Data Engineer: AI & Automation Pipelines (Azure)

Harvey Norman; Sydney; On-site; AUD 120,000 - 170,000; Full time

Benefits offered by this job

Salary packaging

Parental leave

Fitness passport

Udemy access

Career progression

Brand experience

Discounts

Job summary

Harvey Norman in Australia is seeking a skilled Data Engineer to design, build and maintain reliable data pipelines, datasets and integration solutions that support AI, automation and Modern Workplace initiatives. You will collaborate with product, engineering and business teams to create governed data foundations that enable scalable technology outcomes.

You will bring expertise in data engineering, data integration and governance, with practical experience in Azure data services, SQL and APIs

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 solutions.
• Strong knowledge of data engineering, 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

ETL/ELT concepts

CI/CD

Problem solving

Tools

Azure data services

SQL

APIs

Programming / scripting

Job description

Harvey Norman in Australia is seeking a skilled Data Engineer to design, build and maintain reliable data pipelines, datasets and integration solutions that support AI, automation and Modern Workplace initiatives. You will collaborate with product, engineering and business teams to create governed data foundations that enable scalable technology outcomes.

You will bring expertise in data engineering, data integration and governance, with practical experience in Azure data services, SQL and APIs