Senior Data Platform Engineer — Build Scalable Pipelines
Aggregated Queensland listing for senior data engineer / data platform roles: designing, building and running scalable data pipelines, warehouses and ETL with SQL, Python, big-data tools (Spark, Kafka) and cloud platforms (AWS, Azure, GCP); typical pay $130k-$180k per year, based in Brisbane.
Compensation
A$130K–A$180K / yr
Location
Brisbane, Australia
Work setup
Hybrid
Seniority
Senior
Employment
Contract
Experience
5+ years
Category
Data engineering
Posted
Skills
agentic-ai
agile
ai
analytics
anomaly-detection
api
automation
aws
azure
azure-data-factory
azure-functions
azure-logic-apps
azure-synapse
big-data
bigquery
ci-cd
clickhouse
cloud
cpp
crm
data-engineering
data-governance
data-ingestion
data-lake
data-modeling
data-pipelines
data-quality
data-science
data-visualization
data-warehousing
databricks
dataops
dbt
delta-lake
devops
distributed-computing
elt
etl
event-driven-architecture
fivetran
gcp
git
github
grafana
hadoop
infrastructure-as-code
iot
java
kafka
kubernetes
lakehouse
machine-learning
medallion-architecture
microsoft-fabric
mlflow
nats
nodejs
oauth
observability
parquet
postgresql
powerbi
prometheus
pulsar
pyspark
python
rails
rdbms
react
rest
ruby
rust
scrum
sdlc
secrets-management
snowflake
spark
sql
sql-server
tableau
terraform
test-automation
typescript
unit-testing
unity
unity-catalog
vault
Must have
Strong expertise in SQL and Python
Experience with cloud platforms such as AWS, Azure, or Google Cloud
Experience with data warehousing solutions and ETL processes
Experience building and maintaining robust data pipelines
Proficiency with big data technologies such as Hadoop, Spark, and Kafka
Nice to have
Knowledge of data modeling and database design
Experience mentoring junior engineers
Full description
What Senior Data Engineer Jobs are in Queensland
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IT & Software
What Senior Data Engineer Jobs are in Queensland
Explore senior data engineer positions in Queensland , Australia, a region experiencing significant growth in technology sectors. Data engineering jobs are prominent across various industries including tech, finance, and government, with high demand for skilled professionals adept in data warehousing , ETL processes, and cloud technologies such as AWS, Azure , and GCP .
Queensland 's job market features opportunities for those proficient in big data technologies like Hadoop , Spark , and Kafka , including roles in data modeling , database management , and data architecture . Expect to find projects utilizing Python , SQL , and other relevant programming languages and tools. Many organizations seek individuals with experience in building and maintaining robust data pipelines.
Job seekers will find a range of companies offering competitive salaries and benefits for experienced data engineers. The location allows for a great work-life balance with opportunities in major cities and more regional settings, providing diverse living options while pursuing a challenging tech career.
What People Ask
The salary for a senior data engineer in Queensland typically varies based on experience and company. You might expect a range from $130,000 to $180,000 per year. Benefits packages are also an important part of the overall compensation.
Commonly requested skills include strong expertise in SQL , Python , and cloud platforms like AWS, Azure , or Google Cloud. Experience with data warehousing solutions, ETL processes, and big data technologies is also often required. Knowledge of data modeling and database design is beneficial.
Senior data engineers are often tasked with designing, building, and maintaining data pipelines. They also manage data storage and processing systems, and ensure data quality and integrity. Mentoring junior engineers can also be part of their role.
Major tech companies, consulting firms, and large enterprises often hire senior data engineers in Queensland . You may find opportunities at companies like Suncorp, TechnologyOne, and large government organizations. Researching specific company cultures may help refine your application process.
Career paths include moving into a data architect or engineering manager role. Another option may be specializing in a specific area such as machine learning engineering. Opportunities to move into leadership roles are generally available after sufficient experience.
Showing 24Senior Data Engineer jobs in Queensland
Senior Data Platform Engineer — Build Scalable Pipelines at Techtomic (Brisbane, Australia) — aijobsearch
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4001 Central Plaza US$130,000 - US$180,000 per year help_outline Mytra
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Job Description
About the role
Mytra is looking for a Senior Data Software Engineer to build the data platform that the rest of our software reads from.
Every robot and station puts out about 2 MB/s of telemetry and uploads a 60 MB recording every couple of minutes, roughly 6 to 8 GB per edge component per hour. We're designing for 10,000+ storage cells a site, across many sites. Our control plane records every job, fault, and operator action. We require a system that unifies, aggregates, and transforms this data; as well as unlocking the power of our data for downstream insights.
