About the role
We are seeking a skilled Data Engineer to join our Engineering team. In this role, you will design, build, and maintain scalable data pipelines and platforms that support business intelligence, analytics, and AI-powered applications. You will work closely with software engineers, product teams, and business stakeholders to deliver reliable, high-quality data solutions while contributing to the evolution of our enterprise data architecture.
Key Responsibilities
Design, develop, and maintain scalable ETL/ELT pipelines using Python. Build and optimize enterprise data lakes, warehouses, and lakehouse solutions. Develop data pipelines that support analytics, AI/ML, vector databases, and Retrieval-Augmented Generation (RAG) applications. Implement data quality, validation, lineage, and governance processes. Optimize data storage, processing, and cloud infrastructure for performance and cost efficiency. Collaborate with cross-functional teams to deliver scalable data solutions. Leverage AI-assisted development tools to improve engineering productivity and code quality.
Qualifications
Bachelor's degree in Computer Science, Software Engineering, Data Engineering, or a related discipline. 5+ years of experience designing and supporting production data pipelines. Strong proficiency in Python and SQL. Experience with modern data platforms such as Snowflake, Databricks, or Microsoft Fabric. Experience with cloud platforms including Azure, AWS, or Google Cloud Platform. Hands-on experience with workflow orchestration tools such as Apache Airflow or Azure Data Factory. Solid understanding of data modeling, governance, and data quality best practices.
Preferred Qualifications
Experience with Docker, Kubernetes, and Infrastructure as Code. Experience building data solutions for AI, machine learning, or Generative AI applications, including vector databases and RAG architectures. Familiarity with AI-powered software development tools and modern engineering practices.
Not the right fit? Search for Data Engineer jobs in Toronto, Ontario, Canada
About Agam Capital
Agam Capital is an insurance solutions provider that differentiates itself by taking a risk-focused approach to dynamic management of liabilities.
Agam was founded by former senior executives from Apollo Global Management and Aflac Inc. While traditional reinsurance solutions have aimed at enhancing asset yield to support a liability structure, Agam has focused its efforts on risk management and integrated analytics, which reduces the need to move further up the risk curve. It has developed a sophisticated, fully integrated Proprietary Asset-Liability model (pALM), which is the cornerstone to its Enterprise-wide Risk Management (ERM) framework. pALM enables insurers and reinsurers to manage its liabilities, assets and capital in a fashion that meets guidelines set by National Association of Insurance Commissioners (NAIC), European Insurance and Occupational Pensions Authority’s (EIOPA) Solvency II directive or Bermuda Monetary Authority’s (BMA) Solvency II Equivalence.
Agam’s senior team has over 100 years of combined expertise in the field of insurance, asset management and risk management.
Similar Jobs
About the role
We are seeking a skilled Data Engineer to join our Engineering team. In this role, you will design, build, and maintain scalable data pipelines and platforms that support business intelligence, analytics, and AI-powered applications. You will work closely with software engineers, product teams, and business stakeholders to deliver reliable, high-quality data solutions while contributing to the evolution of our enterprise data architecture.
Key Responsibilities
Design, develop, and maintain scalable ETL/ELT pipelines using Python. Build and optimize enterprise data lakes, warehouses, and lakehouse solutions. Develop data pipelines that support analytics, AI/ML, vector databases, and Retrieval-Augmented Generation (RAG) applications. Implement data quality, validation, lineage, and governance processes. Optimize data storage, processing, and cloud infrastructure for performance and cost efficiency. Collaborate with cross-functional teams to deliver scalable data solutions. Leverage AI-assisted development tools to improve engineering productivity and code quality.
Qualifications
Bachelor's degree in Computer Science, Software Engineering, Data Engineering, or a related discipline. 5+ years of experience designing and supporting production data pipelines. Strong proficiency in Python and SQL. Experience with modern data platforms such as Snowflake, Databricks, or Microsoft Fabric. Experience with cloud platforms including Azure, AWS, or Google Cloud Platform. Hands-on experience with workflow orchestration tools such as Apache Airflow or Azure Data Factory. Solid understanding of data modeling, governance, and data quality best practices.
Preferred Qualifications
Experience with Docker, Kubernetes, and Infrastructure as Code. Experience building data solutions for AI, machine learning, or Generative AI applications, including vector databases and RAG architectures. Familiarity with AI-powered software development tools and modern engineering practices.
Not the right fit? Search for Data Engineer jobs in Toronto, Ontario, Canada
About Agam Capital
Agam Capital is an insurance solutions provider that differentiates itself by taking a risk-focused approach to dynamic management of liabilities.
Agam was founded by former senior executives from Apollo Global Management and Aflac Inc. While traditional reinsurance solutions have aimed at enhancing asset yield to support a liability structure, Agam has focused its efforts on risk management and integrated analytics, which reduces the need to move further up the risk curve. It has developed a sophisticated, fully integrated Proprietary Asset-Liability model (pALM), which is the cornerstone to its Enterprise-wide Risk Management (ERM) framework. pALM enables insurers and reinsurers to manage its liabilities, assets and capital in a fashion that meets guidelines set by National Association of Insurance Commissioners (NAIC), European Insurance and Occupational Pensions Authority’s (EIOPA) Solvency II directive or Bermuda Monetary Authority’s (BMA) Solvency II Equivalence.
Agam’s senior team has over 100 years of combined expertise in the field of insurance, asset management and risk management.