Data Engineer

Retained; City of Brisbane; Hybrid; AUD 113,652 - 161,868; Full time

Job summary

A leading recruitment firm is seeking a Data Engineer in Brisbane for a large-scale data uplift project. The ideal candidate has 3+ years of experience in data integration and pipeline design, with strong skills in SQL, Python, and Azure services. The role offers a competitive pay rate of A$100.00/hr, with an initial contract until October 2026. You will work onsite three days a week and have the option for two days of remote work. Send your resume to apply.

Qualifications

• Minimum 3+ years’ experience designing and implementing data pipelines in complex environments.
• Experience with version control tools like Git and Azure DevOps is required.
• Strong documentation and communication skills are essential.

Responsibilities

• Design and implement data pipelines and integrations in complex enterprise environments.
• Lead data integration and migration processes including validation and reconciliation.
• Collaborate with business and technical stakeholders.

Skills

SQL

Python

PySpark

Documentation skills

Communication skills

Tools

Azure Data Lake

Databricks

Boomi

Kafka

Git

Azure DevOps

Job description

Overview

Our Client in the Education sector is looking for a Data Engineer to join them on a large data uplift project.

Base pay range: A$100.00/hr - A$100.00/hr

Initial contract until October 2026 with a strong chance of extension. Rate guidance is around $1000 inc super. 3 days on site & 2 days WFH p/w.

Responsibilities

• Design and implement data pipelines and integrations in complex enterprise environments.
• Hands‑on work with Azure Data Lake, Databricks, DBT Cloud, Postgres, and Dataverse.
• Lead data integration and migration processes, including transformation optimisation, validation, and reconciliation.
• Develop and support integrations using Boomi and Kafka.
• Collaborate with business and technical stakeholders, including Enterprise Architecture, Information Security, and Governance Groups.

Qualifications

• Minimum 3+ years’ experience designing and implementing data pipelines and integrations in complex enterprise environments.
• Proficiency in SQL, Python, and PySpark for analytics and operational systems.
• Experience with version control tools such as Git or Azure DevOps.
• Strong documentation, communication, and presentation skills for diverse audiences.
• Experience working in Agile or hybrid delivery environments.

Nice to Have

• Experience with metadata and governance platforms (e.g., Alation, Collibra, Purview).
• Knowledge of API‑based data exchange patterns relevant to modern data integrations.
• Familiarity with data governance frameworks and implementation of data quality processes.
• Experience embedding change management and version control of data pipelines in large‑scale migration programs.
• Exposure to incident response and operational support practices.

Apply

If this role is of interest, please apply or send your resume to [e-mail].