Senior ETF Engineer, Investment Technology

Senior Engineer, Investment Technology

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. The 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 dashboards and portfolio‑management utilities).

The engineer will play a key role in modernising platform architectures while improving data pipelines, system reliability and development standards.

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

• Build robust Python‑based services, APIs and micro‑services supporting portfolio analytics, optimisation workflows and data pipelines.

• Design and optimise SQL‑based data processing (PostgreSQL, SQL Server), including complex queries, performance tuning and large‑scale ETL workflows.

• Implement and support distributed, event‑driven architectures (Kafka, asynchronous workflows) for scalable platform execution.

• Develop and maintain cloud‑native applications on AWS (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 optimisation and AI‑assisted development.

• Participate in production support and on‑call rotation as needed.

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

• 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 containerised environments.
• Experience with CI/CD, Dev Ops 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 – and the ability to evaluate/correct AI‑generated code for security, performance and maintainability.
• Understanding of data‑engineering principles (data modelling, pipelines, validation, lineage, error handling).
• Familiarity with distributed systems and event‑driven architecture (Kafka, asynchronous processing).
• Bachelor’s in Statistics, Computer Science or a related advanced degree from a top‑tier 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.
• Strong ownership, collaboration and a hands‑on mindset.

• Company‑provided healthcare
• 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

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 advertised office.

We are committed to providing an inclusive recruitment process for all candidates. To apply through the Disability Confident Scheme, applicants must first apply for the role via our external careers page and then email EMEA‑ confirming their wish to opt‑in, providing their contact details and the title of the role. The Scheme guarantees an interview only for those who meet the minimum criteria;

it does not guarantee employment. We welcome individuals with disabilities and make reasonable adjustments to ensure a fair application process.