[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"job-senior-engineer-digital-distribution-amp-engagement-canada-ltd-en-ca":3},{"id":4,"slug":5,"title":6,"description":7,"company":8,"is_featured":11,"featured_until":7,"is_active":12,"deactivated_at":7,"is_enriched":12,"processed_job_posting_json":13,"processed_latitude":58,"processed_longitude":60,"processed_employment_types":62,"processed_working_hours":63,"processed_working_hours_labels":65,"processed_home_office":66,"processed_salary_min":54,"processed_salary_max":55,"processed_salary_currency":51,"processed_salary_source":67,"processed_benefits":68,"processed_benefits_labels":75,"processed_industry":76,"processed_skills":7,"processed_job_location":77,"processed_full_address_gmaps":79,"processed_street_gmaps":81,"processed_city_gmaps":83,"processed_postal_code_gmaps":85,"processed_country_gmaps":87,"processed_country_iso_code_gmaps":89,"full_description":17,"formatted_description":91,"processed_employment_types_labels":24,"processed_home_office_labels":22,"processed_industry_labels":26,"processed_it_skills":92,"processed_it_skills_labels":96,"processed_soft_skills":97,"processed_soft_skills_labels":98,"processed_job_expertise_skills":99,"processed_job_expertise_skills_labels":100,"processed_language_requirements":101,"processed_total_experience_years":108,"processed_professional_field":109,"processed_professional_field_labels":112,"processed_leadership_role":11,"processed_date_posted":21,"raw_job_url":113,"apply_url":7,"raw_hiringOrganization_logo_url":7,"translations":7,"canonical_industry_key":114,"canonical_industry_label":115,"max_cpc":116,"actual_cpc":7},47458,"senior-engineer-digital-distribution-amp-engagement-canada-ltd","Senior Engineer – Digital Distribution & Engagement",null,{"name":9,"slug":10,"logo_url":7},"Invesco Canada Ltd.","invesco-canada-ltd",false,true,{"@context":14,"@type":15,"title":16,"description":17,"hiringOrganization":18,"datePosted":21,"jobLocationType":22,"employmentType":23,"industry":25,"skills":27,"baseSalary":49,"validThrough":57},"https:\u002F\u002Fschema.org\u002F","JobPosting","Senior Engineer – Digital Distribution & Engagement","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\u002FELT 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\u002FCD 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\u002F 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 \u002F Part Time Full time Worker Type Employee Job Exempt (Yes \u002F 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.",{"@type":19,"name":20},"Organization","2530 Invesco Canada Ltd.","2026-05-19","HYBRID",[24],"PERMANENT",[26],"Investment Management",[28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48],"AWS","Apache Airflow","SQL","Python","Snowflake","GitHub","Bitbucket","CI\u002FCD","AI tools","Communication","Problem Solving","Collaboration","Agility","Leadership","Data Engineering","Data Modeling","Data Warehousing","ETL\u002FELT","Architecture Documentation","Agile Methodologies","Financial Industry Knowledge",{"@type":50,"currency":51,"value":52},"MonetaryAmount","CAD",{"@type":53,"minValue":54,"maxValue":55,"unitText":56},"QuantitativeValue",80000,85000,"YEAR","2027-05-19",[59,59],46.2377891,[61,61],-63.1306762,"permanent",[64],"FULL_TIME",[64],"hybrid","estimated",[69,70,71,72,73,74],"Hybrid working environment","RRSP Contributions","Health & Wellness Benefits","Work flexibility Programs","Parental Leave Benefits","Study Support",[69,70,71,72,73,74],"investment management",[78],"invesco, charlottetown, canada",[80],"119 Euston St, Charlottetown, PE C1A 1W3, Kanada",[82],"Euston Street 119",[84],"Charlottetown",[86],"C1A 1W3",[88],"Kanada",[90],"CA","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.\n\n## Job Description\n\n**About the Team:**  \nThe 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.\n\n**About the Role:**  \nYou 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.\n\n**Responsibilities of the Role:**  \n- Managing application and data integration platforms using AWS Cloud components  \n- Designing and building robust data pipelines using modern data engineering practices in a cloud-native architecture  \n- 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  \n- Ensuring data availability and enablement for business reporting and analytics within established SLAs  \n- Creating and maintaining architecture documentation, data models, and design artifacts  \n- Developing and maintaining production-grade code and automation to evolve data-driven, analytical capabilities — with a focus on understanding customer behavior and competitive dynamics  \n- Identifying and implementing innovative solutions and best practices to improve operational efficiency and pipeline reliability  \n- Communicating across business areas to formulate technical requirements for data ingestion, validation, scheduling, and delivery  \n\n**Requirements of the Role:**  \n- 5–7 years of experience working in AWS, including services such as S3, RDS, Lambda, Glue, SNS, and related components  \n- 3-5 years of experience designing, building, and maintaining data pipelines using Apache Airflow  \n- Strong understanding of ETL\u002FELT patterns, with solid expertise in SQL and query performance optimization  \n- 3–5 years of experience working with Snowflake  \n- Strong programming skills in Python for data processing, automation, and pipeline development  \n- Experience with source control and collaboration tools (e.g., GitHub, Bitbucket) and CI\u002FCD practices for automated deployment of data and analytics workloads  \n- 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.  \n- 3–5 years of hands-on experience in data modeling, data warehousing, and large-scale data architecture design  \n- Business Acumen  \n- Familiarity with Agile Methodologies.  \n- Financial\u002F Investment Management industry experience  \n- Problem Solving  \n- Comfortable working with ambiguity (e.g. imperfect data, loosely defined concepts, ideas, or goals) and translating these into more tangible outputs  \n- Leadership  \n- Typically, no supervisory responsibilities but may provide informal guidance to new Team members  \n- Leads projects and processed  \n\n**Education Required**  \nBS in Computer Science, Applied Mathematics, Physics, Statistics or area of study related to data sciences and data mining or relevant experience\n\nSr. Engineer, Digital Dist & Ent Engagement\n\nThe 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\n\nFull Time \u002F Part Time  \nFull time\n\nWorker Type  \nEmployee\n\nJob Exempt (Yes \u002F No)  \nNo\n\nWorkplace Model  \nPursuant 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.\n\n**What’s in it for you?**  \nOur people are at the very core of our success and we strive to provide employees with a competitive total rewards package which includes:  \n- Hybrid working environment  \n- RRSP Contributions  \n- Health & Wellness Benefits  \n- Work flexibility Programs  \n- Parental Leave Benefits  \n- Study Support  \n\nThe 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.\n\nInvesco 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.\n\nAs 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.",{"aws":93,"sql":93,"ci\u002Fcd":94,"github":94,"python":93,"ai tools":95,"bitbucket":94,"snowflake":93,"apache airflow":93},4,3,2,[28,29,30,31,32,33,34,35,36],{"communication":93,"problem solving":93,"collaboration":93,"agility":94,"leadership":95},[37,38,39,40,41],{"etl\u002Felt":93,"data modeling":93,"data engineering":93,"data warehousing":93,"agile methodologies":94,"architecture documentation":94,"financial industry knowledge":94},[42,43,44,45,46,47,48],{"detected_language_jobad":102,"required":103},"en",[104],[105],{"language":106,"level":107},"ENGLISH","C1",7,[110,111],"Software and applications developers and analysts","Database and network professionals",[110,111],"https:\u002F\u002Finvesco.wd1.myworkdayjobs.com\u002Fen-us\u002Fivz\u002Fjob\u002Fcharlottetown-prince-edward-island\u002Fadv--analyst--invest-tech_r-12914","asset management","Asset Management",1]