Data Engineer: AI-Driven Data Pipelines & Governance

Harvey Norman; Strathfield; On-site; AUD 120,000 - 150,000; Full time

Benefits offered by this job

Salary packaging

Parental leave

Fitness passport

Udemy access

Career progression

Brand globally

Work-life balance

Discounted purchases

Job summary

Harvey Norman is seeking a skilled Data Engineer to design, build and maintain reliable data pipelines and integration solutions at Homebush West. You will enable AI, Copilot and intelligent automation by delivering governed, scalable data foundations in collaboration with product, engineering and business teams.

You will implement data quality, metadata, privacy and security practices, work with APIs and Power Platform, and contribute to operational excellence and documentation.

Qualifications

• Demonstrated experience in data engineering, data integration, analytics engineering or enterprise data delivery.
• Experience designing and supporting data pipelines, transformations, datasets and controlled access.
• Strong knowledge of data modelling, database and warehouse design, systems integration and data quality.
• Practical experience with Microsoft Azure data services, SQL, databases, APIs and programming or scripting.
• Understanding of ETL/ELT concepts, automated testing, source control, CI/CD and DevOps practices.
• Knowledge of data governance, privacy, security, access control, metadata and lineage.
• Strong problem-solving, documentation, communication and stakeholder engagement skills.
• Experience supporting AI, automation, analytics or enterprise applications will be highly regarded.

Responsibilities

• Design, build and maintain reliable data pipelines, datasets and integration solutions.
• Manage data ingestion, transformation, validation, enrichment and controlled access.
• Develop data solutions that support AI, Copilot, analytics and intelligent automation use cases.
• Collaborate with Product Owners, developers, solution engineers and business stakeholders to understand data requirements.
• Implement appropriate data quality, governance, metadata, lineage, privacy and security practices.
• Integrate data pipelines with applications, APIs, Power Platform and automation services.
• Monitor data services and investigate performance, quality and production issues.
• Maintain technical documentation, operational procedures, alerts and support runbooks.
• Identify opportunities to automate, standardise and improve data engineering practices.

Skills

Data engineering

Data integration

Analytics engineering

Enterprise data delivery

SQL databases

Azure data services

ETL/ELT concepts

CI/CD & DevOps

Data governance & privacy

Stakeholder engagement

Problem solving

Tools

APIs

Power Platform

Azure Data Factory

Job description

Harvey Norman is seeking a skilled Data Engineer to design, build and maintain reliable data pipelines and integration solutions at Homebush West. You will enable AI, Copilot and intelligent automation by delivering governed, scalable data foundations in collaboration with product, engineering and business teams.

You will implement data quality, metadata, privacy and security practices, work with APIs and Power Platform, and contribute to operational excellence and documentation.