Our ‘black belt’ specialists are leaders in their domains: platform and cloud champions, delivery-focused engineers, security-first practitioners, AI thought leaders, and advocates for engineering best practice.
With a global presence and strong local expertise, we deliver modern, resilient platforms without compromising on quality. Our multidisciplinary teams solve complex problems at scale, embedding reliability, security, and operational excellence through our most senior technologists.
Empower Your Career with Us
Are you ready to join a dynamic team that empowers businesses through robust engineering capabilities? We seek talented individuals who thrive in a fast-paced environment with a strong sense of urgency and a focus on execution.
Position Overview
We are seeking a Senior Data Engineer to support a major data migration programme for a tier-one financial services organisation. This role is responsible for delivering the safe, controlled migration of data from a legacy platform to a new, modern data platform.
You will play a key role in ensuring data accuracy, integrity, and traceability throughout the migration lifecycle, working closely with technology, product, and business stakeholders to meet regulatory, risk, and operational requirements.
The role is hands-on and delivery-focused, leveraging AWS-native data services to execute a structured, auditable migration aligned to financial services standards.
Key Responsibilities
- Conduct detailed analysis of legacy data platforms, including schemas, data quality, lineage, and dependencies.
- Develop a strong understanding of the target-state data platform, including data models, controls, and architectural constraints.
- Define, document, and maintain data mapping specifications between legacy and target platforms, including transformation logic and validation rules.
- Design, build, and execute data migration pipelines that are robust, repeatable, and auditable.
- Implement data pipelines using AWS data tooling, including : Amazon S3, AWS Glue, Managed Apache Airflow (MWAA), dbt
- Apply data quality controls, reconciliation checks, and exception handling to ensure completeness and accuracy of migrated data.
- Support migration testing, validation, and sign-off, including defect analysis and remediation.
- Collaborate with engineers, product owners, risk, and business stakeholders to ensure migration outcomes align with business and regulatory expectations.
- Produce and maintain clear technical documentation, including mappings, controls, and operational runbooks.
- Adhere to security, compliance, and change management practices expected in regulated financial services environments.
Skills & Experience
- Proven experience delivering data migration or platform modernisation initiatives, ideally within financial services or other regulated industries.
- Strong hands-on experience with AWS-based data platforms.
- Advanced SQL skills and experience working with complex, high-volume datasets.
- Practical experience using dbt for data transformation and modelling.
- Experience orchestrating data workflows using Apache Airflow or managed equivalents.
- Strong understanding of data governance, controls, and auditability.
- Ability to communicate clearly with technical and non-technical stakeholders in an enterprise environment.
What We Offer
- A collaborative and innovative work environment.
- Opportunities for professional growth and career progression.
- Competitive compensation.
- The chance to work on one of the largest data transformation programs in Australia, with exposure to AI-powered solutions shaping the future of financial services.
If you are ready to lead platform engineering at scale and make a tangible impact on how modern software is built and delivered, we would love to hear from you.
