Data Engineer

Kanbrick

. Develop reliable, documented, and stable production-grade infrastructure for reporting and business decisions .

Posted 11/11/2026full-timeRemote • Michigan • United States, United Kingdom, IrelandMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building and maintaining data pipelines and infrastructure, with proficiency in SQL and Python. Capable of translating user requirements into effective code while ensuring reliable reporting and data modeling.

Highest-signal resume keywords

Data Pipeline DevelopmentSQL ProficiencyPython ProficiencyAzure ExperienceDimensional Modeling

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data EngineeringData Warehouse DevelopmentELT Pipeline BuildingCI/CDGitHubAI-Native DevelopmentCodex ExperienceClaude Code ExperienceBusiness Intelligence ToolsSpreadsheet Integration

Soft Skills

Ownership MindsetComfort With AmbiguityPractical Problem Solving

Tools & Technologies

AzureDatabricksERP SystemsCRM SystemsShop-Floor Tracking Systems

Industry Keywords

Finance LiteracyAccounting LiteracyManufacturing DataBusiness ReportingData Infrastructure

Tech Stack

Tools & technologies

AzureERPPythonSQL

About the role

Key responsibilities & impact

Develop reliable, documented, and stable production-grade infrastructure for reporting and business decisions
Build and maintain data pipelines from ERP, CRM, shop-floor tracking, and other company systems into the consolidated data warehouse
Shape raw data into usable models and own the reporting layer
Build and maintain reporting connected to how AAG companies operate
Take over development and day-to-day maintenance of the data system alongside technical leadership
Translate requirements from the CEO and AAG Leadership Team into code
Support data infrastructure serving Commercial, Manufacturing, Finance, Marketing, and other functions

Requirements

What you’ll need

Experience as a data or analytics engineer who has built or substantially contributed to data pipelines or a warehouse
Software engineering experience with a focus on data infrastructure
Experience building pipelines behind spreadsheets and BI tools
Ability to translate user requirements into code
Ownership mindset and willingness to handle system maintenance
Comfort with ambiguity and making progress before every requirement is defined
Bias toward practical, efficient solutions
Proficiency in SQL
Proficiency in Python
Experience with Azure
Experience with Databricks
Dimensional modeling experience
Experience building ELT pipelines
CI/CD and GitHub/branching experience
AI-native development and experience with Codex or Claude Code
Finance and accounting literacy, ERP systems, and manufacturing data/process experience are nice to have
Remote eligibility in the U.S., UK, or Ireland, or ability to work in person at Stevensville, Michigan; Devon, UK; or Strathaven, Scotland
Ability to undertake periodic domestic and international travel (<10%)