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Software Engineer

PARTALE
CompanyPARTALE
CategoryEngineering
LocationMelbourne
RemoteOn-site (inferred)
EmploymentFull-time
LevelNot stated
SalaryNot stated by the employer
Posted16 Jun 2026
Last verified30 Jul 2026
SourceEmployer career page (workable)
Applications are handled by the employer, not by us.Apply on the employer's site →
Description
Permanent, Full-Time opportunity Melbourne, VIC - we are also open to candidates in NSW   About us Data Zoo provides identity verification data that enables financial institutions, payment platforms, and fintech’s to confidently verify consumers and business identities globally. Our authoritative data is a game-changer in the fight against document fraud and synthetic identity fraud in digital identity verification.   About the Role We are seeking a Sotfware Engineer to join our Data team focussing on hosted and 3rd party/ API data sources. This team is responsible for designing, building, and maintaining the data pipelines and services that power Data Zoo’s core identity verification platform.   Reporting to the Engineering Manager, you will work hands-on across the full software development lifecycle, with a strong focus on data engineering, pipeline development, and integration of global data sources. You will play a key role in ensuring data is processed, delivered, and maintained with accuracy, scalability, and reliability in mind.   You’ll collaborate closely with Product Managers, Engineers, and stakeholders across the business to deliver high-quality data solutions that directly impact customer outcomes.   Key Responsibilities Data Engineering & Platform Development ·        Design, build, and maintain scalable data pipelines and integrations ·        Work with structured and unstructured data sources to process and transform data efficiently ·        Support the integration of new global data sources into the platform ·        Contribute to the design of data models, storage solutions, and processing workflows ·        Apply data quality, validation, and monitoring practices to ensure data integrity   Software Engineering ·        Develop, test, and maintain backend services using Go (GoLang) ·        Write clean, maintainable, and well-documented code aligned with engineering best practices ·        Participate in code reviews and contribute to continuous improvement of the codebase ·        Contribute to architectural design discussions and scalable system solutions ·        Build and maintain automated testing (unit, integration, end-to-end)   Production & Operations ·        Support production systems including monitoring, alerting, and troubleshooting ·        Investigate and resolve defects and production issues ·        Participate in incident response and post-incident reviews ·        Contribute to improving CI/CD pipelines and operational tooling   Collaboration & Delivery ·        Participate in Agile ceremonies (stand-ups, sprint planning, retrospectives) ·        Work closely with Engineering and Product teams to deliver against the roadmap ·        Communicate progress, risks, and blockers proactively   Continuous Improvement ·        Identify and drive improvements across code, processes, and tooling ·        Stay up to date with developments in Go and data engineering practices ·        Contribute to documentation and knowledge sharing across the team   Qualifications, skills and experience required ·        Proven experience as a Software
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