Data Developer

Role Overview

• Partner with stakeholders to create powerful data products that unlock fresh insights and automate workflows
• Design & build sophisticated data models, pipelines, quality rules, and integration processes to acquire, transform, and store high-value investment data from multiple sources
• Develop optimized, cloud-native workflows that feed data warehouses and lakes, ensuring scalability, performance, and reliability
• Collaborate closely with developers, data architects, and business analysts to deliver scalable, business-critical solutions on cutting-edge cloud platforms
• Monitor and fine-tune performance, troubleshoot bottlenecks, and push query optimization
• Stay ahead of developments in investment data management, analytics, AI, and financial technology, recommending tools, frameworks, and methods that elevate capabilities

Requirements

• Bachelor's or Master's degree in Computer Science, Data Science, Finance, or a related field
• Solid experience (5+ years) in data engineering, data science, BI development and data modelling, or a similar role, preferably within the investment industry
• Strong proficiency in programming languages like Python, SQL, and R
• Excellent understanding of modern big data technologies including data lakes and data warehouses with knowledge of the underlying architecture
• Proven experience designing BI solutions from design to CI/CD deployment
• In-depth knowledge of investment data sources, such as market data feeds, trading platforms, and financial databases
• Familiarity with investment analytics concepts, including portfolio analysis, risk assessment, and performance attribution
• Experience with ETL tools, data integration platforms, and data visualization tools
• Proven experience of working with cloud-based system
• Strong understanding of relational and non-relational databases, data modeling, and query optimization
• Knowledge of investment regulations, compliance requirements, and data privacy regulations in the investment industry
• AI-assisted development experience in data engineering: Proven experience using code assistants such as GitHub Copilot and/or Claude/Claude Code (or similar) to build and maintain data pipelines, transformations, and data quality/observability artifacts, while applying strong validation and review practices.
• Demonstrates a strong commitment to AIMCo’s core values of excellence, transparency, humility, integrity, and collaboration, and inspiring the same in others.

Tech Stack

• Cloud
• ETL
• Python
• SQL

Benefits

• Inclusive, modern workplace
• Well-being prioritized
• Professional development opportunities