This includes the services that pull data off the wire, the stores it lands in, the ID keying that lets you join across sources, and the pipeline machinery that turns raw capture into the tables products and agents read. Your services will run inside customer facilities, cloud facilities, be durable for multi-day network outages, and enforces each customer's rules for data egress. As much of the services are not built, you will also have the opportunity to architect your solution from the group up.
About the role
Mytra is looking for a Senior Data Software Engineer to build the data platform that the rest of our software reads from.
Every robot and station puts out about 2 MB/s of telemetry and uploads a 60 MB recording every couple of minutes, roughly 6 to 8 GB per edge component per hour. We're designing for 10,000+ storage cells a site, across many sites. Our control plane records every job, fault, and operator action. We require a system that unifies, aggregates, and transforms this data; as well as unlocking the power of our data for downstream insights.
This includes the services that pull data off the wire, the stores it lands in, the ID keying that lets you join across sources, and the pipeline machinery that turns raw capture into the tables products and agents read. Your services will run inside customer facilities, cloud facilities, be durable for multi-day network outages, and enforces each customer's rules for data egress. As much of the services are not built, you will also have the opportunity to architect your solution from the group up.
What you’ll do:
Design the data capture lanes, storage tiers, and pipeline layout
Re-design the ingestion service with something that scales
Build the transform machinery. You own the engine and what it guarantees; the team writes the transforms that run on it.
Build the durable path for what the system does and has to remember
Build the ID keying and crosswalk tables that connect a stored fact to its site, robot, hardware revision, calibration, layout, and pallet
Own retention, cost, and egress as policy instead of plumbing. Retention policies per record and the site-to-cloud replication path.
Run what you build. These services run in our cloud and inside customer sites, so you own their CI/CD, monitoring, and alerting.
Ideal Candidates
5+ years building and running production backend or data infrastructure
You’ve written production code in Go, Python, Rust, Java or C++
You've worked with a durable message or streaming system (NATS/JetStream, Kafka, Pulsar, or similar) and know how delivery guarantees, backpressure, and replay actually behave
You've used a columnar store, relational databases, and No-SQL databases in production and you have a strong understanding of how trade offs work in these technologies when used in data solutions
You've shipped services and kept them running: CI/CD, monitoring, alerting, and being on the hook when they break
You've designed schemas or data contracts that had to survive change
BS/MS in Computer Science, or the equivalent from having done the work
You've built and run data services yourself; whether ingestion, CDC, or event pipelines, rather than writing jobs on top of someone else's platform
You know how columnar stores like ClickHouse and object-storage lakes like Parquet or Iceberg work, and have opinions about which belongs where. Schema governance, failure modes, and cost are design inputs for you, not afterthoughts.
Uncertainty isn’t scary, and you’re willing to realize mistakes and pivot
You can convey complex ideas and technical concepts to a diverse audience
Openness, inquisitiveness, and constant ambition are important values
You enjoy collaborative working and taking time to help others
You seek and value ownership, accountability, and taking on responsibility
Nice to have:
Experience with robotics, IoT, or industrial telemetry at volume, including formats like MCAP
GCP (GCS, BigQuery/BigLake), Kubernetes, and data systems run on-prem, at the edge, or air-gapped, where you can't lean on a cloud service being reachable
Prep the data store for ML or RL training to read directly
Prometheus and Grafana experience as a consumer of the data pipeline
A Final Note:If this role excites you, we encourage you to apply — even if you don’t check every box. At Mytra, we build bots, but we hire humans. We value thoughtful challengers who communicate with clarity and respect, and we’re lifelong learners committed to getting better every day. We move fast, learn faster, and show up for each other under pressure. The best outcomes come from diverse perspectives working together to build something meaningful and built to last
Benefits Include:
Competitive compensation and equity grants at a high-growth company backed by top-tier VCs
Fully subsidized health coverage, including medical (baseline plans), dental, and vision for employees and dependents
401(k) plans and employer-subsidized life insurance
Fully subsidized lunch and snacks at HQ—we eat and share stories together at the “long” table
Generous PTO and company-paid holidays, including one week over the winter break so everyone can recharge together
Voluntary pet insurance, Voluntary Life Insurance, Accident, Critical Illness, and Hospital Indemnity
Fully subsidized tax advisory services and education to help you understand your equity
Commuter benefits, including a up to $150 monthly commuter benefit
Lively, modern combined office and lab space where we rapidly iterate through design, build, and test phases
Fully equipped onsite gym and showers at headquarters
Pay NoticeCompensation for this position will be set based on the candidate's experience level and location. The posted salary band is applicable only to the San Francisco Bay Area and is subject to change.
