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 robust 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 17 Senior Data Engineer jobs in Queensland

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.

- 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 h

📌 Senior Data Engineer (Brisbane)
🏢 Techtomic
📍 Brisbane