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WEWexinc logo

Wexinc

Australia - Melbourne Office, Australia

Staff Software Development Engineer - Data Acquisition.

STAFF LEVELENGINEERING
About the Role The Data Acquisition Team is the entry point to WEX’s Data-as-a-Service platform, responsible for ingesting, validating, mastering, and delivering trusted data from internal systems and third-party providers. We are seeking a Staff Software Engineer who can architect and evolve core data platform capabilities, with an initial focus on enterprise Master Data Management. You will design production software, APIs, data services, and integration frameworks that establish trusted business identities, relationships, hierarchies, reference data, and golden records across WEX. This role is ideal for an engineer who combines strong software and systems engineering skills with hands-on development, architectural leadership, and mentorship. Experience building enterprise MDM solutions is preferred, but the role is not dependent on a particular MDM product. Practical AI development experience is required. You will use AI-assisted engineering throughout the development lifecycle and help build AI-enabled capabilities that improve data quality, engineering productivity, platform operations, and business data experiences. WEX is undergoing a data platform and AI transformation. This team builds the foundation by ensuring that data entering the platform is reliable, governed, correctly identified, and reusable across analytics, automation, operational applications, and AI products. What You’ll Do Architect and develop scalable software, APIs, and batch or streaming data pipelines. Lead the design and implementation of enterprise MDM capabilities, including identity resolution, golden records, matching, survivorship, relationships, hierarchies, and reference data. Build reusable platform components for validation, data contracts, orchestration, retries, audit logging, lineage, and reconciliation. Apply AI-assisted development across solution design, coding, testing, debugging, and documentation, and build AI-enabled capabilities where they provide value. Improve platform performance, reliability, observability, security, and cost efficiency. Establish automated testing and CI/CD practices for software, data models, integration logic, and platform configuration. Lead production troubleshooting, root-cause analysis, and preventive improvements. Mentor engineers and partner with Product, Architecture, Data, Risk, and Governance teams to shape technical direction. What You Bring 8+ years of software engineering experience, including distributed systems, cloud platforms, or large-scale data solutions. Strong software engineering fundamentals and advanced development experience with Python, Java, or another modern programming language. Experience building production APIs, cloud services, data pipelines, and batch or event-driven integrations. Hands-on experience using AI-assisted development tools and building AI-enabled solutions using model APIs, retrieval patterns, agents, or similar technologies. Understanding of AI risks, including accuracy, security, privacy, model limitations, and the need to validate AI-generated outputs. Strong knowledge of automated testing, CI/CD, observability, data contracts, schema evolution, lineage, and data quality. Ability to lead architecture decisions, troubleshoot complex production problems, mentor engineers, and influence technical direction. Experience building enterprise MDM solutions is preferred, including knowledge of identity resolution, matching, survivorship, golden records, and commercial platforms such as Reltio. Preferred Experience Experience designing, building, or operating enterprise MDM systems. Knowledge of identity resolution, golden records, matching and merging, survivorship, crosswalks, hierarchies, relationships, reference data, data stewardship, and data quality. Hands-on experience with Reltio or another enterprise MDM platform. Experience delivering Customer 360, customer onboarding, Search Before Create, or enterprise identity services. Experience with technologies such as Snowflake, dbt, Kafka, AWS, S3, infrastructure as code, and cloud observability platforms. Experience modernizing or migrating legacy data or MDM solutions. Experience in financial services, payments, risk, or another regulated environment. WEX is a global commerce platform that helps businesses solve for operational complexities like employee benefits, managing and mobilizing fleets, and streamlining payments. With over 6,500 employees, we work with large and small companies in more than 200 countries and territories, and can tailor our services to meet the unique needs of their businesses. We hire people who share our passion for continuous innovation and client service that is unparalleled in the industry. Offering comprehensive and market competitive benefits, our offerings are designed to support your personal and professional well-being. If you’re looking for a growing career - come be part of WEX today. To learn more about our employee benefits, please click here. WEX is an equal opportunity employer committed to diversity and inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to sex, race, color, age, national origin, religion, sexual orientation, gender identity, protected veteran status, disability or other protected status. WEX promotes a drug-free workplace. Qualified individuals with a disability have the right to request a reasonable accommodation. If you require a reasonable accommodation as a result of your disability at any point in the job application process, please submit your request through our Reasonable Accommodation Request Form. This form is for accommodation requests only and cannot be used to inquire about the status of applications.
Pay
Not stated
Where
Australia - Melbourne Office, Australia
Work
Not stated
Type
Not stated
Posted
23 Oct, 2026
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