Data Engineer

UNSW Employees, Location, Alumni; Sydney; Hybrid; AUD 150,000 - 190,000; Full time

Benefits offered by this job

Monthly Lifestyle Allowance

Novated Leasing

Loyalty Leave

Inclusive Parental Leave Policy

Work From Anywhere

Job summary

Harvey Norman is seeking a Lead Data Engineer to design, build and operate reliable data platforms that turn complex data into actionable business insights. You will work across the data lifecycle, from architecture and source integration through to modelling, visualisation and reporting.

You will bring strong engineering skills in Python and SQL, with hands-on experience in Databricks, Snowflake or Microsoft Fabric, collaborating with clients and teams to deliver secure, scalable data solutions.

Qualifications

• Hands-on experience delivering production data solutions using one or more Databricks, Snowflake or Microsoft Fabric.
• Strong programming skills in Python and SQL.
• Experience designing, developing and operating data pipelines, including ETL/ELT processes, orchestration and monitoring.
• Sound understanding of data architecture and modelling techniques, including analytical and dimensional modelling.
• Experience integrating data through APIs, including authentication, error handling and reliable data exchange.

Responsibilities

• Design, build and maintain data pipelines to ingest, transform and deliver data from a range of sources, including APIs.
• Develop solutions using Databricks, Snowflake or Microsoft Fabric, selecting approaches that suit the client’s requirements and existing environment.
• Contribute to data architecture and solution design, including data storage, integration and modelling.
• Develop data models, ontologies and semantic layers that establish consistent business definitions and support analytics and reporting.
• Implement pipeline orchestration, scheduling, monitoring and operational support to keep data services reliable.
• Troubleshoot data and pipeline issues, improving performance, scalability and cost efficiency.

Skills

Python

SQL

ETL/ELT

Data modelling

Data governance

CI/CD

Git

Problem solving

Documentation

Stakeholder engagement

Tools

Databricks

Snowflake

Microsoft Fabric

Job description

• Opportunities to make discounted purchases on a great range of products
• Access to Udemy an online training platform with over 5,500 courses
• Based at Homebush West, free on-site parking or a 10 minute walk from Flemington station

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.

Recruitment Agencies– thank you for thinking of us, however we do endeavour to fill our opportunities through direct channels wherever possible. If we find that we do need agency assistance, we’ll be in touch.

Technology is our how, and people are our why. For 20-plus years we have paired world-class engineering with deep industry insight, helping global brands create intelligent digital experiences that drive meaningful change. Join us as we expand our Australian Data & AI capability and help clients unlock the full value of their data assets.

Job Description

We’re looking for a Lead Data Engineer to help our clients design, build and operate reliable data platforms that turn complex data into useful business insights.

You’ll work across the data lifecycle, from architecture and source integration through to data pipelines, semantic models, visualisation and reporting. You’ll bring strong engineering skills in Python and SQL, alongside hands‑on experience with at least one of Databricks, Snowflake or Microsoft Fabric.

Working closely with clients, analysts, data scientists and fellow engineers, you’ll translate business requirements into secure, maintainable and scalable data solutions. You’ll also provide technical guidance, contribute to design decisions and help the team strengthen its engineering practices.

What you’ll do

• Design, build and maintain data pipelines to ingest, transform and deliver data from a range of sources, including APIs.
• Develop solutions using Databricks, Snowflake or Microsoft Fabric, selecting approaches that suit the client’s requirements and existing environment.
• Contribute to data architecture and solution design, including data storage, integration and modelling.
• Develop data models, ontologies and semantic layers that establish consistent business definitions and support analytics and reporting.
• Implement pipeline orchestration, scheduling, monitoring and operational support to keep data services reliable.
• Troubleshoot data and pipeline issues, improving performance, scalability and cost efficiency.
• Apply data quality controls, automated testing and validation throughout the data lifecycle.
• Implement role-based access control and follow security best practices for data platforms and integrations.
• Apply DevOps practices to data engineering, including version control, repository management, CI/CD and automated deployment.
• Build data visualisations and reports that make information clear and useful to business users.
• Document solutions, review code and share knowledge to support maintainable delivery and continuous improvement.

Qualifications

What you’ll bring

• Hands‑on experience delivering production data solutions using one or more of Databricks, Snowflake or Microsoft Fabric.
• Strong programming skills in Python and SQL.
• Experience designing, developing and operating data pipelines, including ETL/ELT processes, orchestration and monitoring.
• A sound understanding of data architecture and modelling techniques, including analytical and dimensional modelling.
• An understanding of ontologies and semantic modelling, and how they connect data structures to business concepts.
• Practical experience optimising data processing and troubleshooting pipeline, query and platform performance.
• Experience integrating data through APIs, including authentication, error handling and reliable data exchange.
• Experience applying role‑based access control (RBAC) and data security best practices.
• Experience using Git, maintaining repositories, writing automated tests and building CI/CD workflows for data solutions.
• Experience developing data visualisations and reports.
• The ability to explain technical choices clearly, work collaboratively with business and technical stakeholders, and guide other engineers.

Useful additional experience

• PostgreSQL, SQL Server, Google BigQuery or Amazon Redshift.
• R or other programming languages.
• Relevant cloud services across Microsoft Azure, AWS or Google Cloud.
• Relevant certifications in Databricks, Snowflake or Microsoft Fabric.

Additional Information

• Flexible, hybrid working – 20 “work from anywhere” days per year on top of our hybrid policy.
• Global career pathways and non-linear progression; move between domains, disciplines or geographies.
• Continuous learning via certifications, internal academies, tech communities and funded conferences.
• Well‑being & lifestyle allowance , loyalty leave, inclusive parental leave and employee assistance programmes.
• A vibrant, inclusive culture where diverse perspectives power innovation.

Ready to drive AI‑powered transformation?

We look forward to exploring how your expertise can help our clients turn bold ideas into real‑world impact.

We value the differences that make us stronger and commit to transparent, merit‑based hiring.

Additional Local Benefits

• Monthly Lifestyle Allowance: Contribution towards health and wellbeing activities like gym memberships.
• Novated Leasing: Pre‑tax car leasing benefit for new and used cars.
• Loyalty Leave: Receive an additional day of leave on your 3rd, 4th, and 5th work anniversaries, accumulating up to a maximum of 3 extra days of leave per year.
• Inclusive Parental Leave Policy: 12 weeks of primary carer’s leave and 4 weeks of secondary carer’s leave.
• Work From Anywhere: In addition to our hybrid working policy, we also offer 20 days of working from anywhere per year. Ideal for an extended trip to get away from the city or visiting loved ones.

At Endava, we’re committed to creating an open, inclusive, and respectful environment where everyone feels safe, valued, and empowered to be their best. We welcome applications from people of all backgrounds, experiences, and perspectives—because we know that inclusive teams help us deliver smarter, more innovative solutions for our customers.