Department:Finance
Type:REMOTE
Region:Australia
Location:Melbourne, Victoria, Australia
Experience:Mid-Senior level
Salary:A$100,000 - A$150,000
Skills:
PYTHONPANDASETLAWSDATABRICKSKAFKALINUXFINANCIAL DATAMARKET DATA FEEDS
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Job Description

Posted on: June 6, 2026

Data Developer (Financial Services A MUST)

📍 Melbourne / Sydney Location ONLY (But role is 100% remote)

💰 $100K – $150K base + super

đź§‘ đź’Ľ Permanent Full-Time Role (real time data via market feeds experience required)

We are seeking a Data Developer for a hedge fund to design, build, and operate a modern data platform that powers quantitative research, trading, and risk management across multiple asset classes.

This role sits within a central data engineering team at the intersection of data engineering and software development, where you will own end-to-end data pipelines, build next-generation security master systems, and ensure high-quality, reliable data delivery to support investment and trading decisions.

You’ll work in a fast-paced, high-performance environment where data quality, speed, and scalability directly impact research and trading outcomes.

Key Responsibilities

  • Develop and maintain scalable Python-based ETL pipelines for ingesting and transforming large-scale market data from multiple sources
  • Build and manage cloud-based data lake solutions (AWS / Databricks) for structured and unstructured data storage and retrieval
  • Implement robust data quality, validation, and cleansing frameworks to ensure accuracy of financial time-series data
  • Optimise data workflows for low latency and high throughput to support quantitative research, trading, and risk functions
  • Collaborate closely with portfolio managers, quantitative researchers, and traders to deliver tailored data solutions for modelling and strategy development
  • Contribute to the design and enhancement of the security master database
  • Analyse large datasets to generate insights that inform trading and risk decisions
  • Document system architecture, data flows, and technical solutions to ensure transparency, scalability, and reproducibility

Requirements

  • Bachelor’s degree (or higher) in Computer Science, Engineering, Mathematics, Statistics, or related quantitative discipline
  • 2+ years’ experience developing Python-based data or financial systems (At least 2 years of relevant experience in developing python-based financial software) Financial Services a MUST
  • Real time data via market feeds experience required
  • Strong Python skills, including data manipulation using Pandas
  • Exposure to financial datasets across multiple asset classes
  • Strong understanding of Linux environments
  • Solid foundation in mathematics and statistics
  • Ability to thrive in fast-paced, high-pressure environments
  • Strong problem-solving and communication skills (written and verbal)

Nice to Haves

  • Experience with Kafka or other streaming technologies
  • Understanding of financial market data, symbology, and reference data across equities, futures, credit, indices, and OTC markets
  • Experience working in hedge funds, prop trading, or quantitative finance environments
  • Cloud experience (AWS / Azure)
  • Exposure to LLMs, AI/ML integration, or modern data/AI architecture

Interested candidates with full Australian working rights are encouraged to apply and join a growing, forward-thinking team.Please email me your CV to c.thum@certusrecruitment.com then give Charmaine Thum a call on 0439 320 538

Originally posted on LinkedIn

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