Data Engineer

Infotek Consulting Inc.; Toronto; On-site; CAD 117,000 - 138,000; Full time

Job summary

Infotek Consulting Inc. in Toronto is seeking a Senior Data Engineer to support development and expansion of enterprise data products within a Snowflake-based environment. You will contribute to data platform strategy, engineering standards, cloud technologies, and scalable data solutions.

The role requires strong hands-on Snowflake expertise, capital markets experience, and excellent communication. You will work with cross-functional teams to deliver data-as-a-product initiatives and drive

Qualifications

• 6+ years of professional experience in data engineering or technology environments with enterprise-scale initiatives.
• 4+ years of hands-on experience developing data platforms, applications, and pipelines using cloud technologies.
• Strong understanding of modern data engineering, analytics architectures, databases, and cloud platforms (AWS/Azure/GCP).
• 2+ years in Asset Management, Capital Markets, Investment Management, or similar financial services environment.
• Strong Snowflake experience and modern data warehouse knowledge.
• Hands-on ETL development with Informatica/PowerCenter, PL/SQL, SQL Server, and database performance optimization.
• Experience designing and supporting data ingestion and transformation workflows.
• Strong programming capabilities in Python, Java, Scala, and SQL.
• Knowledge of AWS services and cloud-native data technologies (S3, EC2, EKS, Glue, SageMaker, Athena, Redshift).
• Experience with API development, integration solutions, and microservices architectures.
• Bachelor's or Master's degree in CS/Engineering or related field.
• Strong communication, stakeholder management, negotiation, and influencing abilities.
• Proven ability to balance priorities, drive change, and deliver measurable outcomes.

Responsibilities

• Provide technical leadership and mentorship to data, cloud, and software engineers.
• Collaborate with leadership to set engineering direction, architecture, and technology strategies.
• Assess and implement integrations supporting data discovery, accessibility, and data-as-a-product initiatives.
• Partner with platform and technology teams to evaluate and introduce tools for current and future needs.
• Promote shared development practices and reusable solutions across enterprise teams.
• Work with delivery leads to prioritize initiatives, manage the technical backlog, and report progress.
• Establish and enhance DevOps practices to improve deployment efficiency and developer experience.
• Design and implement scalable data pipelines, platforms, data lakes, and data warehouses.
• Contribute to cloud-based data architectures and applications.

Skills

Snowflake

Data engineering

Capital Markets

Communication

Team collaboration

Education

Bachelor's or Master's in Computer Science/Engineering

Tools

Informatica/PowerCenter

PL/SQL

SQL Server

Python

Java

Scala

SQL

AWS

S3

EC2

EKS

Glue

SageMaker

Athena

Redshift

Job description

Rate: $85-100/hour/hour incorporated

Must-Have Requirements

• Strong hands-on Snowflake and Data Engineering experience


• Previous experience in Capital Markets, Asset Management, or Investment Management


• Excellent communication and collaboration skills


• Strong team-oriented approach

Role Overview

Our client is seeking a Senior Data Engineer to support the development and expansion of enterprise data products within a modern Snowflake-based environment. The successful candidate will contribute to data platform strategy, engineering standards, cloud technologies, and the delivery of scalable data solutions.

Key Responsibilities

• Provide technical leadership, mentorship, and guidance to data, cloud, and software engineering professionals.


• Collaborate with technical leadership to establish engineering direction, architecture, and technology strategies.


• Assess and implement integrations that support enterprise data discovery, accessibility, and data-as-a-product initiatives.


• Partner with platform and technology teams to evaluate and introduce tools that address both immediate and long-term data engineering requirements.


• Work collaboratively with enterprise technology teams to promote shared development practices and reusable solutions.


• Partner with program and delivery leads to prioritize initiatives, maintain the team's technical backlog, and communicate progress on key deliverables.


• Establish and enhance DevOps practices that improve engineering efficiency, deployment processes, and overall developer experience.


• Design and implement scalable data pipelines, data platforms, data lakes, and data warehouse solutions.


• Contribute to the development and optimization of cloud-based data architectures and applications.

Required Qualifications

• 6+ years of professional experience in data engineering or technology environments, including delivery of complex, enterprise-scale initiatives.


• 4+ years of hands-on experience developing data platforms, applications, and pipelines using cloud technologies.


• Strong understanding of modern data engineering, analytics architectures, databases, and cloud platforms such as AWS, Azure, or GCP.


• 2+ years of experience within Asset Management, Capital Markets, Investment Management, or a closely related financial services environment.


• Strong experience with Snowflake and modern data warehouse technologies.


• Hands-on experience with ETL development, including Informatica/PowerCenter, PL/SQL, SQL Server, and database performance optimization.


• Experience designing and supporting data ingestion and transformation workflows.


• Strong programming capabilities using technologies such as Python, Java, Scala, and SQL.


• Solid knowledge of AWS services and cloud-native data technologies, including services such as S3, EC2, EKS, Glue, SageMaker, Athena, and Redshift.


• Experience with API development, integration solutions, and microservices architectures.


• Bachelor's or Master's degree in Computer Science, Engineering, or a related technical discipline.


• Strong communication, stakeholder management, negotiation, and influencing abilities.


• Demonstrated ability to make sound technical decisions, manage competing priorities, drive change, and deliver measurable outcomes.

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