About Us
Retailogists is your comprehensive retail partner dedicated to optimizing your ROI. Leveraging cutting-edge technology and data-centric digital marketing, we fuel your business growth and help you achieve your objectives. Our seasoned experts simplify the complexities of eCommerce, from devising effective digital strategies to crafting high-performance transactional platforms and executing intelligent marketing plans.
We excel in streamlining your business operations through automation and synchronization, covering areas such as transactional solutions for both B2C and B2B, merchandising, logistics optimization, and systems integrations, including ERP, inventory, and CRM.
We also specialize in building state-of-the-art data infrastructure that empowers you with actionable business insights, ranging from straightforward reporting to AI-driven decision-making.
About the Role
Retailogists is looking for a Data Engineer who is passionate about data and driving business impact. While we are looking for a candidate with deep software and data engineering expertise, role will entail a large Analytics and BI component as well.
Working setup
Remote or Hybrid (offices in Montreal and the GTA)
Must work in Eastern Time
Responsibilities
As a Senior Data Engineer at Retailogists, you'll play a critical role in building and scaling our data infrastructure, both for internal tools and client-facing platforms. You’ll be responsible for designing and maintaining scalable data pipelines, enabling analytics, and contributing to a robust data platform that supports BI and AI workloads. Your responsibilities will include:
Architecting data driven solutions to real e-commerce and retail business problems
Designing and maintaining high-quality ETL/ELT pipelines across multiple data sources
Modelling and transforming data for analytics use cases (data lakes, warehouses, semantic layers)
Supporting and building BI and analytics workflows, including metric definitions and dashboarding
Collaborating with engineers, analysts, and data scientists to deliver end-to-end solutions
Contributing to internal data platform components and reusable tooling
Working directly with clients to deliver end-to-end solutions and reports
Work on other interesting projects with different tech stacks
Qualifications
3+ years of professional experience in data engineering or analytics engineering
Deep understanding of data engineering concepts: ETL, data lakes, data warehousing, orchestration
Advanced SQL skills – capable of writing efficient, scalable queries for large datasets
Proficiency with Spark and Pandas
Strong interest in analytics and BI – a significant part of this role involves analytics engineering
Deep experience with at least one BI tool (Metabase, Looker Studio, PowerBI etc.)
Experience with cloud-native data platforms (BigQuery, Snowflake, Redshift, etc.)
Familiarity with DBT and semantic layer modelling
Nice to have
Retail, fashion, or wholesale experience (ERP / supply chain a plus)
Relevant open source profile or academic/industry collaborations
Bachelor’s or Master’s degree in Data Science / Analytics, Computer Science or any related field