Job Description
At Boeing, we innovate and collaborate to make the world a better place. We're committed to fostering an environment for every teammate that's welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us.
Location: Brisbane
Category: Engineering / Technical
Position Type: Permanent
Job Reference: BOE/1919277
About Us
Boeing Defence Australia is shaping the future of aerospace and delivering some of the nation's most important programs for the Australian Defence Force.
We currently employ more than 2,500 people across 14 sites in Australia and three international locations.
The opportunity
We are seeking a capable engineer or analyst to join the Data Analytics team in Digital Engineering. Our team plays a critical role in delivering data‐driven insights and scalable data solutions to support key Defence objectives. With an initial focus on establishing reliable data flows into the data warehouse, this role will also contribute across the full data analytics lifecycle, from stakeholder engagement through to delivery of impactful visualisations and AI‐ready data products.
Responsibilities
* Collaborate with cross‐functional teams to understand data needs and deliver insights and fit‐for‐purpose data solutions.
* Undertake data wrangling, extraction, transformation and loading using Python and SQL.
* Develop and maintain reliable data pipelines and ETL/ELT processes in Apache Airflow that connect large datasets from a variety of structured and unstructured sources.
* Utilise dbt for data modelling and transformation.
* Support development and maintenance of data platform infrastructure, including data warehouses, data lakes and, where required, data access APIs.
* Build visualisations in Tableau.
* Develop data applications in Python/HTML/CSS.
* Work with stakeholders to define requirements, support delivery, and promote data standards, reuse, scalability, stability and operational efficiency.
* Contribute to automation and CI/CD practices to improve scalability, repeatability and reliability of data and analytics solutions.
Experience / Qualifications
Essential:
* Bachelor's degree in a technical field (e.g., Software Engineering, Computer Science, Physics, Mathematics) or equivalent industry experience.
* Demonstrated experience in Python.
* Ability to work with SQL (knowledge will be valued; training will be provided).
* Understanding of data modelling principles.
* Experience or strong interest in building and maintaining data pipelines and transforming data from multiple sources.
* Ability to work collaboratively with stakeholders to understand requirements and deliver high‐quality data products.
* Strong problem‐solving skills and attention to data quality, reliability and documentation.
Desirable:
* Defence and/or Aerospace domain knowledge.
* Experience with dbt modelling and Apache Airflow.
* Familiarity with MLOps and CI/CD practices.
* Experience with Tableau.
* Experience with Docker.
* Experience with cloud platforms (e.g., AWS, Azure, GCP).
* Experience with data warehousing, data lakes, or data platform infrastructure.
* Familiarity with data quality monitoring, observability and pipeline testing practices.
* Understanding of security, governance and access control considerations in enterprise data environments.
* Analytical aptitude demonstrated through previous projects.
Benefits
* Flexible working options
* Study assistance
* Salary packaging
* Employee Incentive Program
* Global opportunities
Culture
We are committed to building a diverse and inclusive workplace. Female applicants, people of Aboriginal or Torres Strait Island descent and ex‐defence personnel are encouraged to apply.
Equal Opportunity Employer
We are an equal‐opportunity employer. We do not accept unlawful discrimination in our recruitment or employment practices on any grounds including but not limited to: race, color, ethnicity, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military and veteran status, or other characteristics covered by applicable law. We encourage applicants with disabilities to request accommodations.
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