Data Engineer – MS Fabric Developer
Data Engineer – Microsoft Fabric Developer (Spark Notebooks)
Location: Remote
Department: Digital Solutions / Data Engineering
Reports To: Data Engineering Lead / Director
Job Type: Full-time
About AIM
Architecture in Motion Inc. (AIM) is a Canadian technology consulting firm that supports organizations across public and private sectors with cloud platforms, data engineering, analytics, and enterprise technology solutions.
We partner with clients to deliver scalable, secure, and data-driven systems, with a strong focus on modern cloud platforms, including Microsoft Azure and Microsoft Fabric.
Role Overview
AIM is seeking a Data Engineer – Microsoft Fabric Developer with strong expertise in Spark Notebooks and modern data platforms.
This role is a hands-on individual contributor position focused on building, optimizing, and managing data pipelines, transformations, and analytics solutions within Microsoft Fabric. The ideal candidate will work closely with data analysts, Power BI developers, and solution architects to deliver high-quality, scalable data solutions.
Key Responsibilities
Data Engineering & Development
Design, develop, and maintain data pipelines using Microsoft Fabric
Develop and optimize Spark Notebooks (PySpark / Spark SQL) for data transformation and processing
Build scalable ETL/ELT workflows for structured and unstructured data
Data Platform & Architecture
Work within Microsoft Fabric ecosystem (Data Factory, Lakehouse, Warehousing)
Design and manage data models and storage layers (Bronze, Silver, Gold architecture)
Ensure performance optimization and efficient data processing
Integration & Data Management
Integrate data from multiple sources, including:
APIs
Databases
Cloud storage systems
Ensure data quality, validation, and governance best practices
Analytics & Collaboration
Collaborate with Power BI developers and analysts to support reporting requirements
Enable clean, structured datasets for reporting and visualization
Support business teams with data insights and troubleshooting
Optimization & Support
Monitor and optimize data pipelines and Spark workloads
Troubleshoot data issues and ensure reliability and performance
Support deployment and CI/CD processes for data solutions
Documentation & Process Improvement
Maintain technical documentation for data pipelines and workflows
Support standardization of data engineering processes and best practices
Required Qualifications
Education
Bachelor’s degree in Computer Science, Data Engineering, IT, or a related field
Experience
4–6+ years of experience in data engineering or data platform development
Hands-on experience with Microsoft Fabric or Azure Data Platform
Strong experience working with Spark Notebooks (PySpark / Spark SQL)
Technical Skills
Expertise in:
Microsoft Fabric
Spark / PySpark / Spark SQL
Data pipelines (ETL/ELT)
Experience with:
Azure Data Factory / Synapse / Fabric pipelines
Data Lake / Lakehouse architecture
SQL and relational databases
Understanding of:
Data modeling concepts
Data governance and quality frameworks
Core Competencies
Strong problem-solving and analytical skills
Ability to work in a cross-functional, collaborative environment
Strong communication and documentation skills
Ability to manage tasks independently in a remote setup
Nice to Have
Experience with Power BI and data visualization
Familiarity with CI/CD pipelines and DevOps practices
Experience with large-scale enterprise data platforms
What We Offer
100% remote work environment
Opportunity to work on modern cloud and data platforms (Microsoft Fabric)
Exposure to enterprise-scale data and analytics projects
Collaborative and growth-focused culture
Application Instructions
Please share examples of data engineering projects, GitHub repositories (if available), or relevant certifications in Microsoft/Azure data technologies.
Apply To This Job
Location: Remote
Department: Digital Solutions / Data Engineering
Reports To: Data Engineering Lead / Director
Job Type: Full-time
About AIM
Architecture in Motion Inc. (AIM) is a Canadian technology consulting firm that supports organizations across public and private sectors with cloud platforms, data engineering, analytics, and enterprise technology solutions.
We partner with clients to deliver scalable, secure, and data-driven systems, with a strong focus on modern cloud platforms, including Microsoft Azure and Microsoft Fabric.
Role Overview
AIM is seeking a Data Engineer – Microsoft Fabric Developer with strong expertise in Spark Notebooks and modern data platforms.
This role is a hands-on individual contributor position focused on building, optimizing, and managing data pipelines, transformations, and analytics solutions within Microsoft Fabric. The ideal candidate will work closely with data analysts, Power BI developers, and solution architects to deliver high-quality, scalable data solutions.
Key Responsibilities
Data Engineering & Development
Design, develop, and maintain data pipelines using Microsoft Fabric
Develop and optimize Spark Notebooks (PySpark / Spark SQL) for data transformation and processing
Build scalable ETL/ELT workflows for structured and unstructured data
Data Platform & Architecture
Work within Microsoft Fabric ecosystem (Data Factory, Lakehouse, Warehousing)
Design and manage data models and storage layers (Bronze, Silver, Gold architecture)
Ensure performance optimization and efficient data processing
Integration & Data Management
Integrate data from multiple sources, including:
APIs
Databases
Cloud storage systems
Ensure data quality, validation, and governance best practices
Analytics & Collaboration
Collaborate with Power BI developers and analysts to support reporting requirements
Enable clean, structured datasets for reporting and visualization
Support business teams with data insights and troubleshooting
Optimization & Support
Monitor and optimize data pipelines and Spark workloads
Troubleshoot data issues and ensure reliability and performance
Support deployment and CI/CD processes for data solutions
Documentation & Process Improvement
Maintain technical documentation for data pipelines and workflows
Support standardization of data engineering processes and best practices
Required Qualifications
Education
Bachelor’s degree in Computer Science, Data Engineering, IT, or a related field
Experience
4–6+ years of experience in data engineering or data platform development
Hands-on experience with Microsoft Fabric or Azure Data Platform
Strong experience working with Spark Notebooks (PySpark / Spark SQL)
Technical Skills
Expertise in:
Microsoft Fabric
Spark / PySpark / Spark SQL
Data pipelines (ETL/ELT)
Experience with:
Azure Data Factory / Synapse / Fabric pipelines
Data Lake / Lakehouse architecture
SQL and relational databases
Understanding of:
Data modeling concepts
Data governance and quality frameworks
Core Competencies
Strong problem-solving and analytical skills
Ability to work in a cross-functional, collaborative environment
Strong communication and documentation skills
Ability to manage tasks independently in a remote setup
Nice to Have
Experience with Power BI and data visualization
Familiarity with CI/CD pipelines and DevOps practices
Experience with large-scale enterprise data platforms
What We Offer
100% remote work environment
Opportunity to work on modern cloud and data platforms (Microsoft Fabric)
Exposure to enterprise-scale data and analytics projects
Collaborative and growth-focused culture
Application Instructions
Please share examples of data engineering projects, GitHub repositories (if available), or relevant certifications in Microsoft/Azure data technologies.
Apply To This Job