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 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 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 key 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 Notice

Compensation 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.

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📌 Senior Data Engineer (Brisbane City)
🏢 Techtomic
📍 Brisbane City