Constantinople delivers a new era of AI-native banking.
Constantinople provides banks with a fully-managed software and AI operational platform, which brings together customer experience, product, data, operations, compliance and infrastructure in a single platform.Constantinople's AI-native platform eliminates the need for expensive infrastructure, and replaces manual operational and compliance processes with AI at scale.
By removing the operational complexity of banking, Constantinople enables our client banks to focus on their customers and thebusinessof banking.What You'll DoDesign and build end-to-end data migration pipelines that extract, transform, and load core banking data from legacy systems with a strong focus on Ultradata source environments into Constantinople's platformDevelop and maintain transformation logic and data mapping frameworks that accurately translate legacy banking data models, business rules, and product configurations into Constantinople's schemaBuild robust data validation, reconciliation, and integrity checking frameworks to ensure every migration lands with full accuracy and auditabilityOwn the design and development of Constantinople's core migration data tooling, creating reusable frameworks that scale across multiple client onboardingsWork with Snowflake as the primary analytical and staging workplace building pipelines, models, and data products that support both migration execution and post-migration reportingCollaborate with Technical BAs to turn data mapping specifications and business rules into production-grade migration codeSupport migration dry runs, parallel runs, and live cutovers including rapid triage and resolution of data issues under time pressurePartner with platform engineers and solutions engineering to ensure migrated data integrates cleanly with downstream systems, APIs,



and banking operationsBuild cutting-edge tools and frameworks that convert raw legacy banking data into clean, validated, and operationally ready assets on the Constantinople platformChampion clean, maintainable, and well-documented code and data architecture that the whole team can build onWho You Are5+ years of data engineering experience, with hands‐on involvement in large-scale data migrations ideally within banking, fintech, or financial servicesDirect experience with Ultradata (the core banking platform) understanding its data model, schema structure, and export formats is highly desirable and will set your application apartProficient with Snowflake including pipeline development, data modelling, dbt transformations, and performance optimisation in a Snowflake environmentStrong proficiency in Python and SQL, with a track record of building production-grade data pipelinesSolid understanding of relational and NoSQL databases, including schema design, query optimisation, and data integrity patternsExperience with modern data stack tooling dbt, Spark/Flink, columnar data formats, and workflow orchestration (Airflow/MWAA)Familiarity with AWS data services: S3, Athena, Glue, EKS, MWAA experience with the full AWS data stack is preferredA precision mindset you understand that in financial data migration, correctness is non‐negotiable and edge cases are the job, not the exceptionStrong data intuition with the ability to translate complex business rules and legacy data structures into scalable engineering solutionsCollaborative by nature comfortable working across engineering, delivery, and client‐facing teams, and able to communicate technical constraints clearly to non‐technical stakeholdersComfortable with the pace and ambiguity of a high‐growth startup, and energised by building capability from the ground up
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📌 Senior Data Engineer, Core Banking Migrations (New South Wales)
🏢 Matchbox
📍 New South Wales