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Data Engineer (Intermediate)

  • Kelowna, BC, Canada

SALARY The wage band is KF level 12 $91,333 - $114,000.

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Job details

Pay
SALARY The wage band is KF level 12 $91,333 - $114,000.
Experience
Intermediate: minimum 2-5 years of experience in Data Engineering, Data Warehousing, or related technical roles.
Posting language
English
Posted

Original job description

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 2-5 years of experience in Data Engineering, Data Warehousing, or related technical roles.
  • 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. 
  • Ability to be self directed, initiative driven, independent, proactive and resourceful 

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 12 $91,333 - $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 today!

#PR

More about this job

Responsibilities

The Data Engineer at KF Aerospace will build and maintain data pipelines, databases and reporting solutions. The role also supports Microsoft Fabric and Power BI, monitors data performance, and works with teams to turn requirements into data solutions.

Requirements

Candidates need a degree or diploma in computer science or a related field, or equivalent experience, plus 2 to 5 years in data engineering or data warehousing. Strong SQL, SQL Server, Microsoft Fabric, Azure Synapse and Power BI skills are required.

Skills

  • Microsoft Fabric
  • Azure Data Factory
  • Azure Synapse Analytics
  • SQL Server
  • T-SQL
  • Power BI
  • OneLake
  • Data Warehousing
  • ETL/ELT pipelines
  • Data Lakehouse architecture
  • Medallion architecture
  • Data modeling
  • Query optimization
  • Python
  • Apache Spark
  • REST APIs
  • Azure DevOps
  • Data governance
  • Data quality
  • Data integration
  • Cloud data platforms
  • Pipeline monitoring and troubleshooting
  • Technical documentation
  • Stakeholder collaboration

Benefits

  • Health and dental insurance
  • Short and 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 and family assistance program
  • Uniform allowance
  • Performance bonus program

Categories

  • Technology
  • Software
  • Data & Analytics

Keywords

  • Data Engineer
  • Microsoft Fabric
  • Azure
  • SQL Server
  • Power BI
  • ETL
  • ELT
  • Data Lakehouse
  • Medallion architecture
  • Azure Data Factory
  • Azure Synapse
  • OneLake
  • Data Warehouse
  • Python
  • Spark
  • REST APIs
  • Azure DevOps
  • data modeling
  • data pipelines
  • aerospace data

Seniority

Mid level

Perks

  • Generous paid time off
  • Retirement plan
  • Performance bonus
  • Wellness program
  • Uniform provided
  • Remote work allowance

Tools

  • SQL Server
  • Microsoft Fabric
  • Azure Synapse
  • Power BI
  • Azure Data Factory
  • Azure DevOps
  • Python
  • Spark
  • OneLake

Languages

  • English

Fields of study

  • Computer Science
  • Information Systems
  • Software Engineering

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