Data Engineer

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

As Australia’s largest retailer of lifestyle products, with nearly 300 stores worldwide, Harvey Norman® has been a part of almost every Australian’s shopping experience. Whether getting the latest electronic gadgets, or furnishing your first home, Harvey Norman® is the place where you can shop with confidence.

About the role

In this role, you will design, build and maintain reliable data pipelines, datasets and integration solutions that support AI, intelligent automation and Modern Workplace initiatives. Working closely with product, engineering and business teams, you will create secure, governed and reusable data foundations that enable scalable technology outcomes.

You will;

• 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.

About You

You are a skilled Data Engineer who enjoys solving complex problems and creating reliable, scalable data solutions. You bring strong technical capability, sound judgement and the ability to work collaboratively across business, product and technology teams

You will bring:

• 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

This opportunity will provide:

• Salary packaging and novated leasing options for eligible employees.
• Company paid parental leave for eligible employees.
• Access to fitness passport.
• Access to Udemy an online training platform with over 5,500 courses.
• Professional development and career progression.
• Experience working with an Iconic Australian Brand with global success in NZ, Asia, and Europe.
• A supportive team environment that celebrates diversity and promotes a healthy work and family life balance.
• Opportunities to make discounted purchases on a great range of products and services.

Please note that only people with the right to work in Australia should apply for this position.