Description
Accrue up to an extra 12 days of leave per year through our Life Days program. Work with a world‐leading technology business at the forefront of innovation. We're a "Family Friendly" certified workplace that understands the many roles our team members play in their unique family setting and actively supports them.
Your New Role And Responsibilities
As a Data Engineering Team Lead, you will provide senior technical leadership and people management within a high‐performing data and geospatial delivery environment responsible for the production, sustainment, and continuous improvement of enterprise geospatial datasets and data engineering pipelines supporting mission‐critical outcomes.
Operating within secure and regulated environments, you will take accountability for the operational performance, quality, and reliability of data engineering and GIS production services delivered by your team. You will combine practitioner‐level technical depth with line management responsibility to ensure delivered solutions are robust, well‐governed, and aligned with customer, contractual, and regulatory requirements.
In this role, geospatial and spatiotemporal data will be a primary application domain. While you are not expected to be the primary hands‐on implementer, strong transferable data engineering expertise is essential to enable informed technical decision‐making, effective assurance, and credible leadership across complex dataflow and production contexts.
Key Responsibilities Include
* Provide day‐to‐day line management, leadership, and professional development for Data Engineers and GIS Production Engineers.
* Foster a high‐performing, collaborative team culture focused on quality, accountability, and continuous improvement.
* Oversee workload planning, prioritisation, and delivery outcomes, ensuring timeliness, compliance, and effective risk management.
* Provide senior technical leadership across geospatial data engineering and GIS production workflows, including ingestion, transformation, validation, and delivery.
* Review and assure technical outputs, act as escalation point for complex issues, and ensure alignment with engineering, ITIL, and data governance standards.
* Drive continuous improvement, capability uplift, and operational maturity through mentoring, standards development, and stakeholder engagement.
What You'll Bring To Make An Impact
* Demonstrated experience as a senior practitioner in data engineering, geospatial data engineering, or a related discipline.
* Proven experience in line management or technical leadership of engineering teams.
* Strong knowledge of enterprise data engineering practices within production environments.
* Experience providing technical review, guidance, and assurance of engineering outputs.
* Ability to operate under broad direction with accountability for team‐level outcomes and decision‐making.
* Strong stakeholder engagement and communication skills, including translating technical concepts for varied audiences.
* Commitment to quality, continuous improvement, and operational excellence within secure or regulated environments.
Legal & Eligibility
This role requires the successful applicant to be an Australian Citizen and hold an active TSPV Clearance, accompanied by the ability to be successful for a DISA.
Commitment to Non‐Discrimination
All qualified applicants will receive consideration for employment without regard to sex, race, ethnicity, age, national origin, citizenship, religion, physical or mental disability, medical condition, genetic information, pregnancy, family structure, marital status, ancestry, domestic partner status, sexual orientation, gender identity or expression, veteran or military status, or any other basis prohibited by law. Leidos will also consider for employment qualified applicants with criminal histories consistent with relevant laws.
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