitoring, alerting, and automated recovery processes.
Apply data quality checks and reconciliation processes to ensure accuracy and completeness.
Maintain metadata, lineage, and documentation to support governance requirements.
Adhere to role-based access control, data privacy, and security standards.
Contribute to the development and maintenance of ingestion frameworks, transformation layers, and data models.
Implement and maintain CI/CD pipelines for automated testing and deployment.
Optimise data storage and retrieval strategies to meet performance needs.
Work closely with Technical Leads, Data Architects, Analysts, and business stakeholders to deliver fit-for-purpose solutions.
Participate in code reviews and knowledge-sharing sessions to improve team capability.
Explore and adopt new tools, frameworks, and techniques to enhance engineering capability.
Identify opportunities to automate and streamline workflows.
Key Skills \& Experience
Technical Skills
Proficient in
SQL
for data wrangling, transformation, and analysis
Strong programming skills in
Python
,
Databricks
,
Scala
, or
Java
Experience building
ETL/ELT pipelines
in cloud or distributed environments
Familiarity with
cloud platforms
and services
Knowledge of
data modeling
concepts
Experience with
data orchestration tools,Databricks
Familiar with
version control
and CI/CD pipelines
Understanding of
data quality
, validation, and observability practices
Soft Skills \& Collaboration
Works independently with minimal supervision on well-scoped tasks
Collaborates effectively with stakeholders
Communicates clearly and documents work for others to maintain or build upon
Open to code reviews, feedback, and continuous learning
Able to troubleshoot and resolve data pipeline failures or performance issues
Experience
Typically 3–5 years in a data engineering or closely related role
Has delivered production-ready pipelines end-to-end
Demonstrated ability to improve code quality, reliability, or performance
Interested candidates can send their updated resume to Dhivya.Natarajan@carecone.com.au or reach me @ M: 61281982279