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 new 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 environments.
- 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