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JMR Software PTY LTD is seeking a Senior Data Engineer with a software mindset to design, develop and deploy modern data solutions across cloud and distributed environments. You’ll work on production-grade pipelines, leveraging Spark/PySpark, Databricks, Kafka, and Delta Lake while applying robust software engineering practices.
The role requires strong Python and SQL skills, cloud experience (GCP/AWS/Azure), and proficiency with CI/CD, Docker/Kubernetes, and data platform tooling.
We’re looking for a modern Data Engineer who thinks like a software engineer.
This isn’t a traditional SQL/ETL-focused Data Engineering role. The ideal candidate will have strong software engineering fundamentals and hands‑on experience building cloud‑native data platforms and production‑grade data solutions.
You’ll be involved in designing, developing and deploying modern data solutions across cloud and distributed data environments.
Hands‑on experience with at least one major cloud platform:
Experience with technologies such as Dataflow, BigQuery, Dataproc, Pub/Sub, Cloud Storage, Data Factory, Synapse, Event Hubs, S3, Glue, Redshift, Kinesis or EMR would be highly advantageous.
The strongest candidates will bring a combination of:
This is not primarily a traditional SQL/SSIS/ETL role.
Candidates whose experience is limited to:
You’ll work on modern data engineering projects, helping clients build scalable, cloud‑native platforms while working alongside experienced technology professionals.
If you’re a Data Engineer with a Software Engineering mindset and enjoy building modern data platforms rather than simply moving data between databases, we’d love to hear from you.