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).
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).
Responsibilities
- Implement enhancements and changes to existing reporting processes to improve accuracy, performance, and usability
- Design and develop new reporting pipelines and datasets aligned with business requirements
- Automate of data delivery processes
- Identify and implementation of automated data quality checks
- Resolve of issues related to data quality
- Collaborate with business stakeholders to gather reporting requirements, clarify logic, and ensure outputs meet expectations
Requirements
- 4+ years in analytics engineering or similar data-focused roles
- Advanced PostgreSQL: stored procedures and functions, complex CTEs, window functions, SCD2 patterns, query plan analysis and optimisation
- Strong understanding of data warehouse architecture: staging, core, and data mart layers; incremental load patterns; slowly changing dimensions
- Hands-on experience with Apache Airflow: DAG authoring, scheduling, dependency management, and failure handling
- Proficiency with Git (GitLab or GitHub) and JIRA
- Experience designing and evolving data warehouse architecture and data models
- Track record of building robust, maintainable ELT/ETL pipelines in production
- Experience implementing automated data quality checks
- Domain fluency in financial and trading concepts, with the ability to understand requirements and clearly explain implemented logic to business stakeholders
- High degree of autonomy: able to reverse-engineer undocumented systems, identify root causes, and take end-to-end ownership of pipelines and calculation logic
- Comfortable using AI-assisted development tools (e.g., Claude, Copilot, Cursor) to improve productivity
Nice to have
- Hands-on experience with dbt, particularly in the context of migration or adoption initiatives
- Exposure to Snowflake or strong interest in working with it as part of a target data architecture
- Proficiency in Python for scripting, automation, and data pipeline tooling
- Background in fintech or financial services in any capacity
Data Engineer (Financial Analytics focus) in Melbourne employer: Capital Com Australia Services PTY Ltd
At Capital.com, we pride ourselves on being an exceptional employer that values innovation and employee wellbeing. Our vibrant work culture fosters collaboration and growth, offering generous benefits such as a comprehensive health plan, ample annual leave, and the flexibility to work remotely from anywhere in the world. Join us in our mission to redefine the trading experience while enjoying meaningful career development opportunities in a dynamic and supportive environment.
Contact Details:
Capital Com Australia Services PTY Ltd Recruitment Team
