Position Overview: Data Engineer

About Northland Northland Properties is recognized throughout Canada as one of the most trusted names in hotels, restaurants, sports, and construction. Northland Properties Corporation is the force behind such brands as Sandman Hotel Group, The Sutton Place Hotels, Moxie's Grill & Bar, Chop Steakhouse & Bar, Denny's Restaurants, Shark Club Sports Bar, Portmarnock Hotel and Golf Links, Revelstoke Mountain Resort, The Dallas Stars, Grouse Mountain, Northland Asset Management Company and more to come!

Proud to be 100% Canadian-owned and operated, with over 200 outlets nationwide, locations also in the UK and USA, their home office is in Vancouver and employs over 10,000 talented individuals.

Opportunity Northland is looking for a Data Engineer who will be a part of our Data & Analytics team.

As a Data Engineer, you will be responsible for designing, building, and maintaining scalable data pipelines and architectures that enable efficient data collection, transformation, and analysis across the organization.

Your work will directly support our Data & Analytics initiatives by ensuring the availability, accuracy, and integrity of data from multiple sources.

This position is based in Vancouver, Canada and will report to the Manager, Data & Analytics.

Responsibilities:

• Design, develop, and maintain robust ETL/ELT pipelines using modern data engineering tools (dbt, Azure Data Factory, Databricks) .
• Architect and manage data warehouse and data lake solutions (e.g., Snowflake, Azure Synapse).
• Collaborate with data analysts and business stakeholders to understand data needs.
• Integrate data from diverse structured and unstructured sources (APIs, databases, cloud storage).
• Ensure data quality, integrity, and governance through validation and monitoring. Apply best practices in security, compliance, and privacy for sensitive datasets.
• Optimize queries and data models for performance and scalability.

Skills & Qualifications:

• Proficiency in SQL
• Experience working on Data projects; Understanding of data management, data modeling, BI and analytics concepts.
• Experience with ETL/ELT pipelines and Medallion architecture.
• Experience with Cloud Data Services and Big Data tools & technologies. Experience with the following specific technologies is a plus:
• Snowflake

Job Types: Full-time, Permanent