Your New Company

Join a leading Canadian retail organization that is transforming its digital ecosystem through data-driven innovation. The company is investing in scalable data infrastructure to power intelligent systems for search, personalization, and catalogue optimization across millions of products.

The Data Platform team is at the heart of this transformation, building best-in-class data ingestion and delivery frameworks that support a wide range of features and services across the organization. This team enables real-time analytics, machine learning, and business intelligence by ensuring high-quality, reliable, and scalable data access.

Your New Role

As a Senior Data Engineer on the Data Platform team, you will be working on a best-in-class data ingestion and delivery framework that powers many different features and services. You will take a proactive role in architecting and optimizing data pipelines, uncovering insights, and ensuring data integrity to support critical reporting and analytics needs. Your expertise will guide the design and implementation of scalable, high-performance data models, and you will mentor junior team members to elevate the overall engineering quality.

Key Responsibilities:

● Work with stakeholders to architect and develop data driven-solutions that support

diverse data consumers across the organization.

● Drive the development and implementation of robust data models and semantic layers

for business intelligence and analytics.

● Architect, build, and optimize data pipelines using technologies such as Python, Scala,

Beam, Spark, Iceberg, Airflow, and other GCP services.

● Build APIs to deliver real-time or pre-calculated data for high frequency, low latency

applications and microservices.

● Develop and implement rigorous testing, data validation, monitoring and alerting strategies to ensure accuracy and consistency while minimizing MTTR.

● Mentor and guide junior data engineers to promote best practices and elevate the technical capabilities of the team.

● Collaborate with business and engineering teams, including Staff Developers and Product Managers, to identify and meet data delivery and transformation needs.

● Actively contribute to building a data-driven culture that prioritizes hypotheses-driven product development.

What You’ll Bring

● 4+ years of experience in software development, with at least 2 years as a Data Engineer.

● Extensive hands-on experience with relational databases like BigQuery for data warehousing and analytics, as well as some experience with non-relational databases such as BigTable.

● Proven ability to write complex SQL queries and perform advanced analysis on large datasets.

● Strong programming experience in Python, Scala, Java, or other data processing languages.

● Strong experience with cloud technologies (GCP, AWS, Azure) and data infrastructure.

● Advanced understanding of data warehouse concepts and best practices.

● Strong experience with Git for version control and collaborative development.

● Strong oral and written communication skills, with an ability to articulate technical concepts to both technical and non-technical stakeholders.

● Proven team player that will work well in a dynamic and fast-paced environment.

● Experience working in an agile environment with a focus on iterative delivery and continuous improvement.

● Passionate about data, with a strong desire to learn and continuously improve.

What You’ll Get in Return