Position Summary
As a Data Engineer, you will contribute to the delivery of enterprise geospatial dataflows and analytics pipelines supporting mission‐critical outcomes within secure and complex environments.
Key Responsibilities
* Design, develop, and maintain geospatial data pipelines and workflows under senior guidance.
* Implement data ingestion, transformation, validation, and delivery for geospatial and spatiotemporal datasets.
* Develop and manage dataflows using tools such as Apache NiFi, FME, and SQL-based transformations.
* Support geospatial ETL processes, including schema management, data validation, and preparation.
* Troubleshoot dataflow issues and support integration with downstream systems, analytics, and reporting platforms.
* Ensure data quality, documentation, and continuous improvement while collaborating within teams and mentoring junior members.
Eligibility
Applicants must be an Australian Citizen, hold an active TSPV Clearance, and be eligible for DISA clearance.
Qualifications
* Experience in data engineering, data integration, or geospatial engineering roles with exposure to spatial data.
* Hands‐on involvement in ETL/ELT pipelines, including data transformation and validation.
* Familiarity with data integration tools (e.g., Apache NiFi, FME) and SQL for data processing.
* Basic scripting or automation skills (e.g., Python, PowerShell).
* Ability to follow engineering standards and work effectively within regulated environments.
* Strong communication, teamwork, and learning mindset, with exposure to data quality, governance, and collaboration tools (e.g., JIRA, Confluence).
EEO Statement
Leidos Australia is an equal opportunities organisation and is committed to creating a truly inclusive workplace. We welcome applications from Aboriginal and Torres Strait Islanders, culturally and linguistically diverse people, people with disabilities, veterans, neurodiverse people, and people of all genders, sexualities, and age groups.
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