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Senior Data Engineer (Financial Analytics)

Melbourne, Victoria🌐 Remote💼 Full-time🗓 2026-09-07 → 2026-09-24

Core

Designing and maintaining data pipelines, transformation logic, and data quality checks for a complex multi-jurisdiction financial data platform.

Role type

Senior Data Engineer (Financial Analytics)

Builds

Reporting pipelines, datasets, and automated data delivery processes for a global trading platform.

Domain

Financial services / Trading / Data Engineering

Deliverable

production ML models | product features | dashboards & analysis

Required skills

PostgreSQL (stored procedures, CTEs, window functions, SCD2), Apache Airflow, Data Warehouse Architecture (staging/core/mart, incremental loads), ELT/ETL pipeline design, Automated data quality checks, Git, JIRA, Financial/trading domain knowledge

Preferred skills

dbt, Snowflake, Python scripting, AI-assisted development tools

Technologies

PostgreSQL, Airflow, Git, JIRA, dbt, Snowflake

Responsibilities

Implement enhancements to existing reporting processes; Design and develop new reporting pipelines; Automate data delivery processes; Identify and implement automated data quality checks; Resolve data quality issues; Collaborate with business stakeholders to gather requirements and clarify logic

Seniority

Senior, hands-on IC

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