Quick Summary
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.
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.
About the Role
~1 min readYou 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
~1 min read- →
5-7 years of experience in data modeling, data warehousing, and big data architectures
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5-7 years of experience of Amazon cloud (AWS)– S3, RDS, Lambda, Glue, SNS, Terraform etc.
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5-7 years of experience in building data pipelines in tools using Apache Airflow, Airbyte
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Good understanding of ETL/ELT experience and good knowledge of SQL and query optimization techniques (ie DBT)
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3-5 years of experience with Snowflake, with Cortex AI and LLM prompt engineering a nice to have
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Strong experience with databases such as Snowflake Postgres, Aurora, Athena
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Strong programming experience with Python, Linux/bash scripting, Ansible
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Experience using GitHub, Bit Bucket, or other code repository solution
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Understanding and knowledge of Automated code Deployments CI/CD
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
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.
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 accessibility@invesco.ca or 1.800.874.6275 to let us know if you require accommodation for an interview due to a disability.
Location & Eligibility
Listing Details
- First seen
- September 30, 2026
- Last seen
- September 30, 2026
Posting Health
- Days active
- 0
- Repost count
- 0
- Trust Level
- 56%
- Scored at
- September 30, 2026
Signal breakdown
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