Senior Data Engineer (Marketing)

About the role

An established Australian organisation is looking for a Senior Data Engineer to build, connect and optimise the data workflows behind its marketing and customer platforms. The role suits a practical engineer who enjoys owning technical solutions end-to-end, working across data integrations, automated workflows and production pipelines so that information moves accurately and reliably between systems. It is full-time and permanent, based in Brisbane or Melbourne.

Key responsibilities

• Design, build and maintain data pipelines, system integrations and automated workflows.
• Manage data movement between platforms, including extraction, transformation, mapping, validation, enrichment and transmission.
• Build integrations using APIs, webhooks, event triggers, scripts and platform-native tools.
• Write SQL queries to transform, validate and troubleshoot data.
• Develop workflow logic and ensure data is accurate, consistent and fit for use.
• Monitor production workflows and resolve integration failures, data quality issues and performance problems.
• Improve reliability through logging, alerting, error handling, retries and ongoing optimisation.
• Work with technical and business stakeholders to understand requirements and deliver practical solutions.
• Maintain clear documentation around integrations, data flows and operational processes, and follow privacy, consent, security and data governance practices.

Required profile

• 5+ years' experience in data engineering, analytics engineering, data operations, integration engineering, martech or a related technical discipline.
• Proven experience owning production data pipelines, integrations, workflows or data activation solutions.
• Operational mindset with experience monitoring production systems and troubleshooting issues.
• Ability to work independently and take solutions from design through to implementation and ongoing support.
• Experience with CRM, CDP, marketing platforms, customer systems or digital analytics is advantageous.

Required skills

• Strong SQL skills and understanding of data transformation, mapping and validation.
• Practical experience with APIs, webhooks, automated workflows or event-driven integrations.
• Familiarity with cloud data platforms, ETL/ELT tools, orchestration platforms or low-code/no-code integration tools is beneficial.