About Invesco 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.
About the Team The North America Client Transactions & Data team is to streamline access to Client Information. We provide predictable data that enables our partners to respond more nimbly and rapidly to our changing business environment. By centralizing and delivery of our client data as a product, we provide transparent roadmaps while using a standardized, consistent & predictable in engineering practices.
About the Role You will be responsible for supporting advanced analytics initiatives and data integration. Interact with Business Owners, Product Owners, Business Data Analysts, and Application Developers, to design, build and manage large-scale batch and real-time data pipelines utilizing various data analytic frameworks. The position requires a solid technical hands‑on‑skilled engineer. A successful candidate must demonstrate strong analytical, design, programming, and debugging skills in a large-scale analytics solution.
Responsibilities Managing application and data integration platforms using AWS Cloud components
Designing and building robust data pipelines using modern data engineering practices in a cloud‑native architecture
Partnering with business stakeholders to understand requirements and support the full lifecycle of development, reporting, and integration projects — from planning and design through testing and rollout — following Agile standards
Ensuring data availability and enablement for business reporting and analytics within established SLAs




Creating and maintaining architecture documentation, data models, and design artifacts
Developing and maintaining production‑grade code and automation to evolve data‑driven, analytical capabilities — with a focus on understanding customer behavior and competitive dynamics
Identifying and implementing cutting-edge solutions and best practices to improve operational efficiency and pipeline reliability
Communicating across business areas to formulate technical requirements for data ingestion, validation, scheduling, and delivery
Requirements 5–7 years of experience working in AWS, including services such as S3, RDS, Lambda, Glue, SNS, and related components
3–5 years of experience designing, building, and maintaining data pipelines using Apache Airflow
Strong understanding of ETL/ELT patterns, with solid expertise in SQL and query performance optimization
3–5 years of experience working with Snowflake
Strong programming skills in Python for data processing, automation, and pipeline development
Experience with source control and collaboration tools (e.g., GitHub, Bitbucket) and CI/CD practices for automated deployment of data and analytics workloads
1–2 years of experience integrating AI‑driven tools or services (e.g., AWS AI services, Snowflake Cortex Code, LLM‑enabled applications, or analytics platforms) into data workflows is a plus




3–5 years of hands‑on experience in data modeling, data warehousing, and large‑scale data architecture design
Business Acumen: Familiarity with Agile Methodologies. Financial/Investment Management industry experience
Problem Solving: Comfortable working with ambiguity (e.g., imperfect data, loosely defined concepts, ideas, or goals) and translating these into more tangible outputs
Leadership: Typically, no supervisory responsibilities but may provide informal guidance to new team members
Leads projects and processes
Education BS in Computer Science, Applied Mathematics, Physics, Statistics or area of study related to data sciences and data mining or relevant experience.
Compensation & Benefits The salary range for this position in Charlottetown is $80,000 - $85,000 per year. The total compensation offered for this position includes salary and incentive pay and will vary based on skills, experience and location.
Workplace Model: Employees are expected to comply with the firm’s most current workplace policy, spending at least four full days each week working in an Invesco office.
Hybrid working environment
RRSP Contributions
Health & Wellness Benefits
Work flexibility Programs
Parental Leave Benefits
Study Support
Employment Type Full Time / Part Time; Full Time. Worker Type: Employee. Job Exempt: No.
Legal & Accessibility Invesco is committed to fair and accessible employment practices. If selected for an interview, we will work with you to ensure that your interview is accessible and accommodation is provided. Please contact us at [email protected] or 1.(phone hidden) to let us know if you require accommodation for an interview due to a disability.

#J-18808-Ljbffr

📌 Senior Engineer – Digital Distribution & Engagement (Prince Edward Island)
🏢 2530 Invesco Canada
📍 Prince Edward Island