Senior ETF Engineer, Investment Technology

As one of the world’s leading independent global investment firms, Invesco is dedicated to rethinking possibilities for our clients. By delivering the combined power of our distinctive investment management capabilities, we provide a wide range of investment strategies and vehicles to our clients around the world. If you're looking for challenging work, intelligent colleagues, and exposure across a global footprint, come explore your potential  Description We have an outstanding benefits package which includes:

Company-provided healthcareA competitive annual leave allowance

Flexible working options, including hybrid working arrangements

Generous pension provisions

Income protection

Health and wellness benefits

Volunteering days Enhanced parental leave

Life insurance

Your role :

We are seeking a Senior Engineer, Investment Technology to design, build, and support capabilities for the Invesco ETF platform, including applications and workflows that power portfolio construction, trading, analytics, and operational processes across Equities, Fixed Income, and Alternatives.

This role will partner closely with portfolio managers, quantitative researchers, and business teams to deliver scalable, high-performance solutions that support both technology-owned platforms and business-driven workflows (e.g., co-developed tools such as dashboards and portfolio management utilities). The engineer will play a key role in modernizing the platform architectures while improving data pipelines, system reliability, and development standards.

You will work in a fast-paced environment requiring strong expertise in data engineering, application development, and distributed systems, with a focus on building resilient, production-grade solutions and reducing operational risk. The role requires a hands-on mindset, strong ownership, and the ability to collaborate across global teams to drive delivery and continuous improvement.  The role reports to Associate Director, Investment Technology supporting the ETFs business.

What you will be doing:

AI‑accelerated engineering: institutionalize daily use of AI tools (e.g., Git Hub Copilot, Claude, ChatGPT, AWS Bedrock) for coding, tests, documentation, and prototyping; set review standards for AI‑generated code.

Design, build, and maintain data engineering workflows and platform services supporting the Vision platform and model delivery ecosystem

Develop and extend platform components responsible for data ingestion, transformation, validation, and routing across internal and external systems

Build robust Python-based services, APIs, and microservices supporting portfolio analytics, optimization workflows, and data pipelines

Design and optimize SQL-based data processing (PostgreSQL, SQL Server), including complex queries, performance tuning, and large-scale ETL workflows.  Implement and support distributed, event-driven architectures (e.g., Kafka, asynchronous workflows) for scalable platform execution.

Develop and maintain cloud-native applications on AWS (e.g., Lambda, S3, ECS/EKS, Step Functions, Aurora).Design and operate CI/CD pipelines and deployment processes to ensure reliable and repeatable releases.  Ensure data quality, auditability, and observability through logging, monitoring, lineage tracking, and validation frameworks

Collaborate closely with investment teams to translate portfolio construction, risk, and analytics requirements into scalable technical solutions.  Continuously improve the platform through modern engineering practices, including testing, performance optimization, and AI-assisted development.  Participate in production support and on-call rotation as needed.

What you will bring:

Proven hands-on experience in software engineering or data engineering (financial services or asset management experience preferred).  Proven Python experience, including data processing, APIs, or service-based architecture.  Proven SQL experience (PostgreSQL, SQL Server, and/or Snowflake), including performance tuning and ETL workflows.  

Experience with cloud-native development (AWS) and containerized environments. ,  

Experience with CI/CD, Dev Ops practices, and automated testing.  Exposure…