MUST have Investment specific Data Engineering experience
Contract:
6 Months - Market rate
Location:
Melbourne / Hybrid working workplace
Job Overview
Join our financial client as a Data Engineer specialising in Investments. This role involves developing and maintaining data pipelines and products that enable advanced investment analytics, supporting the management of fixed income, defensive assets, and portfolio insights.
Key Responsibilities
Design and deliver high-quality data solutions for investment teams.
Build resilient data pipelines in Snowflake, Python, and related tools.
Collaborate with investment stakeholders to optimise data-driven decision-making.
Support investment data domains including IBOR, analytics, and performance books.
Ensure data quality, consistency, and integrity across platforms.
Bachelor's Degree or Diploma in Business, Technology,



or similar field.
Proven experience with investment data products and pipelines.
Proficiency in Snowflake, DBT, Erwin Data Modeller, Python.
Strong understanding of investment domain data including market data and asset classes.
Experience working within CI/CD settings and supporting Agile development.
Knowledge of financial modelling and industry analysis.
Mentoring or leadership experience in data teams.
Familiarity with middleware or enterprise data management solutions.
Additional Requirements
Ability to operate in a rapid-paced environment with multiple priorities.
Commitment to ongoing learning of financial markets and investment trends.
J-*-Ljbffr

📌 Data Engineer Investments Melbourne
🏢 Talenza
📍 Melbourne