4001 Central Plaza US$130,000 - US$180,000 per year help_outline Hewitt
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Job Description
Contract | Max-term | Technology
About the Role
As a Senior Data Engineer, you will design, build and maintain scalable data pipelines, integrations and platforms that support Hewitt’s analytics, reporting and automation goals. Working closely with the Data Architect, you will help optimise Lakehouse environments, improve data quality and enable secure, reliable data delivery across the business. This is a hands-on role in a collaborative technology team focused on practical outcomes and continuous improvement working on a maximum 18-month contract.
Build and maintain scalable batch and real-time data ingestion pipelines supporting analytics, AI, BI, and automation workloads. (Python, PySpark, SQL
Develop structured and semi‑structured datasets within Lakehouse environments (Databricks, Microsoft Fabric).
Optimise data pipelines for cost, performance, reliability, and maintainability (Databricks, Azure Logic Apps, Azure Data Factory, Azure Functions).
Implement robust data quality, validation, and observability frameworks.
Key Responsibilities
Build and maintain scalable batch and real-time data pipelines
Develop and optimise Lakehouse, warehouse and integration environments
Implement data quality, governance and security controls
Support automation solutions and reusable engineering components
Collaborate with stakeholders to deliver trusted data products
About You
You are a practical and technically capable data professional who enjoys building robust solutions and improving how data flows across the organisation. You bring strong engineering capability, a structured approach to governance and security, and the ability to work effectively with both technical and business stakeholders. You are curious, collaborative and committed to delivering reliable outcomes that support better decision making.
You Will Bring
Experience building medallion architecture data pipelines with Python and SQL
Exposure to Databricks, Microsoft Fabric or similar platforms
Exposure to CI/CD, DevOps and DataOps Practices
Experience with Github or similar platforms
Knowledge of data governance, quality and security practices
Integration and automation experience across cloud services and APIs
Strong communication and stakeholder engagement skills
Life at Hewitt
With 120 years of family ownership, Hewitt is an iconic Australian agricultural business with a deep commitment to land, livestock and community. Over the past decade, Hewitt has evolved from its livestock production origins into a global, sustainable protein producer, with premium organic and grass-fed brands stocked by leading retailers across Australia, the United States and Asia.
Guided by a vision to feed the world with a system that lasts forever, Hewitt delivers ethical, nutritious protein at global scale. Our fully integrated supply chain – spanning owned cattle stations, trusted producer partners, processing and retail – provides unmatched transparency, quality and resilience, setting Hewitt apart within the global food system.
Hewitt is a hands-on, collaborative business where being present matters. Whether in the office, on station, or in production, you’re contributing to something real: real food, real impact, real teamwork.Join Hewitt for the Opportunity of a LifetimeValues-Driven Organisation – Join a company with a 120-year family heritage, a clear purpose, and a long-term focus on sustainability, animal welfare, and quality.
Competitive Remuneration Package – We recognise and reward your contributions with a fair and transparent pay structure.
Opportunities to grow and develop – Learn on the job, gain new skills, and progress across office, production, and farm/station roles.
Support When You Need It – Access to our 24/7 Employee Assistance Program for personal and professional wellbeing.
The Hewitt Experience – Shared Connections & Celebration – Our teams come together to celebrate wins and build connections through regular events, staff sales and recognition programs.
What’s Next?
Ready to join our team?Apply today.
In this role, you will play a key part in building and maintaining the data infrastructure that powers business decisions, designing and optimising data pipelines, managing large datasets, and collaborating with cross-functional teams to ensure reliable, scalable, and efficient data solutions in a fast-paced environment.
Hewitt is committed to equal opportunity employment and to fostering a workplace that values equity, diversity, and respect.
Reasonable adjustments are available throughout the recruitment process.
By applying, you acknowledge that proof of eligibility to work in Australia will berequired.
We are managing this recruitment process internally and kindly request no contact from recruitment agencies. Unsolicited resumes will not be accepted.
4006 Bowen Hills US$130,000 - US$180,000 per year help_outline Trilogy Care Pty
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Job Description
Do you enjoy building the data foundations that power AI, automation, and smarter business decisions?
At Trilogy Care, we’re one of Australia’s fastest-growing approved Support at Home (HCP/ ) providers, transforming aged care through technology, innovation, and exceptional people. Our purpose-driven team is helping older Australians live independently at home for longer, while creating meaningful impact for our clients, their families, and each other.
