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KF AerospaceVerified Job Source

Data Engineer (Intermediate - Senior)

  • Kelowna, BC
  • On-site
  • Posted Aug 31, 2026
  • 1 position

$73,000–$114,000 / year

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Employment type
Full-time
Experience level
Senior · 5+ years
Minimum education
Bachelor’s degree
Posting language
English
Working hours
40 hours per week

Job summary

Design, develop, and maintain scalable ETL/ELT pipelines and enterprise data solutions using Microsoft Fabric and Azure. Collaborate with stakeholders to build Lakehouse architectures and reporting solutions that enable data-driven decision making.

Job details

We’re all about the craft. KF Aerospace is proud to deliver innovative aircraft services for corporate, commercial, and military customers worldwide. Launched in 1970 out of British Columbia’s beautiful city of Kelowna, KF has grown to specialize in a wide range of aviation services including maintenance and modifications, cargo operations, military pilot training and aircraft leasing. With facilities across Canada, KF is home to over 1,200 highly skilled individuals. Our passion for our craft fuels every project we touch. JOB OVERVIEW KF Aerospace is seeking a Data Engineer to support the design, development, and modernization of our enterprise data platform. This role will help drive the implementation of scalable data solutions using Microsoft Fabric, Azure, SQL Server, and Power BI technologies. You will work closely with business stakeholders, analysts, developers, and report authors to build and maintain reliable data pipelines, modern Lakehouse architecture, and enterprise reporting solutions that enable data-driven decision making across the organization. This is an opportunity to contribute to a growing and evolving data environment while working with modern cloud and analytics technologies. DUTIES AND RESPONSIBILITIES * Design, develop, and maintain scalable ETL/ELT pipelines and enterprise data solutions. * Develop, optimize, and maintain complex SQL queries and database objects to support analytics and reporting solutions. * Support the implementation and optimization of Microsoft Fabric, including Data Factory, OneLake, Data Warehouse, and Power BI integrations. * Build and maintain Lakehouse and Medallion-based data architectures. * Integrate data from multiple enterprise systems, databases, APIs, and cloud platforms. * Monitor, troubleshoot, and optimize data processes for performance, reliability, and scalability. * Collaborate with business and technical teams to translate requirements into effective data solutions. * Support data governance, quality, security, and documentation standards. * Contribute to enhancement initiatives and adoption of emerging data technologies. REQUIREMENTS * Degree or diploma in Computer Science, Information Systems, Software Engineering, or equivalent experience. * Intermediate: minimum 3 years of experience in Data Engineering, Data Warehousing, or related technical roles. * Senior: minimum of 5 years of experience in Data Engineering, Data Warehousing, or related technical roles. * Strong SQL and relational database development experience, including query optimization and data modeling. * Strong experience with SQL Server, Microsoft Fabric, Azure Synapse, and Power BI. * Experience developing ETL/ELT pipelines and working with cloud-based data platforms. * Knowledge of Data Lakehouse, data modeling, and modern data architecture concepts. * Experience with Azure DevOps, REST APIs, Python, Spark, or Azure Data Factory is considered an asset. * Strong analytical, problem-solving, communication, and collaboration skills. BENEFITS Full-Time staff benefits include (but are not limited to): * Health and Dental * Short & Long-Term Disability * Life Insurance * Health Spending Account * Personal (Wellness) Spending Account * Paid vacation and Personal time off * Pension matching plan and voluntary RRSP * Employee & Family Assistance Program * Uniform allowance * A bonus program based on organizational performance SALARY The wage band is KF level 9-12 $73,000-$114,000. The expertise and technical skill level of the candidate is assessed during the selection process for placement within the band. Note: The salary range maximum signifies full job knowledge. HOW TO APPLY Be a part of our craft. Apply for the Data Engineer position at kfaero.ca/careers [https://www.kfaero.ca/careers] today! #PR

What you’ll do

Design, develop, and maintain scalable ETL/ELT pipelines and enterprise data solutions using Microsoft Fabric and Azure. Collaborate with stakeholders to build Lakehouse architectures and reporting solutions that enable data-driven decision making.

Requirements

Requires a degree or diploma in Computer Science or a related field with 3 to 5+ years of experience in Data Engineering. Proficiency in SQL, Microsoft Fabric, Azure Synapse, and Power BI is essential.

Benefits

• Health and Dental • Short & Long-Term Disability • Life Insurance • Health Spending Account • Personal (Wellness) Spending Account • Paid vacation and Personal time off • Pension matching plan and voluntary RRSP • Employee & Family Assistance Program • Uniform allowance • Bonus program based on organizational performance

Listed skills

  • Power BI · Preferred
  • SQL · Preferred
  • REST APIs · Preferred
  • Python · Preferred

Other relevant skills

Identified from the job description. Confirm important requirements above.

  • Sql
  • Microsoft Fabric
  • Azure Synapse
  • Power BI
  • Etl/Elt Pipelines
  • Data Modeling
  • Lakehouse Architecture
  • Azure Data Factory
  • Python
  • Spark
  • Rest Apis
  • Azure Devops
  • Relational Database Development
  • Data Governance
  • Query Optimization
  • Data Warehousing
  • Aircraft Leasing
  • Solutions Support
  • Pipelines
  • Reporting Solutions
  • Time Off Management
  • Azure Synapse Analytics
  • Data Lakehouse
  • Data-Driven Decision Making
  • Azure DevOps
  • Application Programming Interface (API)
  • Microsoft Azure
  • Software Documentation
  • Communication
  • Computer Science
  • Information Systems
  • Data Architecture
  • Data Engineering
  • Extract Transform Load (ETL)
  • Relational Databases
  • Scalability
  • Innovation
  • Problem Solving
  • Python (Programming Language)
  • Operations
  • Organizational Performance
  • RESTful API
  • Software Engineering
  • SQL (Programming Language)
  • Troubleshooting (Problem Solving)
  • Collaboration
  • Enterprise Application Software
  • Data Pipelines

Job areas

  • Data & Analytics
  • Technology
  • Software
  • Engineering
  • Transportation
  • Data Engineer
  • Software Developers
  • Database Administrators

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