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Data Engineer

Paxus · Melbourne, Victoria, Australia

📅 21/08/2026
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Location: Melbourne Contract: 12 month Responsibilities Build and maintain scalable ETL/ELT workflows using Informatica (mappings, workflows, scheduling and monitoring) Manage BigQuery datasets and tables, including partitioning and clustering for large-scale analytics Write and optimise advanced SQL to improve performance and reduce compute cost Develop Python scripts for file parsing, orchestration and integration with cloud APIs Automate operational routines using Unix shell scripting (file transfers, pre/post-load steps, batch sequencing) Schedule, monitor and troubleshoot integrated batch workflows across on-prem and cloud schedulers Implement robust data validation, error handling and logging to improve data quality and reliability Diagnose and resolve bottlenecks across Informatica, BigQuery SQL and scripting components Maintain technical documentation (mapping specs, runbooks, diagrams) and collaborate with analysts/testing/business stakeholders Requirements 4-7 years' hands-on data engineering experience building and supporting production data pipelines Strong Informatica experience (development, scheduling, monitoring, troubleshooting) Proven Google BigQuery capability (table design, dataset management, partitioning/clustering, performance optimisation) Advanced SQL skills (complex joins, window functions, tuning, validation routines) Python proficiency for data processing, automation and reusable utilities Strong understanding of operational monitoring, reconciliation, logging and batch workload support Demonstrated ability to troubleshoot end-to-end data pipeline issues across tools and scripts Experience producing and maintaining technical documentation and working in delivery teams Desirables Unix shell scripting for orchestration/automation in data pipeline operations Experience supporting cloud migration or hybrid integration (moving legacy on-prem data into cloud platforms) Familiarity with Agile delivery, version control and release processes across distributed teams Relevant degree (Computer Science / IT / Data Engineering or similar) and/or cloud/data/Informatica certifications To be considered for the role click the 'apply' button or for more information about this and other opportunities please contact Karina Gan on email kgan@paxus.com.au and quote the above job reference number. Paxus values diversity and welcomes applications from Indigenous Australians, people from diverse cultural and linguistic backgrounds and people living with a disability. If you require an adjustment to the recruitment process, including the application form in an alternate format, please contact me on the above contact details.
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