Sr. Data Engineer - 54309
Apply NowCompany: Annex Consulting Group
Location: Toronto, ON M4E 3Y1
Description:
Business Unit: 4 - FCRM Transformation Delivery and Enablement (S_1015234)
Duration: Until the 31st of October 2025
Extension possible: Possibly
Interview Process: 1 round, 2 as needed
Work Location: Hybrid, onsite twice a week.
CANDIDATE PROFILE DETAILS:
Years of experience: 7+ years
Reason for request/why opened: Net new role
% Interaction with Stakeholders: Vast majority of the time
Team Size: Medium scale team
Project: Multiple project assignment
How will performance be measured: Deliverables and deadlines being met, etc
SUMMARY OF DAY-TO-DAY RESPONSIBILITIES:
Perform data analysis using SQL, identify critical data elements, propose data quality rules and document data management requirements.
Self-starter who is able to lead meetings independently with data and technology stakeholders to understand the upstream data sources, SQL codes written by others and data lineage documents of upstream data sources and their metadata.
Articulate complex, large scale, and high impact technical design and development details to non-technical business partners.
Excellent convincing skills and problem-solving skills; possess a growth mindset.
Elicit, analyze, and understand business and data requirements to develop complete business solutions, including data models (entity relationship diagrams, dimensional data models), ETL and business rules, data life-cycle management, governance, lineage, and metadata.
Ensure data is maintained in compliance with enterprise data standards, policies, and guidelines.
Provide support to the development and testing teams to resolve data issues, including escalation support on complex issues.
Support partners and stakeholders in interpreting and analyzing data.
Build effective working relationships with data and technology teams to encourage collaboration.
Support the QA team with data analysis/investigations of complex issues/ test cases as part of SIT/UAT/PAT testing.
Provide oversight on post implementation activities.
Execute code check-in/ check-out into source code repository as part of source code management.
Work closely with technology team to support code packaging & deployment into higher environments.
Lead the meetings with stakeholders to understand data lineage and document the requirements for technology.
MUST HAVE:
Data application experience
SQL experience
MS Office Suite
Excellent communication skills
Data Engineering experience
Technology team experience
Debugging experience
Testing experience
Coding experience
NICE TO HAVE
Banking experience
AML experience
Oracle experience
Regulatory experience
Risk experience.
Duration: Until the 31st of October 2025
Extension possible: Possibly
Interview Process: 1 round, 2 as needed
Work Location: Hybrid, onsite twice a week.
CANDIDATE PROFILE DETAILS:
Years of experience: 7+ years
Reason for request/why opened: Net new role
% Interaction with Stakeholders: Vast majority of the time
Team Size: Medium scale team
Project: Multiple project assignment
How will performance be measured: Deliverables and deadlines being met, etc
SUMMARY OF DAY-TO-DAY RESPONSIBILITIES:
Perform data analysis using SQL, identify critical data elements, propose data quality rules and document data management requirements.
Self-starter who is able to lead meetings independently with data and technology stakeholders to understand the upstream data sources, SQL codes written by others and data lineage documents of upstream data sources and their metadata.
Articulate complex, large scale, and high impact technical design and development details to non-technical business partners.
Excellent convincing skills and problem-solving skills; possess a growth mindset.
Elicit, analyze, and understand business and data requirements to develop complete business solutions, including data models (entity relationship diagrams, dimensional data models), ETL and business rules, data life-cycle management, governance, lineage, and metadata.
Ensure data is maintained in compliance with enterprise data standards, policies, and guidelines.
Provide support to the development and testing teams to resolve data issues, including escalation support on complex issues.
Support partners and stakeholders in interpreting and analyzing data.
Build effective working relationships with data and technology teams to encourage collaboration.
Support the QA team with data analysis/investigations of complex issues/ test cases as part of SIT/UAT/PAT testing.
Provide oversight on post implementation activities.
Execute code check-in/ check-out into source code repository as part of source code management.
Work closely with technology team to support code packaging & deployment into higher environments.
Lead the meetings with stakeholders to understand data lineage and document the requirements for technology.
MUST HAVE:
Data application experience
SQL experience
MS Office Suite
Excellent communication skills
Data Engineering experience
Technology team experience
Debugging experience
Testing experience
Coding experience
NICE TO HAVE
Banking experience
AML experience
Oracle experience
Regulatory experience
Risk experience.