At a Glance
- Tasks: Design and build innovative solutions for the Invesco ETF platform using cutting-edge technology.
- Company: Join a leading investment technology firm with a focus on collaboration and innovation.
- Benefits: Enjoy competitive healthcare, flexible working options, and generous leave policies.
- Other info: Be part of a dynamic team with opportunities for growth and AI-driven engineering.
- Why this job: Make a real impact in finance by modernising platforms and enhancing data workflows.
- Qualifications: Experience in Python, SQL, and cloud-native development is essential.
The predicted salary is between 63000 - 77000 £ per year.
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.
Role Overview
- 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 (Postgre SQL, 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.
Responsibilities – AI‑Accelerated Engineering
Institutionalise daily use of AI tools (Git Hub Copilot, Claude, Chat GPT, AWS Bedrock) for coding, tests, documentation and prototyping; set review standards for AI‑generated code.
Qualifications
- 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 (Postgre SQL, 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.
Benefits
- 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
- Workplace Model
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.
Legal & Inclusive Hiring Statement
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‑Talent Acquisition@invesco. com 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.
#J-18808-Ljbffr
Senior ETF Engineer, Investment Technology employer: 3000 Invesco UK Limited
Invesco is an exceptional employer, offering a dynamic work environment that prioritises employee well-being and professional growth. With a comprehensive benefits package, including flexible working options and generous parental leave, employees are supported in achieving a healthy work-life balance. The EMEA AML Officer role provides the opportunity to engage in meaningful work that directly contributes to safeguarding the firm against financial crime, while also fostering collaboration with industry experts and enhancing your career in a globally recognised asset management firm.
StudySmarter Expert Advice🤫
We think this is how you could land Senior ETF Engineer, Investment Technology
✨Join Local Tech Meetups
Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at 3000 Invesco UK Limited or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!
✨Contribute to Open Source Projects
Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to 3000 Invesco UK Limited.
✨Tap into Online Developer Communities
Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like 3000 Invesco UK Limited.
✨Explore Job Boards Specifically for Tech Roles
Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like 3000 Invesco UK Limited that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!
We think you need these skills to ace Senior ETF Engineer, Investment Technology
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at 3000 Invesco UK Limited.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at 3000 Invesco UK Limited and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at 3000 Invesco UK Limited
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If 3000 Invesco UK Limited uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.
