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Senior Software Engineer
LinkedIn Recruiter Post
Design, develop, and maintain RESTful microservices using Java 8+ and Spring Boot. Deploy on PCF and GKE, and collaborate with teams.
About the role
- Data Developer at AIMCo transforming investment data into actionable intelligence. Collaborating with stakeholders to design data products that enhance business decision-making.
Responsibilities
- 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.
Benefits
- Inclusive, modern workplace
- Well-being prioritized
- Professional development opportunities
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