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Data Engineer

Melbourne, Melbourne Region💼 Full-time🗓 2026-09-21 → 2026-09-24

Core

Design, build, and maintain end-to-end data pipelines for a global CFD trading platform, ensuring data accuracy, security, and compliance for regulated financial markets.

Role type

Senior Data Engineer (Cloud & Data Platform)

Builds

High-performance data lake, warehouse, and lakehouse infrastructure for internal and third-party financial data.

Domain

Financial Technology (FinTech) / Cloud Data Engineering

Deliverable

production ML models | product features | dashboards & analysis

Required skills

SQL, Python, PySpark, AWS Glue, dbt, data governance, CI/CD, streaming data ingestion, ETL/ELT design

Preferred skills

Experience in regulated data environments, interest in trading/FX, knowledge of AWS infrastructure security (IAM, VPC, Secrets Manager)

Technologies

AWS (Glue, EMR, S3, Redshift, Lambda, Athena), PySpark, dbt, SQL, Python

Responsibilities

Design and build end-to-end data pipelines; lead complex pipeline components and architecture; implement data validation, cleansing, and security frameworks; monitor and optimize pipeline performance and cost; mentor junior engineers; evaluate new data sources and APIs.

Seniority

Senior, hands-on IC with mentorship responsibilities

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