Invesco
Senior ETF Engineer, Investment Technology
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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. We deliver a wide range of investment strategies and vehicles worldwide through our distinctive capabilities. Join us if you seek challenging work, intelligent colleagues, and exposure across a global footprint—explore your full potential at Invesco.
Benefits Package
We offer an outstanding benefits package, including:
- Company-provided healthcare
- Competitive annual leave allowance
- Flexible working options, including hybrid arrangements
- Generous pension provisions
- Income protection
- Health and wellness benefits
- Volunteering days
- Enhanced parental leave
- Life insurance
Role: Senior Engineer, Investment Technology (ETF Platform)
About the Role
We are seeking a Senior Engineer, Investment Technology to design, build, and support capabilities for the Invesco ETF platform, encompassing applications and workflows for portfolio construction, trading, analytics, and operational processes across Equities, Fixed Income, and Alternatives.
Key responsibilities include:
- Collaborating with portfolio managers, quantitative researchers, and business teams to deliver scalable, high-performance solutions for both technology-owned platforms and business-driven workflows (e.g., dashboards, portfolio management utilities).
- Modernizing platform architectures while enhancing data pipelines, system reliability, and development standards.
- Ensuring a fast-paced, high-impact environment that values strong data engineering, application development, and distributed systems expertise.
This role reports to the Associate Director, Investment Technology, supporting the ETFs business.
Key Responsibilities
You will:
- AI-accelerated engineering: Institutionalize daily use of AI tools (e.g., GitHub Copilot, Claude, ChatGPT, AWS Bedrock) for coding, testing, documentation, and prototyping, while setting 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 components responsible for data ingestion, transformation, validation, and routing across internal/external systems.
- Build 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 to ensure reliable, repeatable releases.
- Ensure data quality, auditability, and observability through logging, monitoring, lineage tracking, and validation frameworks.
- Collaborate with investment teams to translate portfolio construction, risk, and analytics requirements into scalable technical solutions.
- Continuously improve the platform using modern practices (e.g., testing, performance optimization, AI-assisted development).
- Participate in production support and on-call rotation as required.
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Qualifications & Experience
Minimum Requirements
- Proven hands-on experience in software or data engineering (preferably within financial services or asset management).
- Proven Python experience (data processing, APIs, or service-based architecture).
- Proven SQL experience (PostgreSQL, SQL Server, and/or Snowflake) with performance tuning and ETL workflows.
- Experience with cloud-native development (AWS) and containerized environments.
- CI/CD, DevOps practices, and automated testing expertise.
- Familiarity with portfolio analytics, risk models, or investment workflows (preferred).
Technical & Cultural Fit
- AI tool fluency: Daily use of AI for coding, test generation, refactoring, documentation, and design; ability to evaluate/correct AI-generated code for security, performance, and maintainability.
- Deep understanding of data engineering principles (modeling, pipelines, validation, lineage, error handling).
- Knowledge of distributed systems and event-driven architecture (e.g., Kafka, asynchronous processing).
- Bachelor’s degree in Statistics, Computer Science, or a related field (preferably from a top-tier educational institution).
- Preferred certifications: CFA, CPA, CIPM, CAIA, or FRM (but not mandatory).
- Strong problem-solving skills and the ability to thrive in a fast-paced, high-impact environment.
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Disability Confident Scheme
Applicants who accept the Disability Confident Scheme and meet the minimum criteria will receive an interview. This does not guarantee employment; it ensures inclusivity in the recruitment process.
To apply under this scheme:
- Submit your application via Invesco’s careers page.
- Email EMEA-TalentAcquisition@invesco.com with:
- Confirmation of opt-in
- Your contact details
- Job title (Senior Engineer, Investment Technology)
Location & Working Model
- Job Type: Full-time
- Worker Type: Employee
- Job Exempt: Yes
- Workplace Model: Offices with the current policy requiring minimum 4 in-office days per week (as of October 1, 2025). Invesco prioritizes in-person collaboration to support team growth.
Equal Opportunity & Inclusivity Statement
“We want all of our candidates to shine.” If you need interview adjustments (e.g., breaks, remote options), contact: e-mea-talentacquisition@invesco.com Subject Line: Name, Job Title, and Requested Adjustments.
We celebrate diversity, welcome all backgrounds, and encourage you to be your authentic self.
Our Commitment
Invesco partners with global charities to drive positive community impact and champions Environmental, Social, and Governance (ESG) investing. Join us as a trusted partner delivering responsible investment solutions.
Recruiter Note:
Invesco uses its in-house recruitment team. No unsolicited agency submissions will be considered. Fees are not paid without a prior agreement; recruiters should only engage via Prospect Sourcing License (PSL).
Apply now if you believe you can deliver excellence in this high-impact role. Invest in your future at Invesco.
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