Architect scalable data solutions with Azure & Snowflake Build high-performance pipelines for investment data Drive innovation in a growing investment team Sydney CBD Investment Management Industry Hybrid working – 3 days in office About the role: Join a leading investment management firm to drive efficiency and scalability. With 25 portfolios, a growing investment team, and a strong market position, the firm is focused on enhancing its data infrastructure to support new investment strategies. This role is not about quant analytics - it’s about engineering robust, well-structured data solutions that enable investment teams to access high-quality, well-structured data efficiently. The Senior Data Engineer will play a strategic role in defining cloud architecture, modernising data pipelines and scaling infrastructure to handle large volumes of market data. You’ll work within the investment team, closely collaborating with portfolio managers and researchers, ensuring seamless data accessibility and integration for decision-making. This is an opportunity to bring modern cloud skills into the team, bridge technical knowledge gaps and introduce new methodologies to uplift infrastructure and drive innovation. What’s a typical day look like? Architect, design and implement scalable, efficient data pipelines to process large investment data sets for research and production consumption Lead the migration to Azure & Snowflake, ensuring optimal performance and best practices Develop methodologies to manage and structure large-scale data efficiently Define and execute long-term infrastructure strategies to support investment data needs Work closely with portfolio managers and researchers, attending research meetings to align data solutions with business needs. Implement and manage Airflow, Dagster, Spark, or similar tools for automated workflows and distributed computing. Stay ahead of emerging technologies, introduce new tools and optimise data delivery. About you: 5 years in a Data Engineering role with a focus designing and implementing data architectures. Strong Python & SQL skills, particularly for data pipeline automation and querying large datasets. Expertise in Azure Cloud and Snowflake for data architecture and processing. Experience working with market data feeds and investment-related datasets. Familiarity with data orchestration tools such as Airflow or Dagster. Understanding of distributed computing frameworks (Spark or similar). Familiar with Financial Markets and Equity Investment Data highly desirable Experience with vendor data feeds such as Factset, Bloomberg, S&P etc highly desirable Curious, driven and innovative - constantly seeking ways to improve and modernise infrastructure. Must be an Australian Citizen or Permanent Resident If you're a Senior Data Engineer with expertise in Investment Management, Azure, Snowflake and data infrastructure, we want to hear from you! Reach out to Amaleen for more information, or apply now to be part of a forward-thinking investment team! Kapital Consulting is a specialist recruitment partner focused on Funds, Investments, Prop Trading and Insurance. Specialising in Technology, Data, Cyber and Project Services recruitment across Australia. For more information, connect with us at www.kapitalconsulting.com.au and follow us on www.linkedin.com/company/kapital-consulting.