Job Description

Job Title:

Senior Data Engineer

Department:

Looking to unbox your full potential?

Find YOUR Fit

at the ALDO GROUP.


Join the ALDO Group and thrive in a culture of continuous learning and impactful social responsibility! We offer exceptional training programs and are committed to ethical practices and sustainability.

Find YOUR Fit

while making a positive difference - apply now!

FIND YOUR FIT

Recognition programs to showcase your talent! Tools to support and help them to reach their Career Goals. (Training Offers, Scholarship Programs, LinkedIn Learning and more). To be part of a company that takes a stand on issues affecting people, the environment, and our partners Summer Fridays (because Summer is for fun) Purchase discount on merchandise sold in all our divisions. Family & Friends events with discounts on our products Subsidized cafeteria & daycare Subsidized public transportation and free parking On-campus gym with access to a trainer Flex schedules and possibility to work from home Sick days Attractive total compensation!

YOUR ROLE

We are seeking a Senior Data Engineer with a robust engineering background and extensive experience in AWS services to enhance our data capabilities. This role is pivotal in analyzing, designing, and implementing data solutions that support strategic decisions and innovation across our brands.

Design, develop, and optimize data pipelines using PySpark, ensuring scalability and efficiency. Leverage AWS services (Glue, DataBrew, S3, StepFunctions, Lambda, DataZone, Athena) for comprehensive data processing and analytics solutions. Implement robust data validation and quality assurance processes to maintain high data integrity. Collaborate effectively within an agile product environment, ensuring dynamic and successful project outcomes. Engage in collaborative projects with data architects, engineers, analysts, scientists, product owners, and scrum master's to deliver holistic data & AI products. Participate in academic collaborations, particularly with McGill University, to drive innovation and knowledge exchange. Work closely with industry partners to align our data strategy with current trends and best practices.

DO YOU HAVE THE PROFILE WE'RE LOOKING FOR?

Required Skills:

Bachelor's or master's degree in computer science, Software Engineering, or related field. Strong proficiency in SQL, data analysis, and PySpark. Extensive experience with AWS services, including S3, DynamoDB, DataZone, Glue, QuickSight, Lambda, DataBrew, and StepFunctions. Demonstrated ability to translate business needs into technical solutions with a focus on data integrity and quality. Excellent communication skills and a proven ability to work effectively in a team.

Preferred Qualifications:

Experience in data engineering, with a strong foundation in data analysis and engineering principles. Familiarity with the Retail, Fashion & Wholesale sector, ERP systems (SAP ECC, SAP S4 Hana, SAP CDS Views), and Supply Chain Management. Experience working in agile product environments and collaborating on academic and industry projects.

Assets:

Candidates with a track record of contributing to data architecture and strategy within agile environments will be given special consideration.

WE'RE ON A JOURNEY TO CREATE A WORLD OF LOVE, CONFIDENCE AND BELONGING

The ALDO Group has been on this journey for over 50 years. We believe that our passionate associates are at the heart of our success, and that with them we will lead into our future with kindness.


The ALDO Group is committed to diversity and inclusion, not only now, but for the long term. We strongly encourage people who are Aboriginal, racialized, have disabilities, come from gender and sexually diverse communities and/or have intersectional identities to apply for employment with us. At ALDO Group, we will always strive to take steps to create a diverse and inclusive work environment that promotes equal opportunity and accountability.

#FindYourFit

Job Requirements:

Required Skills:

Bachelor's or master's degree in computer science, Software Engineering, or related field. Strong proficiency in SQL, data analysis, and PySpark. Extensive experience with AWS services, including S3, DynamoDB, DataZone, Glue, QuickSight, Lambda, DataBrew, and StepFunctions. Demonstrated ability to translate business needs into technical solutions with a focus on data integrity and quality. Excellent communication skills and a proven ability to work effectively in a team.

Preferred Qualifications:

Experience in data engineering, with a strong foundation in data analysis and engineering principles. Familiarity with the Retail, Fashion & Wholesale sector, ERP systems (SAP ECC, SAP S4 Hana, SAP CDS Views), and Supply Chain Management. Experience working in agile product environments and collaborating on academic and industry projects.

Assets:

Candidates with a track record of contributing to data architecture and strategy within agile environments will be given special consideration.

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Job Snapshot

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Employee Type

Full-Time
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Location

Montreal, Quebec (Onsite)
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Job Type

Other
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Experience

Not Specified
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Date Posted

05/15/2025