About the Role
We’re looking for a Senior Data Engineer – Integration & Pipelines to connect Trilogy Care’s operational, financial, CRM, communications, and workforce systems with our Databricks lakehouse. In this role, you’ll build scalable ingestion pipelines, API integrations, and trusted data models that enable reporting, AI, automation, and data-driven decision-making across the business.
You’ll be responsible for:
Design, build and maintain robust API integrations and ingestion pipelines across CRM, finance, workforce, communications and operational systems.
Develop scalable, reliable Databricks pipelines using Delta Lake, PySpark and streaming technologies, with a focus on resilience, monitoring and automated recovery.
Design and maintain dimensional data models that support reporting, analytics and AI workloads.
Build and maintain REST APIs that deliver secure, curated data to internal applications, dashboards and AI solutions.
Implement data quality, governance and monitoring processes, including validation, anomaly detection and pipeline observability.
Mentor junior engineers, promote engineering best practices and help grow the team’s integration capability.
What You’ll Bring
Expert in building production data pipelines consuming REST APIs at scale — OAuth2, pagination, rate limiting, webhook processing, and error handling.
7+ years’ experience in Data Engineering, building production-grade data pipelines.
Strong Python, SQL, Databricks (or Spark/PySpark) and API integration experience.
Expertise in dimensional data modelling, Delta Lake, pipeline reliability, and CI/CD practices.
Experience building REST APIs and working with modern cloud-based data platforms.
Excellent communication skills and the ability to document and explain complex data flows.
A degree in Computer Science, Data Engineering or a related discipline (or equivalent industry experience).
Experience in healthcare, aged care, AWS, CDC technologies, event-driven architecture or AI/ML data products will be highly regarded.
Why Trilogy Care?
Modern King Street, Bowen Hills office with excellent facilities, close to public transport, cafes, restaurants and supermarkets
Vibrant team culture and regular social events
Opportunities for career mapping and career progression within the company
Salary packaging (Novated Leasing) to boost your take-home pay
Access to Fitness Passport to support your health and wellbeing
EAP support for you and your immediate family
Please note
To join our team, you’ll need to have full Australian work rights. As part of our standard recruitment process, we’ll also conduct a working rights check, police check and request professional references during onboarding.
We appreciate the interest of recruitment agencies but kindly ask that resumes not be submitted unless a prior agreement is in place. Trilogy Care will not accept responsibility for any fees related to unsolicited resumes.
4001 Central Plaza US$130,000 - US$180,000 per year help_outline Trilogy Care PtyPosted 1 day ago
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Do you want to shape the future of data platforms in an organisation where technology drives real-world impact?
Trilogy Care is one of Australia’s fastest-growing approved Support at Home (HCP/ ) providers, transforming aged care through technology, innovation, and exceptional people. We’re building a modern, AI-enabled organisation where data is at the centre of every decision, helping older Australians live independently at home for longer.
About the Role
We’re looking for a Senior Data Engineer – Platform & Architecture to shape the future of Trilogy Care’s Databricks lakehouse platform – the foundation connecting our operational, financial, CRM, communications and workforce systems.
You’ll drive key architecture decisions across scalability, governance, performance and cost optimisation, while setting engineering standards and mentoring the team. As a technical leader, you’ll help answer “How should we build this?” and ensure our data platform is secure, reliable and ready to power AI, automation and smarter business decisions.
Key Responsibilities
Design, evolve and maintain Trilogy Care’s Databricks lakehouse architecture.
Define medallion layer structures, table formats, partitioning, clustering strategies and data lifecycle policies.
Document and communicate architecture decisions to ensure alignment across teams.
Unity Catalog & Data Governance
Design and maintain catalog and schema structures across production environments.
Manage data access controls, classification and governance standards.
Establish schema evolution practices and improve data discoverability.
Compute Strategy & Cost Optimisation
Define Databricks compute strategies, cluster policies and workload optimisation approaches.
Monitor and optimise platform spend across compute, storage and ingestion.
Implement guardrails that balance cost efficiency with engineering velocity.
Engineering Standards & Technical Leadership
Establish best practices across code quality, testing, CI/CD, documentation and development workflows.
Review architecture decisions and provide technical guidance on complex data challenges.
Mentor Data Engineers and help elevate platform capability across the team.
What You’ll Bring
7+ years’ experience in Data Engineering, with significant experience designing and building modern data platforms.
Deep expertise in Databricks, Delta Lake, Unity Catalog and lakehouse architecture patterns.
Strong understanding of data modelling, governance, scalability and platform reliability.
Experience with Python, SQL and Infrastructure as Code (Terraform or equivalent).
Proven ability to optimise data platforms for performance, reliability and cost.
Experience mentoring engineers and establishing engineering standards.
