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Senior Data Engineer (AI-Powered Data Infrastructure)

vero • Canada
Relocation
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Key Highlights
Build scalable data infrastructure for AI-powered tech company
Own data warehouse, ETL pipelines, and reporting infrastructure
Shape future direction of data function with significant ownership
Key Responsibilities
Design and standardize data models across the business
Build and maintain production ETL/ELT pipelines
Own data warehouse, reporting, and BI infrastructure
Technical Skills Required
ETL/ELT Pipelines SQL Data Warehousing (Snowflake/BigQuery/Redshift/ClickHouse)
Benefits & Perks
Competitive salary (CAD $100k-$150k)
100% employer-covered health benefits
Unlimited paid vacation and flexible working hours
Hybrid working model (3 days in office)
Relocation support for the right candidate
Nice to Have
Experience with product analytics and experimentation
Experience with complex measurement systems
Familiarity with AWS data services and dbt

Job Description

The business is developing innovative AI-powered technology, processing large volumes of data generated from connected devices, customer activity, and in-house machine learning models. As the business continues to scale, they're looking for a Senior Data Engineer to take ownership of how data is collected, structured, modelled, and used across the organisation.

You'll play a key role in building the foundations of the company's data function, developing scalable data models, owning production ETL pipelines, and creating the reporting infrastructure that engineering, product, and commercial teams rely on.

Responsibilities:

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