Full-Stack Engineer, SAP APM, Data Engineering

Posted 2 months ago

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About the role

  • Enterprise Agent Performance Management Engineer responsible for configuring SAP components for insurance firm. Collaborating with multiple teams and utilizing data engineering skills for project success.

Responsibilities

  • Configure SAP Agent Performance Management components including compensation rules, crediting logic, hierarchies, rate tables, workflows, and user access roles.
  • Support SAP APM calculation cycles, simulations, troubleshooting, and payout validation.
  • Build automated extracts, interfaces, and batch feeds from SAP APM to downstream systems.
  • Develop formatted operational and regulatory reports using Power BI, Tableau, SAC, SSRS, or Crystal Reports.
  • Design and maintain ETL/ELT pipelines for SAP APM outputs using ADF, Informatica, or similar tools.
  • Create secure and reliable outbound data delivery via APIs, SFTP, or managed file transfer platforms.
  • Implement data validation, reconciliation checks, and quality controls for all feeds and reports.
  • Maintain clear lineage from SAP APM to downstream outputs with full audit readiness.
  • Optimize extraction logic for performance, reliability, and scalability.
  • Build and manage scheduling, monitoring, and alerting for APM-related data pipelines.
  • Collaborate closely with Compensation, Finance, Actuarial, Distribution, and Operations to translate business needs into APM configuration and data delivery solutions.
  • Document APM configuration changes, feed specifications, mappings, and technical/data definitions.

Requirements

  • Bachelor’s degree in computer science, Engineering, Information Systems, or equivalent experience
  • 3–7 years of experience with SAP APM or SAP Commissions/Sales Performance Management or Callidus Cloud
  • Hands-on experience configuring compensation rules, hierarchies, rate tables, workflows, and effective-dated structures in SAP/Callidus Commissions/Sales Performance Management
  • Strong SQL skills and understanding of data warehousing and data model design
  • Experience developing extracts and outbound feeds (CSV, TSV, XML, JSON etc.) via APIs, SFTP, or batch frameworks
  • Practical experience with ETL/ELT platforms such as Informatica, ADF
  • Experience producing formatted reports using Power BI, SAC, Tableau, SSRS, or Crystal Reports
  • Strong data validation and reconciliation skills with high attention to accuracy
  • Familiarity with scheduling/orchestration tools
  • Strong communication skills and ability to work cross-functionally with business teams

Benefits

  • health insurance
  • dental coverage
  • mental health benefits
  • vision insurance
  • short- and long-term disability
  • life and AD&D insurance coverage
  • adoption/surrogacy and wellness benefits
  • employee/family assistance plans
  • retirement savings plans (including pension and a global share ownership plan with employer matching contributions)
  • financial education and counseling resources
  • generous paid time off program including holidays, vacation, personal, and sick days

Job title

Job type

Full Time

Experience level

Mid levelSenior

Salary

CA$86,100 - CA$136,100 per year

Degree requirement

Bachelor's Degree

Tech skills

CloudETLInformaticaSQLTableau

Location requirements

HybridTorontoCanada

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