This job is with Invesco, an inclusive employer and a member of myGwork – the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly.

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.
Job Description 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 strong technical hands-on-skilled engineer. A successful candidate must demonstrate strong analytical, design, programing, and debugging skills in a large-scale analytics solutions.
Responsibilities of the Role:

Managing application and data integration platforms using AWS Cloud Components

Building robust data pipeline using modern data engineering practice in a Cloud architecture

Understand the business and enable the full life cycle of development/ reporting/ integration projects: planning, design, develop, testing and rollout that confirms to Agile Standards





Responsible for Data availability /enablement for business reporting and analytics within the SLA

Create and manage data, applications and technology architecture documentation and design artifacts

Help maintain the code and capability environment required to evolve data-driven, analytical capabilities with the end goal of understanding customer behavior and competitive dynamics

Strong experience with writing complex programs, implementing architectures, and enabling automation in these environments

Communicate with various business areas, partner on the formulation of technical requirements for data ingestion, verification, scheduling, etc.

Requirements of the Role:
5-7 years of experience in data modeling, data warehousing, and big data architectures

5-7 years of experience of Amazon cloud (AWS)- S3, RDS, Lambda, Glue, SNS, Terraform etc.

5-7 years of experience in building data pipelines in tools using Apache Airflow, Airbyte

Positive understanding of ETL/ELT experience and positive knowledge of SQL and query optimization techniques (ie DBT)

3-5 years of experience with Snowflake, with Cortex AI and LLM prompt engineering a nice to have

Strong experience with databases such as Snowflake Postgres, Aurora, Athena

Strong programming experience with Python, Linux/bash scripting, Ansible

Experience using GitHub, Bit Bucket, or other code repository solution

Understanding and knowledge of Automated code Deployments CI/CD

Education Required
BS in Computer Science, Applied Mathematics, Physics, Statistics or area of study related to data sciences and data mining or relevant experience

The salary range for this position in Charlottetown is $70,000 - $75,000 year.



The total compensation offered for this position includes salary and incentive pay and will vary based on skills, experience and location
Sr. Eng., Distrib Tech
The salary range for this position in Charlottetown is $70,000 - $75,000 year. The total compensation offered for this position includes salary and incentive pay and will vary based on skills, experience and location

Full Time / Part Time
Full time
Worker Type
Employee
Job Exempt (Yes / No)
No 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 an Invesco 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.

What's in it for you?
Our people are at the very core of our success and we strive to provide employees with a competitive total rewards package which includes:

Hybrid working environment

RRSP Contributions

Health & Wellness Benefits

Work flexibility Programs

Parental Leave Benefits

Study Support

The above information on this description has been designed to indicate the general nature and level of work performed by employees within this role. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities and qualifications required of employees assigned to this job. The job holder may be required to perform other duties as deemed appropriate by their manager from time to time.

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.

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📌 Senior Engineer Digital Distribution (Prince Edward Island)
🏢 Invesco
📍 Prince Edward Island