Senior Digital Distribution Engineer

Invesco Ltd — Canada · Posted ~4 hours ago

Senior

Skills

software engineering data integration advanced analytics client data management data engineering AWS Data Integration Advanced Analytics Data Engineering

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Summary ✨ AI‑Generated

A senior engineering opportunity within a global financial-services environment, focused on advanced analytics and data integration. The role contributes to centralized client data capabilities, predictable data delivery, engineering standards, and initiatives that help business partners respond quickly to changing requirements.

Highlights

Senior engineering role involving advanced analytics, data integration, client data products, and standardized engineering practices within a global financial-services environment.

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 ComponentsBuilding robust data pipeline using modern data engineering practice in a Cloud architectureUnderstand the business and enable the full life cycle of development/ reporting/ integration projects: planning, design, develop, testing and rollout that confirms to Agile StandardsResponsible for Data availability /enablement for business reporting and analytics within the SLACreate and manage data, applications and technology architecture documentation and design artifactsHelp maintain the code and capability environment required to evolve data-driven, analytical capabilities with the end goal of understanding customer behavior and competitive dynamicsStrong experience with writing complex programs, implementing architectures, and enabling automation in these environmentsCommunicate 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 architectures5-7 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, AirbyteGood 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 haveStrong experience with databases such as Snowflake Postgres, Aurora, AthenaStrong programming experience with Python, Linux/bash scripting, AnsibleExperience using GitHub, Bit Bucket, or other code repository solutionUnderstanding 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.