Job Overview

Location: Sydney

Note: Dependent visa with full work permit OR any visa with unlimited work rights are eligible

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, 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 current tools, frameworks, and techniques to enhance engineering capability.
Identify opportunities to automate and streamline workflows.

Key Skills & Experience
Proficient in SQL for data wrangling, transformation,



and analysis.
Solid programming skills in Python, Scala, or Java.
Experience building ETL/ELT pipelines in cloud or distributed settings.
Familiarity with cloud platforms and services.
Knowledge of data modeling concepts.
Experience with data orchestration tools.
Familiar with version control and CI/CD pipelines.
Understanding of data quality, validation, and observability practices.
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.

Qualifications & Experience
4 years of experience 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.
Experience working with real‑time or near real‑time datasets.

Seniority level
Mid‑Senior level

Employment type
Contract

Job function
Information Technology

Industries
IT Services and IT Consulting
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📌 Senior Data Engineer New South Wales
🏢 RESOURCE CORNER
📍 New South Wales