Data Engineer

DAC Group; Toronto; On-site; CAD 80,000 - 100,000; Full time

Job summary

A global performance media agency is seeking a Data Engineer to support and learn from data engineering practices. The ideal candidate will have 1-2 years of experience with Snowflake and knowledge of data pipelines. The role emphasizes collaboration and learning under senior guidance, with a competitive benefits package and in-office requirements.

Benefits

Professional growth opportunities

Competitive salary and comprehensive health benefits

Generous PTO

Qualifications

• 1-2 years of experience with Snowflake.
• Basic understanding of cloud data warehousing solutions.
• Experience with Dagster and dbt for data orchestration and transformation.

Responsibilities

• Assist in designing, developing, and maintaining scalable data pipelines.
• Support migration of existing data infrastructure to Snowflake.
• Collaborate with data analysts and senior engineers.

Skills

Snowflake

SQL

Python

Data modeling

Problem-solving

Collaboration

Data visualization

Tools

Dagster

dbt

AI tools

Job description

Overview

Move Your Career Forward with DAC as a Data Engineer.

Who We Are

We are DAC, a global full-funnel performance media agency dedicated to delivering transformative results. With expertise spanning SEO, paid media, creative production, analytics, and local optimization, we combine the brightest minds with innovative technology to deliver seamless forward-thinking strategies. Powered by AI, data, and creative ingenuity we deliver integrated campaigns that engage customers at every touchpoint—from global audiences to individual store locations.

Position Summary

We are looking for a Data Engineer with 1-2 years of experience in data engineering with exposure to cloud data warehousing solutions like Snowflake and orchestration tools like Dagster. The ideal candidate will be eager to learn about architecting scalable data pipelines, data modeling, and integrating data from various marketing platforms under the guidance of senior team members.

Responsibilities

• Support and learn from our data engineering practice
• Assist in designing, developing, and maintaining scalable data pipelines and ETL/ELT processes
• Support migration of existing data infrastructure to Snowflake under senior guidance
• Work with Dagster for orchestration and dbt for data transformation workflows
• Help integrate data from various marketing data sources into our data warehouse
• Utilize AI tools and knowledge to enhance data engineering processes and problem-solving
• Collaborate with data analysts and senior engineers to understand data needs and contribute to solutions
• Support data quality, integrity, lineage, and security initiatives across data pipelines
• Assist the analytics team with data preparation for visualization efforts

Qualifications

• 1-2 years of experience with Snowflake (this is our key requirement)
• Basic understanding of cloud data warehousing solutions
• Experience with Dagster and dbt for data orchestration and transformation
• Foundational knowledge of ETL/ELT processes and data pipeline concepts
• Programming skills in SQL and Python (intermediate level)
• Experience with AI tools and technologies – we value candidates who leverage AI for productivity and problem-solving
• Strong problem-solving mindset and attention to detail
• Good communication skills and eagerness to collaborate with cross-functional teams
• Nice to have: Some exposure to media/advertising data or digital marketing platforms
• Nice to have: Interest in data visualization tools like Qlik Sense

What Youll Get

• Professional Growth: Work with top-tier clients and cutting-edge tools in the performance marketing industry.
• Collaborative Culture: Be part of a global organization that values curiosity, transparency, and innovation.
• Competitive Benefits: Competitive salary and comprehensive health benefits.
• Generous PTO, wellness initiatives, and parental leave.
• Retirement saving plans.
• Opportunities for continued learning and professional development.
• A supportive, collaborative, and casual work environment.

How We Work

This role requires two in-office days per week with three days in-office during the three-month orientation period. Remote work is not available for this position.

This description has been designed to indicate the general nature and level of work performed by employees within this position. The actual duties, responsibilities, and qualifications may vary based on assignment or group. DAC is an equal opportunity employer committed to providing equal employment opportunities to all employees and applicants without regard to race, color, ethnicity, gender, age, religion, creed, national origin, sexual orientation, gender identity, marital status, citizenship, genetic information, disability, or any other basis prohibited by applicable federal, provincial, state, or municipal law. If you require an accommodation in any aspect of the selection process, please reach out.

At DAC we celebrate your contributions, provide you with opportunities, and support your total well-being. Our offerings include health, vision, dental, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and employee assistance support. Full-time employees are eligible to participate in the DAC benefit programs.

Salary at DAC is determined by various factors including but not limited to location, the individual's education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements.

Key Skills

Apache Hive, S3, Hadoop, Redshift, Spark, AWS, Apache Pig, NoSQL, Big Data, Data Warehouse, Kafka, Scala

Experience: Full-Time

Vacancy: 1