Data Engineer

Insight Global; Toronto; On-site; CAD 117,000 - 123,000; Full time

Job summary

Insight Global is seeking a Data Engineer to support a large enterprise transformation in Toronto. The role focuses on building data pipelines, integrating data, and migrating workloads from on-prem to AWS.

Strong Python/SQL skills and AWS migration experience are required, with ML/MLOps exposure being a plus. You will design, migrate, and optimize pipelines, partner with business stakeholders, and ensure production readiness in a enterprise environment.

Qualifications

• 3+ years of Data Engineering experience.
• Hands-on experience developing and migrating data pipelines.
• Proven experience migrating data/workloads from on-premises environments to AWS.
• Strong hands-on experience working within the AWS ecosystem.
• Experience integrating and transforming data from multiple sources.
• Strong communication and stakeholder-management skills.
• Consultative capacity, working directly with the business.
• Experience working within a large enterprise environment.

Responsibilities

• Design, develop, and maintain data pipelines.
• Migrate existing data pipelines and workloads from on-premises infrastructure to AWS.
• Gather, integrate, transform, and prepare data from multiple sources.
• Use Python and SQL extensively for data development and manipulation.
• Support integration of data into existing enterprise platforms and applications.
• Partner with business and technical stakeholders to understand requirements and translate them into technical solutions.
• Support ML/MLOps integration into production environments where applicable.
• Work within an enterprise environment supporting business-critical applications and workflows.
• Communicate technical concepts clearly to both technical and non-technical stakeholders.

Skills

Advanced SQL

Data Engineering

Python

AWS

Data Migration

Stakeholder comms

Job description

Duration: 12 month contract + possible extensions

Data Engineer to support a large enterprise transformation focused on building data pipelines, integrating data, and migrating data workloads from on-premises environments to AWS.

This person should be technically strong in Python and SQL, have hands-on AWS migration experience, and be comfortable partnering directly with business stakeholders. Experience with Machine Learning and MLOps is a strong plus, particularly supporting models through integration and production environments.

Key Responsibilities

• Design, develop, and maintain data pipelines.
• Migrate existing data pipelines and workloads from on-premises infrastructure to AWS.
• Gather, integrate, transform, and prepare data from multiple sources.
• Use Python and SQL extensively for data development and manipulation.
• Support integration of data into existing enterprise platforms and applications.
• Partner with business and technical stakeholders to understand requirements and translate them into technical solutions.
• Support ML/MLOps integration into production environments where applicable.
• Work within an enterprise environment supporting business-critical applications and workflows.
• Communicate technical concepts clearly to both technical and non-technical stakeholders.

Must-Have Skills

• Advanced SQL skills.
• 3+ years of Data Engineering experience
• Hands-on experience developing and migrating data pipelines.
• Proven experience migrating data/workloads from on-premises environments to AWS.
• Strong hands-on experience working within the AWS ecosystem.
• Experience integrating and transforming data from multiple sources.
• Strong communication and stakeholder-management skills.
• Ability to operate in a consultative capacity, working directly with the business.
• Experience working within a large enterprise environment.

*Artificial intelligence tools are used to assist in screening and assessing applicants for this position.

*Pay range for this role is between $85-89/hr CAD.

*This role is an existing vacancy.

*No requirement for Canadian experience or education.