Data Developer (Financial Services)
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Data Developer (Financial Services)
Conditions
Posted Date May 18, 2026 Employment Type Full-time Experience Level Mid-Senior level Location Australia Annual Salary 120,000 - 150,000 AUD Category ** Programming ** Company **certus recruitment group **
Data Developer (Financial Services)
Data Developer (Financial Services A MUST) 📍 Melbourne / Sydney Location ONLY (But role is 100% remote) 💰 $100K – $150K base + super 🧑 💼 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 Interested in remote work opportunities in Development & Programming? Discover Development & Programming Remote Jobs featuring exclusive positions from top companies that offer flexible work arrangements.
- 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 ofLinux environments
- Solid foundation in mathematics and statistics
- Ability to thrive in fast-paced, high-pressure environments Browse our curated collection of remote jobs across all categories and industries, featuring positions from top companies worldwide.
- 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
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