Roy Morgan is Australia's most reputable and longest established market research company, with an unparalleled reputation for reliable, accurate, meaningful, revealing market research. At the forefront of data and research innovation since ****, today Roy Morgan continues to provide accurate and independent information insights to leading Australian and international companies and governments, as well as partnering with these same companies on bespoke data applications and technology development.
About The Role
The Technology department is responsible for positioning Roy Morgan as an efficient and innovative Research Company that employs best-in-breed technologies and methodologies to generate powerful insights for its customers.
Over the past year we've laid the foundations for
API-enabled access to our data for clients
, backed by Amazon and other Cloud Engineering. The big push now is
platform enablement
: building a single AWS data platform on
Amazon SageMaker Unified Studio
that serves all of Roy Morgan's data needs. Our Data Engineering team sits at the core of that platform, supporting our existing Data Science and Data Analyst teams with reliable, well-governed data.
Reporting to the Head of Information Technology, you will join the Data Engineering team and work hands-on across the whole data platform. You will:
Build and enable our data platform on Amazon SageMaker Unified Studio, giving our Data Science and Data Analyst teams governed, self-service access to the data they need
Set and apply Redshift data storage standards, covering modelling, schemas, naming, partitioning and performance
Design, build and maintain cubes that give analysts and clients fast, consistent views of our data
Build and improve the queries and data contracts behind API-enabled client data access
Design and build data pipelines (ingestion, ETL/ELT, transformation and modelling) on AWS
Build out our data lake and warehouse, including selecting and tuning engines for wide columnar storage and fast query performance
Move legacy,



server-scheduled batch processing onto modern managed, serverless and containerised pipeline platforms
Build data quality, lineage, reconciliation and observability into the platform from day one
Apply data-security best practice, including role-based access, masking, encryption, auditing and secrets management
Bring an R&D; mindset by testing and introducing new data tools and engines that fit Roy Morgan's needs
You will work closely with the Head of IT, Tech Lead, engineering teams, Data Science and Data Analyst teams, Research and Sales. The aim is to deliver data products that cut the cost of processing our data and open up current ways of getting it to clients. This is a unique opportunity to help shape how one of Australia's most respected data sets is stored, processed and delivered.
About You
Ideally, your skills and experience will include:
3- 5+ years' experience in Data Engineering or a similar role, preferably in "big data" and/or market research
A strong background in data pipeline design, ETL/ELT processes and data modelling for lake and warehouse architectures
Strong practical programming skills in Python and SQL (R a plus)
Hands-on experience with AWS data services, including Redshift, Glue, S3, Lambda, Fargate, Lake Formation, EMR, Amazon SageMaker and SageMaker Unified Studio
Experience defining and applying data storage standards in Redshift or a similar cloud data warehouse
Experience designing and building cubes (OLAP or semantic layer) for analytical reporting
Experience enabling a shared data platform for Data Science and Data Analyst users
Experience re-platforming legacy batch pipelines onto modern cloud pipeline platforms




DevOps principles applied to data engineering: version control, CI/CD, automated testing of data work, infrastructure as code and secrets management
Experience with API (REST/JSON) and file-based (SFTP) integration patterns
Familiarity with data governance, lineage, data quality and privacy/security obligations
Exposure to AI and machine learning in real-world data solutions (a plus)
Strong analytical, problem-solving and research skills
Well-developed communication skills, with the ability to explain complex concepts to technical and non-technical stakeholders and to work as a consultative partner to the business
A Bachelor's degree in Information Technology, Data Science or a related discipline
Our Offer to You
We believe in investing in our people and when you join us, you can expect:
Vibrant work culture
Competitive salary package
Company social events, including Friday night activities
Company EAP service
Benefits including entertainment events, annual flu vaccine, discounted MYKI passes, and corporate discount for health insurance
To be considered for this role you must have full Australian working rights at the time of application.
Privacy Statement
Roy Morgan is committed to protecting your privacy. You can read our privacy policy by clicking on the following link . The information provided by you will be used to assess and process your application for recruitment. To do this, we may share your information with any recruitment agency engaged to assist with our recruitment processes. Should you, at any time, choose not to proceed with your application you may exit the recruitment process by emailing ****** and advising us in writing of your decision.
We value diversity and encourage applications from people of all backgrounds, including Aboriginal and Torres Strait Islander peoples.
Background Screening
Successful applications will be subject to pre-employment and in some circumstances, ongoing background checks which include a criminal history check.
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📌 Data Engineer (Melbourne)
🏢 Roy Morgan
📍 Melbourne