We are a leading trading platform that is ambitiously expanding to the four corners of the globe.
Our top-rated products have won prestigious industry awards for their cutting-edge technology and seamless client experience.
We deliver only the best, so we are always in search of the best people to join our ever-growing talented team.We are seeking a Data Engineer to join our Financial Analytics team developing and maintaining data pipelines, transformation logic, and data quality checks in a complex multi-jurisdiction financial data platform (PostgreSQL DWH + Airflow orchestration).
Implement enhancements and changes to existing reporting processes to improve accuracy, performance, and usabilityDesign and develop new reporting pipelines and datasets aligned with business requirementsAutomate of data delivery processesIdentify and implementation of automated data quality checksResolve of issues related to data qualityCollaborate with business stakeholders to gather reporting requirements, clarify logic, and ensure outputs meet expectations4+ years in analytics engineering or similar data-focused rolesAdvanced PostgreSQL: stored procedures and functions, complex CTEs, window functions, SCD2 patterns, query plan analysis and optimisationStrong understanding of data warehouse architecture: staging, core, and data mart layers; incremental load patterns; slowly changing dimensionsHands-on experience with Apache Airflow: DAG authoring, scheduling, dependency management, and failure handlingProficiency with Git (GitLab or GitHub)



and JIRAExperience designing and evolving data warehouse architecture and data modelsTrack record of building robust, maintainable ELT/ETL pipelines in productionExperience implementing automated data quality checksDomain fluency in financial and trading concepts, with the ability to understand requirements and clearly explain implemented logic to business stakeholdersHigh degree of autonomy: able to reverse-engineer undocumented systems, identify root causes, and take end-to-end ownership of pipelines and calculation logicComfortable using AI-assisted development tools (e.g., Claude, Copilot, Cursor) to improve productivityHands-on experience with dbt, particularly in the context of migration or adoption initiativesExposure to Snowflake or robust interest in working with it as part of a target data architectureProficiency in Python for scripting, automation, and data pipeline toolingBackground in fintech or financial services in any capacityCompetitive compensationA generous paid leave policy, supporting a healthy work–life balanceTwo additional paid days per year dedicated to volunteering and giving backPrivate medical insurance for your peace of mindAn additional flexible benefits budget, allowing you to tailor benefits to your needsFlexible working modeThe opportunity to work from almost anywhere in the world for up to 30 days per yearAnnual company-wide events held in locations around the globeIn-office massages to support wellbeing
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📌 Senior Data Engineer (Financial Analytics Focus) (Melbourne)
🏢 Capital
📍 Melbourne