Senior Engineer – Digital Distribution & Engagement

invesco; Charlottetown; Hybrid; CAD 80,000 - 85,000; Full time

Benefits offered by this job

Hybrid working environment

RRSP Contributions

Health & Wellness Benefits

Work flexibility Programs

Parental Leave Benefits

Study Support

Job summary

Invesco in Charlottetown is seeking a Senior Engineer for Digital Distribution & Engagement to design and manage large-scale data pipelines and analytics. You will work with Business Owners, Product Owners, and Developers to deliver data products, insights, and automation in a cloud-first environment.

The role requires strong Python programming, SQL skills, and experience with AWS, Airflow, and Snowflake. A collaborative, Agile mindset is essential in a finance-focused team.

Qualifications

• 5–7 years of experience in AWS including S3, RDS, Lambda, Glue, SNS
• 3–5 years designing, building, and maintaining data pipelines using Apache Airflow
• Strong understanding of ETL/ELT patterns, SQL, and query performance
• 3–5 years of experience with Snowflake
• Strong programming skills in Python for data processing and automation
• Experience with source control and CI/CD for data and analytics workloads
• 1-2 years integrating AI-driven tools into data workflows is a plus
• 3–5 years in data modeling, data warehousing, and large-scale data architecture design
• Familiarity with Agile Methodologies and financial/investment management industry

Responsibilities

• Managing application and data integration platforms using AWS Cloud components
• Designing and building robust data pipelines in a cloud-native architecture
• Partnering with business stakeholders to understand requirements and support full lifecycle of development, reporting, and integration projects
• Ensuring data availability and enablement for business reporting and analytics within SLAs
• Creating and maintaining architecture documentation, data models, and design artifacts
• Developing and maintaining production-grade code and automation for data-driven analytics
• Identifying and implementing innovative solutions to improve operational efficiency and pipeline reliability
• Communicating technical requirements for data ingestion, validation, scheduling, and delivery

Skills

AWS

Python

SQL

Airflow

Snowflake

GitHub

CI/CD

Data modeling

Agile

Problem solving

Education

BS in Computer Science, Applied Mathematics, Physics, Statistics

Tools

Airflow

Snowflake

AWS

GitHub

Bitbucket

CI/CD

Job 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 solution.

Responsibilities of the Role:

• 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 innovative 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 of the Role:

• 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 processed

Education Required

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

Sr. Engineer, Digital Dist & Ent Engagement

The salary range for this position in Charlottetown is $80,000 - $85,000 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

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 [e-mail] or 1.800.874.6275 to let us know if you require accommodation for an interview due to a disability.