Intermediate to Senior Data Engineer to Retail division designing, building, and maintaining modern data
Job in
Calgary, Alberta, T3S, Canada
Listing for:
S.i. Systems
Full Time, Contract
position
Listed on 2026-08-29
Job specializations:
-
IT/Tech
Data Engineering, Data Warehousing
Job Description & How to Apply Below
Position: Intermediate to Senior Data Engineer to support a Retail division by designing, building, and maintaining modern data
Our large Oil & Gas industry client is seeking an Intermediate to Senior Data Engineer to support a Retail division by designing, building, and maintaining modern data pipelines and data platforms that enable reporting, analytics, and business insights.
This is an initial contract to the end of year with a possibility of extension. The successful candidate will be based in Calgary and agreeable to working full-time onsite in the heart of downtown Calgary and provide their own laptop/device upon offer.
Must-Haves:
5+ years of experience as a Data Engineer, Data Platform Engineer, or similar roleStrong hands-on experience with Databricks
or
SnowflakeAdvanced SQL skills with experience developing complex queries, stored procedures, and optimizing data performanceExperience building and maintaining ETL/ELT pipelines using modern cloud-based data platformsExperience with Python for data engineering, automation, and data transformationExperience working with Azure data services and cloud-based data environmentsNice-to-Haves:
Experience supporting Power BI reporting and analytics environmentsExperience with Delta Lake, Spark, or Py Spark Familiarity with CI/CD pipelines and source control (Azure Dev Ops, Git)Experience with in Retail, Sales & Marketing, or Oil & Gas environmentsKey Responsibilities:
Design, develop, and maintain scalable data pipelines and ETL/ELT processes using Databricks & Snowflake.Build and optimize data models to support reporting, analytics, and business intelligence initiatives.Integrate data from multiple enterprise systems into centralized data platforms.Ensure data quality through validation, monitoring, and troubleshooting of data pipelines.Optimize data performance, reliability, and scalability across cloud-based environments.Collaborate with business stakeholders, analysts, and BI developers to understand data requirements and deliver reliable datasets.
Position Requirements
10+ Years
work experience
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