Investment Tech Engineer: AI-Driven Cloud & Data Pipelines

Invesco

England

Hybrid

GBP 75,000 - 110,000

Full time

10 days ago
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Benefits offered by this job

Healthcare
Annual leave
Hybrid working
Pension provisions
Income protection
Health and wellness benefits
Volunteer days
Parental leave
Life insurance

Job summary

Invesco is seeking an Advanced Engineer to design, build and support investment technology solutions. You will work with Python/SQL, modern UI frameworks and cloud data platforms, delivering production-ready software and data pipelines.

The role emphasizes AI-assisted tooling, CI/CD, testing and data quality controls, with collaboration across architecture, security and distribution teams to meet enterprise standards.

Qualifications

  • Proven software engineering delivery across the full lifecycle.
  • Experience delivering data or software solutions to production.
  • Knowledge of CI/CD, automated testing, observability and data quality controls.
  • Experience with stakeholders to capture requirements.

Responsibilities

  • Build, test, deploy and support applications and services across the Cloud.
  • Apply AI/ML techniques and AI-assisted tooling to accelerate delivery.
  • Design, develop and maintain software and data pipelines for analytics.
  • Collaborate with Cloud Teams, Enterprise Architecture and Security.
  • Ensure solutions align with enterprise standards and Investments strategy.

Skills

Python
SQL
CI/CD
Observability
Data quality
Agile
Communication

Education

Bachelor's degree in Computer Science/Engineering/IT

Tools

Snowflake
PostgreSQL
Streamlit
ReactJS
GitHub Copilot

Job description

Invesco is seeking an Advanced Engineer to design, build and support investment technology solutions. You will work with Python/SQL, modern UI frameworks and cloud data platforms, delivering production-ready software and data pipelines.

The role emphasizes AI-assisted tooling, CI/CD, testing and data quality controls, with collaboration across architecture, security and distribution teams to meet enterprise standards.

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