Senior Data Engineer, Randstad

Randstad

Location:
Canada, Montréal

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

80000.00 - 140000.00 CAD / Year

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Job Description:

We are looking for a motivated and skilled Senior Data Analyst to join our dynamic team. In this hybrid role, you will work closely with cross-functional teams to drive the strategic use of data and contribute to business intelligence, data analytics, and system integration efforts. As a Senior Data Analyst, you will lead the development of data pipelines and oversee the design and integration of data models. You will stay informed on emerging technologies and best practices in data engineering while mentoring and providing technical guidance to team members. You will also play a key role in the adoption and implementation of new technologies to enhance our data strategy and roadmap, ensuring efficient, reliable, and accurate data delivery to stakeholders.

Job Responsibility:

Lead development efforts within our existing data stack, including Snowflake, DBT, Astronomer (Airflow), and AWS serverless architecture
Mentor and provide technical guidance to data engineers, developers, and analysts
Oversee the design and development of data pipelines to ingest data from various sources, transforming raw data into clean, scalable models that support business intelligence and analytics
Lead the evaluation and implementation of a data orchestration tool (e.g., Astronomer Airflow, Dagster) to effectively coordinate and monitor data pipelines and downstream dependencies
Establish and monitor data quality processes to ensure accurate, reliable, and timely data delivery to users
Implement processes to continuously monitor and evaluate the cost and performance of infrastructure and tools within our data platform

Requirements:

Bachelor’s degree or higher in Computer Science, Software Engineering, or a related field
Minimum 3 years of experience in data engineering or a related field
Expertise in using DBT with modern data warehouse technologies (experience with Snowflake preferred)
Strong programming skills in Python (or similar languages) to manipulate and analyze large datasets
Proficiency in SQL and data modeling techniques
Deep understanding of how data and technology align with and support strategic business objectives
Eagerness to learn new technologies and take on challenges

Nice to have:

Experience with AWS technologies, including Lambda, API Gateway, and EventBridge
Proficiency with data streaming technologies such as Kafka
Experience working with data in retail, e-commerce, marketing, or related industries

What we offer:

Group Insurance, Employee Assistance Program
Employer contributions to your RRSP
Employee discount and $300 annual fitness reimbursement
Subsidized cafeteria, free breakfast, coffee, tea, and more
Free weekly yoga sessions and on-site parking

Additional Information:

Job Posted:
May 29, 2025

Expiration:
July 13, 2025

Employment Type:

Fulltime

Work Type:

Hybrid work

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Senior Data Engineer