Data Engineer

Graebel Companies, Inc.; Toronto; Hybrid; CAD 145,000 - 165,000; Full time

Job summary

Graebel Companies, Inc. in the Greater Toronto Area is seeking a Data Engineer to design and implement data pipelines that consolidate data from multiple sources, enabling robust analysis and informed decisions across client projects.

The role emphasizes Azure Databricks, Python, SQL, and AI-ready data solutions, with transparent CAD salary bands. You will collaborate with cross-functional teams to deliver scalable data platforms and drive data-driven insights.

Qualifications

• 5+ years of data engineering experience in enterprise settings.
• 4+ years of hands-on Azure Databricks experience.
• Experience with AI-ready data solutions for analytics and ML.
• Strong Python and SQL (T-SQL/ANSI SQL) skills.
• Proficient in Agile and DevOps practices.

Responsibilities

• Design and implement data pipelines from diverse sources.
• Enable routine and ad-hoc data analysis with accessible data.
• Collaborate with clients to deliver data design services.
• Establish metrics and monitoring for data platforms.
• Promote best practices for data modeling and reporting.
• Leverage AI to accelerate data initiatives.
• Provide guidance to peers and decision-makers.

Skills

Data engineering

Azure Databricks

Python

T-SQL / ANSI SQL

Git

Agile

AI-ready data solutions

Data governance

Tools

Azure Databricks

Git

SQL tooling

Python

Job description

This role is based remotely in the Greater Toronto Area, Canada.

Are you ready to open a world of opportunity in talent mobility? Our clients include some of the largest and most recognized brands in the world. They’re innovators and leaders in their industries, making life-enhancing breakthroughs every day. We help them tap into those opportunities by placing their exceptional people where they need to be, anywhere in the world. When it comes to service, we set the bar for exceptional … and then we raise it with fresh ideas, leading tools and innovative approaches, and it’s all grounded in our values of truth, love, and integrity. We call it People-first Mobility. We’re looking for exceptional people who share those values along with our passion for delivering the highest levels of service. If that sounds like you, and if you’re ready for a new career opportunity, we’d like to hear from you! Here’s to the world ahead.

As a Data Engineer, you play a vital role in our commitment to data-driven decision-making. Your responsibilities involve designing and implementing projects that consolidate data from various sources, facilitating analysis and informed decision-making. Your primary focus is ensuring that data is easily accessible and user-friendly, allowing for both routine and ad-hoc analysis.

We are committed to fair and transparent compensation. The salary range for this role is based on several factors including experience, skills, and qualifications and is $145,000 to $165,000 CAD.

Essential Duties and Responsibilities

• Collaborate with colleagues and clients to provide the necessary tools for routine and non-routine data analysis.
• Accelerating all efforts through leveraging AI
• Translate business requirements into technical solutions, drawing on your strong business acumen.
• Analyze current business practices, processes, and procedures to identify future opportunities.
• Assess client needs to create customized data design services.
• Offer exceptional support to our business partners.
• Develop the foundational components for evolving enterprise data solutions.
• Architect and construct modern data pipelines.
• Implement effective metrics and monitoring systems.
• Make independent decisions and provide guidance to your peers.
• Create and promote technical best practices for modeling and report design.
• Perform any other related duties as required or assigned.

Required Skills

• 5+ years of experience in data engineering.
• 4+ years of hands-on experience with Azure Databricks
• Experience supporting AI-ready data solutions, including preparing, transforming, and governing data for analytics, machine learning, and generative AI use cases.
• Proficiency in agile development methodologies, including DevOps concepts.
• Proficiency in version control platforms like Git.
• Mastery of TSQL and ANSI SQL
• Strong understanding and capability in Python for data-related tasks and integration.

As a testament to our commitment to diversity, equity, inclusion, and belonging, our salary bands are transparent both internally and as a part of our external recruitment process. The targets for this role are dependent on market/ geographic location and range from $145,000 to $165,000 CAD.