Strong communication skills with the ability to explain complex technical decisions clearly.
Why Trilogy Care?
Modern King Street, Bowen Hills office with excellent facilities, close to public transport, cafés, restaurants and supermarkets.
Vibrant team culture with regular social events.
Opportunities for career mapping and progression within the company.
Salary packaging (Novated Leasing) to boost your take-home pay.
Access to Fitness Passport to support your health and wellbeing.
EAP support for you and your immediate family.
Please note
To join our team, you’ll need to have full Australian work rights. As part of our standard recruitment process, we’ll also conduct a working rights check, police check and request professional references during onboarding.
We appreciate the interest of recruitment agencies but kindly ask that resumes not be submitted unless a prior agreement is in place. Trilogy Care will not accept responsibility for any fees related to unsolicited resumes.
4001 Central Plaza US$130,000 - US$180,000 per year help_outline Perigon Group
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About the Role
Our client is seeking a Data Engineer to play a key role in designing, building and optimising scalable data solutions. Working within a modern cloud environment, you'll leverage Snowflake, DBT and Fivetran to support enterprise reporting, analytics and data-driven decision making. This is an exciting opportunity to contribute to the ongoing evolution of a mature data platform built on Medallion Architecture principles.
Key Responsibilities
Design and develop scalable data pipelines and workflows
Build and maintain data models using DBT
Manage and optimise Snowflake data environments
Integrate and automate data ingestion using Fivetran
Support data quality, governance and platform performance
About You
Experience working with Medallion Architecture frameworks
Strong hands-on experience with Snowflake
Proven capability developing solutions with DBT
Experience implementing and managing Fivetran pipelines
Strong stakeholder engagement and problem-solving skills
About the Company
Our Client is a well-established national organisation recognised for investing in modern technology and data-driven decision making. With a collaborative and high-performing culture, they continue to transform and enhance their data capabilities to support business growth and innovation.
For more information or a confidential discussion, please apply.
4001 Central Plaza US$130,000 - US$180,000 per year help_outline National Heavy Vehicle Regulator
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About the role
As a Data Engineer, you’ll bring a well-rounded understanding of data-driven practices to support senior team members and stakeholders in enhancing regulatory processes. From uncovering insights through data profiling and analytics to building robust models and engineering solutions, you’ll play a key role in how data is governed, interpreted, and transformed into actionable intelligence.
Key responsibilities of this role are:
Collaborate within a high-performing Scrum team to deliver BAU work and Project Roadmap milestones that support the Data Science and Analytics Strategy. This includes interpreting requirements, estimating effort, and raising risks and impediments early.
Interpret business requirements, estimate workloads, prioritise tasks, and manage time in the delivery of quality solutions to meet deadlines.
Design, build, and maintain scalable data pipelines in Databricks using Python, PySpark, and Spark SQL, primarily within our metadata-driven ingestion and transformation framework.
Develop and operate Databricks notebooks and jobs on classic compute. Optimize performance and cost through cluster configuration, cluster policies, and Spark and Delta Lake tuning.
Extend and improve the framework's configuration, patterns, and reusable components so that new data sources can be onboarded quickly and consistently.
Contribute to the platform's evolution toward Lakeflow declarative pipelines and modern Databricks capabilities.
Deliver changes through modern CI/CD practices, including source control, automated testing, peer code review, and CAB-approved releases.
Support, maintain, and upgrade existing workflows, deployment pipelines, and environments across the full application lifecycle.
Implement and manage data security with Unity Catalog, including catalog, schema, and table permissions, row filters, column masks, service principals, and secrets management.
Identify, classify, and protect sensitive and personal (PII) data. Apply tagging, masking, and access controls in line with privacy obligations and organizational policy.
Participate in a rotating incident management roster. This includes troubleshooting and resolving issues, performing root cause analyses, configuring monitoring and alerting, and writing troubleshooting guides.
Proactively remediate and document operational incidents, project risks, and impediments where possible or otherwise surface these items as appropriate to project managers and senior team members.
NHVR’s Data & Technology teams are currently undertaking growth and considerable transformation, and this is an exciting time to join the organisation.
To learn more, the position description can be found on the NHVR Careers site -
About You
You'll have at least four years of data engineering experience, including significant hands-on work with Databricks or equivalent cloud data platform. A bachelor's degree in a relevant field is desirable. You'll also be experienced with Agile Scrum, the SDLC, and data lifecycle processes.
Your toolkit for success:
Hands-on Databricks experience, including notebooks, Jobs/Workflows, cluster configuration on classic compute, and Spark performance tuning.
