Senior Data Engineer

Minga London

. Own data ingestion end to end, including hardening or replacing Stitch pipelines and introducing orchestration .

Posted 9/16/2026full-timeKelowna • CanadaSenior💰 CA$130,000 - CA$160,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building and operating production data pipelines, with a strong focus on cloud data warehousing using Snowflake and data modeling with dbt. Capable of managing sensitive data, enforcing privacy standards, and collaborating with cross-functional teams to enhance data accessibility and usability.

Highest-signal resume keywords

Snowflake Data Warehouse ManagementDbt Data ModelingProduction Data Pipeline DevelopmentSQL and Python ProficiencyData Privacy and Access Control

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data Pipeline DevelopmentCloud Data Warehouse ManagementSQLPythonData ModelingData MigrationData Privacy StandardsOrchestration Tool ProficiencyAI ToolingData Analysis

Soft Skills

Strong Written CommunicationDocumentation SkillsTeaching and Mentoring

Tools & Technologies

DbtSnowflakeMetabaseAI ToolingOrchestration Tools

Industry Keywords

SaaSHigh-Growth EnvironmentFERPAPIPEDARevOpsCXProduct Analytics

Tech Stack

Tools & technologies

CloudPythonSQL

About the role

Key responsibilities & impact

Own data ingestion end to end, including hardening or replacing Stitch pipelines and introducing orchestration
Introduce and own a versioned modelling layer using dbt or an equivalent framework
Define and enforce access, retention, and PII-handling standards across Snowflake and Metabase
Run an intake queue and service commitment for RevOps, Finance, CX, and Product
Teach analysts to self-serve
Partner with product squads on the analytics event model for the new platform
Develop tooling to map legacy data into the new platform as customers migrate
Manage Snowflake and pipeline costs relative to usage
Use AI tooling daily and establish standards for reviewing AI-assisted data work
Own Minga’s data platform and become the data lead for the ground-up platform rebuild

Requirements

What you’ll need

5+ years of experience building and operating production data pipelines
Proven success owning a cloud data warehouse end to end; Snowflake preferred
Experience with dbt or a comparable modelling framework
Experience working in a SaaS or high-growth environment, ideally as the first or only data engineer
Strong SQL and Python skills
Working knowledge of at least one orchestration tool
Hands-on experience with sensitive or regulated data and related access-control and privacy work
Strong written communication, including documentation and runbooks
Nice to have: exposure to student data regulations (FERPA, PIPEDA), HubSpot or Salesforce data, Metabase administration, or warehouse migration between schemas or platforms
Strong preference for candidates in the Okanagan and in office 3x a week; remote candidates considered

Benefits

Comp & perks

Supportive growth with autonomy and community support
Remote work option
Annual compensation reviews in November based on market benchmarks and individual performance
AI tools to make work faster, smarter, and less repetitive
Clear communication and mutual respect throughout the hiring process