Senior ETF Engineer, Investment Technology in London

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 at Invesco.

We have an outstanding benefits package which includes:

• Company-provided healthcare
• A 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., GitHub 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, DevOps practices, and automated testing.
• Exposure to portfolio analytics, risk models, or investment workflows preferred.
• AI‑assisted development fluency: daily use of AI tools for coding, test generation, refactoring, documentation, and design exploration—plus the ability to evaluate/correct AI‑generated code for security, performance, and maintainability.
• Understanding of data engineering principles (data modeling, pipelines, validation, lineage, error handling).
• Familiarity with distributed systems and event-driven architecture (e.g., Kafka, asynchronous processing).
• Bachelor’s in Statistics, Computer Science or other similar advanced degrees from a top tier educational institution preferred.
• CFA, CPA, CIPM, CAIA, and/or FRM preferred, but not required.
• Problem-solving skills and the ability to operate in a fast-paced, high-impact environment.

Disability Confident Scheme: Applicants who opt in to the Disability Confident Scheme and meet the ‘minimum criteria’ for the role will be offered an interview. We are committed to providing an inclusive recruitment process for all candidates who make an application. By opting-in to this scheme, applicants will be disclosing that they have a disability solely for the purpose of the Disability Confident Scheme. The Disability Confident Scheme only guarantees an interview – it does not automatically mean that applicants interviewed will gain employment with Invesco at that time. To apply through the Disability Confident Scheme, you’ll need to firstly ensure you have applied for the role via our external careers page. Following this, you’ll need to email us at EMEA-TalentAcquisition@invesco.com confirming your wish to opt-in, alongside your contact details and the title of the role you wish to apply for.

Full Time / Part Time: Full time

Worker Type: Employee

Job Exempt: Yes

Workplace Model: Pursuant to Invesco’s Workplace Policy, employees are expected to comply with the firm’s most current workplace model, which as of October 1, 2025, includes spending at least four full days each week working in the role's advertised office. This reflects our belief that spending time together in the office helps us build stronger relationships, collaborate more easily, and support each other’s growth and development.

If this sounds like you, we’d love to hear from you! We want all of our candidates to shine during the application and selection process, so if you need any adjustments to be made, please send an e-mail to emea-talentacquisition@invesco.com. Please include your name, the job you are interested in, and the type of adjustment you need (for example; breaks during your interview, remote interviews, additional time for assessments or other required adjustments).

We promote a working environment that welcomes everyone and creates inclusive teams, celebrates difference and encourages everyone to be themselves at work.

Our commitment to the community and environmental, social and governance investing: We partner with charitable organisations globally to make an impact in the communities where we live and work. Our people are encouraged to support the charities they feel most passionate about. We are also committed to environmental, social and governance (ESG) investing. We serve our clients in this space as a trusted partner both on specific responsible investment product strategies as well as part of our commitment to deliver a superior investment experience.

Recruitment Agencies: Invesco has an in-house recruitment team, which focuses on sourcing great candidates directly. Invesco will not accept unsolicited resumes from agency or search firm recruiters. Fees will not be paid in the event a candidate submitted by a recruiter without an agreement in place is hired. When we do use agencies, we have a PSL in place, so please do not contact hiring managers directly.

Regulatory: This position may fall in-scope of one or multiple regimes/directives.