Strong Python and PySpark data pipeline development skills, with advanced SQL (Spark SQL and T-SQL or similar).
Practical experience with Delta Lake, including MERGE and upserts, schema evolution, OPTIMIZE and VACUUM, and partitioning or clustering strategies.
Experience building or working within metadata-driven or configuration-driven pipeline frameworks.
Working knowledge of Unity Catalog security and governance, including the securable model, grants and ownership, external locations, storage credentials, and lineage.
Experience identifying and handling sensitive and PII data, including classification, masking, and least-privilege access.
Solid data modelling knowledge (relational, dimensional, and medallion architecture) and an understanding of RDBMS concepts.
Software engineering discipline, including modular and reusable code, unit testing, Git-based workflows, CI/CD, and debugging.
Experience with Azure data services such as ADLS Gen2, and Key Vault.
Understanding of batch and streaming data concepts, structured and unstructured data, and data governance
Ideally you will have:
Experience with Lakeflow Spark Declarative Pipelines (formerly Delta Live Tables), Lakeflow Connect, Auto Loader, and data quality expectations.
Relevant certifications including Professional or Associate Databricks Data Engineer, and Azure Certification.
Experience with data visualization tools such as Microsoft PowerBI, Tableau.
Familiarity with supporting machine learning workloads, such as MLflow.
The National Heavy Vehicle Regulator (NHVR) commenced operations in 2013 as the national entity responsible for regulating all vehicles in Australia over 4.5 tonnes gross vehicle mass. The NHVR minimises the compliance burden on the heavy vehicle transport industry, reduces duplication and inconsistences across state and territory borders, and ultimately for the heavy vehicle business with government in Australia.
We are headquartered in Brisbane and employ more than 1000 people across the ACT, New South Wales, Queensland, South Australia, Tasmania and Victoria.
We offer -
Salary package of $135,995.90 + superannuation
Monthly RDO and paid leave over Christmas closure.
Hybrid working environment – up to 2 days from home.
Up to15.25% superannuation through a co-contribution scheme
Leave loading 17.5%
Wellbeing programs – discounted fitness through Fitness Passport, Discount health insurance, flu vaccine, financial programs including discounted banking products, finance information sessions.
Salary packaging options including novated lease.
Discounted IT products including Microsoft and free family password security plan.
Ongoing training and professional development support
Professional membership
Application Process
Please apply with your CV and cover letter addressing the essential requirements of the role.
If you have any questions, please don’t hesitate to contact the NHVR recruitment team on .
Successful applicants will be required to complete standard pre-employment checks including a national police and work rights check.
Please Note : We will not require any support from Recruitment Agencies at this time and kindly request no contact is made. Only direct applications will be considered.
We are committed to being an inclusive, diverse and flexible workplace where differences are valued.We welcome applications from people of all backgrounds, experience and abilities.
4001 Central Plaza US$130,000 - US$180,000 per year help_outline E'volve
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Introduction
At Lite n' Easy our goal is to create a healthier Australia by changing the way Australians eat. We make it easy for people to eat well, whether they want to lose weight or simply stay healthy. As a quality driven food company, all of our creative energies go into making our meals as delicious as they are healthy.
Introduction
At Lite n' Easy our goal is to create a healthier Australia by changing the way Australians eat. We make it easy for people to eat well, whether they want to lose weight or simply stay healthy. As a quality driven food company, all of our creative energies go into making our meals as delicious as they are healthy.
DescriptionThe Role
Reporting into our technology team, this role will play a key part in building andmaintainingour next-generation data platform.
You will design,developand optimise data pipelines across Microsoft Fabric and Power BI, helping teams across Lite n' Easy make faster, more confident decisions using trusted data.
What’s in it for you?
Variety packed role in a fast-paced environment
Visibility – Working closely with ELT members
Work on a meaningful data transformation program using modern Microsoft cloud tools.
Flexible working arrangement
Meal Discounts, on-site Gym, Health Checks and Physio
Key Responsibilities
Design, build andmaintainreliable ETL/ELT data pipelines using Microsoft Fabric, including Fabric Pipelines, DataFactoryand related cloud analytics tools.
Structure data within MicrosoftOneLake/Lakehouse environments, transforming raw operational data into clean, usable reporting layers.
Partner with business and technology stakeholders to develop high-performing data models and datasets for Power BI reporting.
Support data governance,securityand workspace management practices across the Microsoft Fabric environment.
About You
A confident collaborator who enjoys partnering with senior stakeholders and wants to make a difference …. And get noticed!
Hands-on experience with Microsoft Fabric and/or the Microsoft data stack, such as Lakehouse, Warehouses, Azure Synapse, Data Factory or Fabric Pipelines.
