Senior Engineer Digital Distribution at Invesco Ltd.

Charlottetown, Prince Edward Island, Canada -

Full Time

Start Date

Immediate

Expiry Date

18 Sep, 26

Salary

75000.0

Posted On

20 Jun, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

AWS, Python, Snowflake, Apache Airflow, SQL, Data Modeling, ETL/ELT, Terraform, CI/CD, Data Warehousing, Big Data Architecture, Linux/Bash Scripting, Ansible, GitHub, DBT, Airbyte

Industry

Financial Services

Description

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 Good understanding of ETL/ELT experience and good 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 accessibility@invesco.ca or 1.800.874.6275 to let us know if you require accommodation for an interview due to a disability. 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.

Responsibilities

Design, build, and manage large-scale batch and real-time data pipelines using AWS Cloud components and modern data engineering practices. Collaborate with business and product owners to enable data availability for reporting and analytics within established SLAs.