Data Engineer - Supply Chain Analytics & Data Enablement

About The ALDO Group

Specializing in stylish and accessible footwear, handbags, and accessories, the ALDO Group has been around for more than 50 years. With over 1,500 stores in more than 100 countries, we operate under two signature brands, ALDO and Call It Spring, and we are the core footwear partner for Sperry in North America. The ALDO Group is also an industry-recognized wholesale licensed partner, specializing in the design, sourcing, and distribution of fashion footwear, handbags, and accessories. Our diverse portfolio includes household brands such as ROXY, Brooks Brothers, Ted Baker, Hunter, and G.H.BASS. In addition to our head office in Montreal, the ALDO Group maintains international offices in Europe and Asia. For more information, visit www.aldogroup.com.

Job Description

The ALDO Group is seeking a Data Engineer to join the Supply Chain organization, embedded within the broader Data & Analytics ecosystem. This role is responsible for designing, developing, and maintaining data solutions that bring external and cross-functional data sources into the organization’s analytics platform, and for supporting the migration of existing reporting from Power BI to Amazon QuickSight. Reporting to the Chief Supply Chain Officer with a dotted line to the VP Data, AI & Development, this position bridges supply chain business needs with enterprise data engineering standards. The Data Engineer will work within the established AWS-native data stack, collaborate closely with the central data engineering team, and ensure that supply chain data products are reliable, well-governed, and aligned with organizational architecture. The ideal candidate brings hands-on experience building production-grade data pipelines on AWS, comfort working with diverse and sometimes messy external data sources (Excel files, flat files, PDFs, direct integrations, and potentially EDI feeds), and a practical understanding of BI tooling. Supply chain domain experience and a working knowledge of data science concepts are valued assets but not strict requirements.

Key Responsibilities

• Design, develop, and maintain data ingestion pipelines that bring external data sources (Excel, CSV, PDF, direct integrations, and potentially EDI) into Amazon Athena and the broader AWS data lake
• Lead the migration of existing Power BI dashboards and reports to Amazon QuickSight, including data layer preparation, semantic modeling, and validation of outputs against source-of-truth data
• Partner with supply chain stakeholders to understand reporting and analytics requirements, define data contracts, and deliver reliable datasets that support operational and strategic decision-making
• Build and maintain scalable data models for supply chain analytics, ensuring consistency across raw, curated, and consumption layers within the enterprise data architecture
• Work within the AWS technology stack including Athena, AWS Glue, S3, Redshift, dbt, Apache Hudi, and Lambda to build and deploy robust data workflows aligned with enterprise standards
• Implement and maintain data quality checks, validation rules, and observability to ensure trusted data for reporting, dashboards, and downstream applications
• Troubleshoot and resolve data processing, data quality, and production issues end to end, including root cause analysis and permanent fixes
• Collaborate with the central data engineering team to align on platform standards, code review practices, and architectural patterns
• Maintain clear documentation for pipelines, data models, and operational runbooks to support maintainability and onboarding
• Stay current with industry best practices in data engineering, analytics engineering, BI tooling, and supply chain data enablement

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Data Engineering, Software Engineering, or a related field
• 3 or more years of hands-on experience in data engineering, with a strong focus on building and operating production-grade data pipelines
• Experience designing, building, and maintaining data solutions using AWS technologies including Athena, AWS Glue, S3, and related services; experience with Redshift, dbt, Apache Hudi, and Lambda is a strong asset
• Strong proficiency in Python and SQL for data transformation, orchestration, and automation
• Practical experience ingesting and normalizing data from diverse external sources including Excel/CSV files, PDFs, APIs, and file-based integrations
• Working knowledge of BI platforms, with hands-on experience in Power BI, Amazon QuickSight, or both; experience migrating between BI tools is a strong asset
• Solid understanding of data modeling, data architecture, and lakehouse patterns for analytics platforms
• Good communication skills and the ability to work effectively with both technical teams and non-technical business stakeholders
• Experience contributing to platform standards, documentation, and operational processes is a strong asset

Building a culture of belonging

We firmly believe that the diversity of backgrounds, perspectives, and identities is a fundamental strength of the ALDO Group. We welcome applications from all backgrounds and are committed to providing a safe, respectful, and equitable work environment where everyone can reach their full potential and find their fit.