Strong SQL skills with the ability to transform, optimise and manage complex datasets.
Experience using Python and/orPySparkfor data engineering,transformationor notebook-based workflows.
Sound understanding of Power BI, semantic modelling, star schema design and reporting performance considerations.
A collaborative communication style, with the ability to explain technical concepts clearly to non-technical stakeholders.
If you're excited to take on your next challenge and contribute to one of Australia’s leading food companies, Apply now! Join us in shaping the future of healthy eating in Australia. Candidates must have full work rights in Australia – Australian Citizen or New Zealand Citizen.
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4006 Bowen Hills US$130,000 - US$180,000 per year help_outline Magentus
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At Magentus , our goal is to create a healthier society through technology. We do that by delivering smart workflows that connect people, systems, and data - making care more intelligent, efficient, and accessible. Whether it’s supporting clinicians, streamlining operations, or improving patient outcomes, we’re here to make a real difference in healthcare through digital innovation.
At Magentus , our goal is to create a healthier society through technology. We do that by delivering smart workflows that connect people, systems, and data - making care more intelligent, efficient, and accessible. Whether it’s supporting clinicians, streamlining operations, or improving patient outcomes, we’re here to make a real difference in healthcare through digital innovation.
About the RoleAs a Data Engineer , you'll take ownership of the reliability, quality and governance of our internal data platform. You'll design, build and improve data pipelines, introduce observability and automation, and help create a trusted, self-service data environment that scales with the business.
This is a hands-on engineering role suited to someone who enjoys solving root-cause problems, improving systems, and delivering practical outcomes that make a measurable difference.
You'll work closely with product engineers, delivery teams and data specialists, helping establish the foundations of a growing data capability within a purpose-driven healthcare technology organisation.
What you'll own:
Pipeline reliability. Data lands where it should, when it should, and you know before anyone else when it doesn't. Manual intervention becomes the exception, not the routine.
Data quality and consistency. Validation, reconciliation and testing built into the pipeline rather than bolted on afterwards, so the numbers hold up under scrutiny.
Observability and documentation. Monitoring, alerting and lineage that make it possible to diagnose an issue quickly, plus documentation of what exists, where it came from and how it should be used.
Self-service enablement. Reducing the support load by giving analysts and product teams the access, tooling and documentation to answer their own questions.
AI-driven uplift. You use agentic tooling, including Claude, as a normal part of how you build and fix, and you actively help lift the rest of the data function to work the same wa
What we're looking for:You're a practical, hands-on engineer who enjoys improving systems and building solutions that last. You combine strong technical capability with a continuous improvement mindset and are comfortable working with both technical and non-technical stakeholders.
You’ll bring:
3-5+ years' experience in Data Engineering or a related software engineering role with significant data responsibility.
Strong SQL and Python skills, with experience building and supporting production data pipelines.
Hands-on experience working with Databricks in a production environment.
Experience delivering end-to-end data integrations from source systems through to reporting or analytics platforms.
Knowledge of data quality, testing, validation and reconciliation practices.
Experience using GitHub, CI/CD pipelines and version-controlled development workflows.
Experience using AI-assisted development tools to improve the way you design, build or troubleshoot solutions.
Strong communication skills and a proactive, problem-solving approach.
Our Tech Stack
Data platform: Databricks, SQL, Python
Cloud and infrastructure: AWS, infrastructure as code
Broader environment: Ruby on Rails, TypeScript and Node.js, React, PostgreSQL
What’s in it for you:
Real impact. The data you make trustworthy shapes decisions about products used by thousands of clinicians every day.
Genuine scope. This is a capability being stood up, not a seat being backfilled. You will have real influence over how it is built.
A mature engineering environment. You will work alongside established product engineering, architecture, security and platform functions, with the delivery practices and regulatory obligations of a global health technology group.
Building with AI. We actively develop agentic coding harnesses to accelerate delivery, and this role is one of the places we expect to drive that forward for data work, not just adopt what others build.
Flexibility that is real. Brisbane-anchored and hybrid, with genuine flexibility in where and how you work.
Professional growth. We support ongoing learning, conference attendance and certification relevant to your discipline.
A values led organisation. Our values - We Care, Make a Difference, Resilience, One Team, Constant Evolution, and Trust - describe how we work with each other and with our customers.
Brisbane preferred, with hybrid and flexible working arrangements. Strong candidates elsewhere in Australia will also be considered.Ready to bring your energy and organisation to a team that cares? Apply now and help us make a difference at Magentus!
Nurturing the greatness in every child - and in you.
