Welcome to Sagicor
Sagicor is a leading financial services provider with over 180 years of history, which operates across the Caribbean, in the United States and Canada.
Sagicor currently operates in 19 countries and maintains a strong market position in most of the markets where it operates. Sagicor has four reporting operating segments, Sagicor Life, Sagicor Jamaica, Sagicor Life USA and Sagicor Canada. For the last 12 months ending September 30, 2024, revenues were US$3.9 billion with assets under management of US$23 billion.
Sagicor’s objective is to be a leading insurance and financial services provider of world class products and services to better serve its customers and other stakeholders in its markets. Sagicor is focused on growing its business in the markets in which we operate and actively supporting the communities in which we serve.
Here’s the job opportunity…
We are seeking a Data Engineer – Cloud Platform to contribute hands-on to the delivery and operation of Sagicor’s Azure-based enterprise data platform. The role focuses on building, operating, and supporting data pipelines and platform components within established architectural standards and governance frameworks. Reporting to the Principal Engineer, Data & AI Platforms, this role will be based in one of our Toronto offices on a hybrid basis. This role is well-suited to a mid-level data engineer looking to deepen hands-on experience in cloud data platforms within an enterprise environment.
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Design, build, and operate data ingestion and transformation pipelines on Microsoft Azure.
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Support and maintain enterprise data lake, warehouse, and lakehouse solutions using Azure services.
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Monitor data pipelines, troubleshoot issues, and support production incidents.
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Participate in operational support activities, including scheduled monitoring, incident response, and pipeline health reviews.
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Develop analytics-ready datasets for reporting, regulatory, and analytics use cases.
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Apply data quality checks, access controls, and governance requirements.
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Collaborate with senior engineers, analysts, and business teams to understand data and reporting requirements.
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Contribute to CI/CD pipelines and Infrastructure-as-Code practices.
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Support AI and machine learning initiatives through data preparation and pipeline enablement.
Qualifications
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Bachelor’s degree in Computer Science, Information Systems, or a related field.
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2–4 years of hands‑on experience in data engineering or analytics platform roles.
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Strong SQL and Python skills.
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Experience with Azure Data Factory or Synapse Pipelines.
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Hands-on experience with Azure Data Lake Storage.
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Experience using Azure Synapse Analytics.
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Experience with Azure Databricks / Apache Spark.
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Understanding of data modeling concepts and analytics-oriented schemas.
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Experience with version control (Git) and CI/CD concepts.
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Work experience with data integration technologies such as SQL Server Integration Services (SSIS) and BizTalk.
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Familiar with consuming and integrating RESTful APIs.
At Sagicor, it's important for us to keep our people motivated, recognized and rewarded. We offer competitive base, one of the many reasons Sagicor is a great place to work.
When you join the Sagicor team you also get…
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Flexible and hybrid work arrangements
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Opportunities for professional development
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Recognition programs to cheer you on, motivate and reward
A Human Resources representative is available to consult with applicants who require accommodation in the application or recruitment process. Any information shared by the applicant about an accommodation will be treated as confidential. If you do require an accommodation, please email [email protected].
