Contract: 6-12 months, with potential extensions (subject to confirmation).
Locations: Melbourne, Sydney or Canberra.
Work arrangement: Hybrid.
Join a global IT services and consulting organisation delivering enterprise-scale data and decision intelligence solutions.
We are seeking an experiencedQuantexa Data Engineerwith strong hands-on experience inQuantexa implementations, Scala, Apache Spark and SQLto design, develop and optimise enterprise data pipelines.
This is an opportunity to contribute to a major data and decision intelligence programme, integrating complex datasets, enabling entity resolution and delivering reliable, high-performance data solutions that support risk, compliance and business decision-making.
Key Responsibilities
Design, develop and maintain data pipelinesto ingest, transform and integrate data from multiple internal and external sources.
Configure and supportQuantexa data models, entity resolution, record matching and network generation.
Develop scalable data processing solutions usingScala, Apache Spark and SQL.
Perform data cleansing, standardisation, validation and reconciliation across complex, high-volume datasets.
Optimise data pipelines forperformance, scalability and reliability.
Troubleshoot data quality issues, pipeline failures and integration challenges.
Implementdata quality, lineage, governance and access controls.
Support testing, production deployments, release management and ongoing platform maintenance.
Collaborate with solution architects,



business analysts, data specialists and governance teams.
Australian Government baseline, NV1 or NV2 security clearance or eligibility to obtain one, particularly for Canberra-based opportunities.
ONLY open to Australian Citizens.
Proven hands-on Quantexa implementation experienceas a Data Engineer or Developer, rather than solely consuming Quantexa outputs.
Robust Scala and Apache Sparkexperience in large-scale distributed data processing.
Advanced SQL skillsfor data querying, transformation and troubleshooting.
Solid commercial experience developing and maintainingproduction-grade data pipelines.
Strong understanding ofdata modelling, mapping, transformation and integrationacross multiple source systems.
Experience withentity resolution, record matching, deduplication and entity linking.
Proven experience delivering enterprise data solutions into production.
Strong troubleshooting, analytical, communication and stakeholder engagement skills.
Highly Desirable
Quantexa certificationor experience delivering solutions through a Quantexa partner.
Experience infinancial services, financial crime, fraud, AML, risk or compliance.
Knowledge ofnetwork analytics and graph-based data solutions.
Experience withAWS, Azure or GCP, Elasticsearch, Git and CI/CD pipelines.
Understanding ofdata governance, lineage, provenance and data quality frameworks.
Experience working ingovernment or regulated enterprise environments.

📌 Quantexa Data Engineer (Canberra)
🏢 Nixil
📍 Canberra