Join one of Australia’s Largest Leading Early Education Providers!
At G8 Education, we’re on a mission to shape the future! With 350+ early education and care centres under 21 brands, our 7,000+ dedicated team members nurture over 40,000 children every day.
As an ASX listed growth company, we’re committed to empowering, rewarding, and supporting every team member – from our centre educators to our leadership and support team.
The Opportunity
We’re looking for an experienced Data Engineer to design, build, and maintain scalable data pipelines and infrastructure that power data-driven decision making across our organisation.
In this role, you’ll work closely with data scientists, analysts, and business stakeholders to ensure our data systems are reliable, efficient, and fit for purpose, transforming raw data into meaningful insights.
This is a hands-on technical role for someone who enjoys solving complex problems, optimising performance, and continuously improving data platforms.
While this opportunity is advertised as a Data Engineer, we encourage experienced Senior Data Engineers to apply, with flexibility to appoint at a senior level for the right candidate.
Build and optimise data models to support analytics and business reporting
Integrate data from multiple sources and formats, ensuring accuracy and consistency
Identify and resolve performance bottlenecks across pipelines and systems
Implement monitoring, alerting, backups, upgrades and ongoing maintenance processes
Partner with data scientists, analysts and stakeholders to deliver fit-for-purpose data solutions
Develop and maintain Power BI reporting solutions to support business insights
Document engineering processes, standards and best practices
Provide guidance and support to team members where required
Stay current with emerging tools and technologies, contributing ideas to improve platforms and ways of working
About You
You’re a collaborative problem-solver with strong technical foundations and a passion for data. You thrive in environments where quality, reliability and continuous improvement matter.
5 years of experience in data engineering or related roles, with strong proficiency in database systems, ETL processes, and data modelling.
Proficiency in programming languages such as Python or SQL.
Experience with Microsoft Fabric is a plus.
Strong problem-solving skills and attention to detail.
Excellent communication and interpersonal skills, with the ability to work effectively in a team environment.
Experience with data visualisation tools such as Power BI is desirable.
Hold a valid working with children check or willingness to obtain upon commencement.
Benefits at G8
Competitive salary package
Eligibility to participate in our Short-Term Incentive program which is an annualised bonus each year
Hybrid working conditions with 3 days in office and 2 from home.
Based at our Gold Coast Head Office in Varsity Lakes.
Career development opportunities as part of a large ASX-listed company
Access a 50% discount on early education and childcare fees at any G8 Education Centre.
Exclusive access to our G8 Rewards Program with benefits across more than 600 retailers, exclusive cash discounts and more!
At G8 Education, we’re proud to celebrate, support, and inspire our 10,000+ team members as they make a lasting difference in the lives of children and their own.
Driven by our purpose “to nurture the greatness in every child to grow, thrive and learn” and guided by our values, we’re shaping bright futures for children, families, communities, and each other.
Our values: Safety First & Always, Thriving Together, Owning the Outcome, Being the Difference, Building Bright Futures.
Our Recruitment Process**
Our recruitment process includes police checks and verification of qualifications and right-to-work status.
Please note that the advertised closing date is indicative only, and applications may close earlier. We encourage you to apply as soon as possible.
G8 Education is a committed advocate for child protection, safety and wellbeing. We have a zero tolerance for any form of child abuse or harm. The safety and wellbeing of children will always be our priority, and all team members are expected to embrace this shared commitment.
Australian Citizens residing in Australia only respond . must hold a valid Baseline security clearance or be willing and eligible to obtain one.
Demonstrated experience developing ETL/ELT processes for complex and/or large data movement, transformation and/or visualisations, particularly in a cloud environment. 50%
Experience preparing data optimised for query performance in cloud computed engines. E.g. Distributed computing engines (Spark) Graph Databases Azure SQL. 25%
Experience working with Engineering, Storage and Analytics services in cloud infrastructure. 25%
Experience working with Azure Data Factory and Databricks.
Experience/Knowledge of working with Data Lake and Lakehouses
Job Description:Australian Citizens residing in Australia only respond . must hold a valid Baseline security clearance or be willing and eligible to obtain one.Essential criteria:
Demonstrated experience developing ETL/ELT processes for complex and/or large data movement, transformation and/or visualisations, particularly in a cloud environment. 50%
Experience preparing data optimised for query performance in cloud computed engines. E.g. Distributed computing engines (Spark) Graph Databases Azure SQL. 25%
Experience working with Engineering, Storage and Analytics services in cloud infrastructure. 25%
Desirable criteria:
Experience working with Azure Data Factory and Databricks.
Experience/Knowledge of working with Data Lake and Lakehouses