Invesco

2 months ago

Senior Engineer – Digital Distribution & Engagement

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 20 hours agoStatus: Live

Job Summary

Support advanced analytics initiatives and data integration for the North America Client Transactions & Data team. Design, build, and manage large-scale batch and real-time data pipelines using cloud-native data engineering practices. Partner with business and technical stakeholders across planning, design, testing, and rollout under Agile, ensuring data availability within SLAs while maintaining architecture documentation and production-grade automation using AWS and modern analytics tooling.

Location: Charlottetown

Workplace: Hybrid

Employment Type: Full time

Job Function: Supply Chain & Logistics

Seniority: Mid level

Key Responsibilities

•Manage application and data integration platforms using AWS Cloud components.
•Design and build robust data pipelines using modern data engineering practices in cloud-native architecture.
•Partner with business stakeholders to support the full lifecycle of development, reporting, and integration projects following Agile standards.
•Ensure data availability and enablement for business reporting and analytics within established SLAs.
•Create and maintain architecture documentation, data models, and design artifacts while developing production-grade code and automation to evolve analytical capabilities.

Pay and Benefits

Salary: 80,000 - 85,000 annually

Perks:Hybrid WorkingRrsp ContributionsHealth InsuranceParental LeaveLearning Budget

Key Requirements

•5–7 years of experience working in AWS, including S3, RDS, Lambda, Glue, SNS, and related components.
•3–5 years designing, building, and maintaining data pipelines using Apache Airflow.
•Strong ETL/ELT understanding with solid SQL expertise and query performance optimization.
•3–5 years working with Snowflake and 3–5 years hands-on experience in data modeling, data warehousing, and large-scale data architecture design.
•Strong programming skills in Python plus experience with source control (GitHub, Bitbucket) and CI/CD; 1–2 years integrating AI-driven tools/services into data workflows is a plus.

Experience:Financial/investment management

Education:Bachelor's in Computer Science, Applied Mathematics, Physics, Statistics or related data sciences/data mining

Skills:Analytical thinkingProblem-solvingCollaborationCommunicationLeadership

Tech Stack:AWSAmazon S3Amazon RDSAWS LambdaAWS GlueSNSApache AirflowETLELTSQLQuery performance optimizationSnowflakePythonData pipelinesData modelingData warehousingData architectureGitHubBitbucketCI/CD

Company Brief

Invesco

Global investment management firm offering mutual funds, ETFs, retirement solutions, and institutional asset management services. Serves individual investors, financial advisors, and institutions across public and alternative markets.

Industry: Asset Management

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Atlanta, United States

Founded: 1935

Website LinkedIn

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Invesco

2 months ago

Senior Engineer – Digital Distribution & Engagement

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 20 hours agoStatus: Live

Job Summary

Location: Charlottetown

Workplace: Hybrid

Employment Type: Full time

Job Function: Supply Chain & Logistics

Seniority: Mid level

Key Responsibilities

•Manage application and data integration platforms using AWS Cloud components.
•Design and build robust data pipelines using modern data engineering practices in cloud-native architecture.
•Partner with business stakeholders to support the full lifecycle of development, reporting, and integration projects following Agile standards.
•Ensure data availability and enablement for business reporting and analytics within established SLAs.
•Create and maintain architecture documentation, data models, and design artifacts while developing production-grade code and automation to evolve analytical capabilities.

Pay and Benefits

Salary: 80,000 - 85,000 annually

Perks:Hybrid WorkingRrsp ContributionsHealth InsuranceParental LeaveLearning Budget

Key Requirements

•5–7 years of experience working in AWS, including S3, RDS, Lambda, Glue, SNS, and related components.
•3–5 years designing, building, and maintaining data pipelines using Apache Airflow.
•Strong ETL/ELT understanding with solid SQL expertise and query performance optimization.
•3–5 years working with Snowflake and 3–5 years hands-on experience in data modeling, data warehousing, and large-scale data architecture design.
•Strong programming skills in Python plus experience with source control (GitHub, Bitbucket) and CI/CD; 1–2 years integrating AI-driven tools/services into data workflows is a plus.

Experience:Financial/investment management

Education:Bachelor's in Computer Science, Applied Mathematics, Physics, Statistics or related data sciences/data mining

Skills:Analytical thinkingProblem-solvingCollaborationCommunicationLeadership

Company Brief

Invesco

Industry: Asset Management

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Atlanta, United States

Founded: 1935

Website LinkedIn