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Data Engineering Jobs in Alberta (NOW HIRING)

Bachelor's Degree (Computer Science, Technology, Engineering, or related field) * 10+ years of experience as a data analytics developer or engineer * 5+ years of experience in developing data ...

This role requires strong data engineering skills and leadership, effective written and verbal communication skills, a strong work ethic and a demonstrated capability to multi-task effectively as a ...

Bachelors or Diploma in Computer Science, Database Management, Data Programming, Information Systems, Data Engineering, Data Analytics, or other IT-related degree; * Strong database proficiency (e.g ...

Bachelors or Diploma in Computer Science, Database Management, Data Programming, Information Systems, Data Engineering, Data Analytics, or other IT-related degree; * Strong database proficiency (e.g ...

We are looking for an experienced Senior Data Engineer for our client. This is a permanent position that is completely remote! Our client is a global enterprise company with a product that you've ...

We are looking for an experienced Senior Data Engineer for our client. This is a permanent position that is completely remote! Our client is a global enterprise company with a product that you've ...

We are looking for an experienced Senior Data Engineer for our client. This is a permanent position that is completely remote! Our client is a global enterprise company with a product that you've ...

We are looking for an experienced Senior Data Engineer for our client. This is a permanent position that is completely remote! Our client is a global enterprise company with a product that you've ...

If you have a strong data engineering background with a passion for security and experience building enterprise-scale logging platforms, then we want to talk to you. A day in the life might look like:

Design scalable Data & AI platforms supporting data ingestion, quality management, feature engineering, model development, deployment, monitoring, and continuous improvement through DataOps, MLOps ...

We are looking for an experienced Senior Data Engineer for our client. This is a permanent position that is remote to start with later relocation to Calgary or Winnipeg . Our client is a global ...

We are looking for an experienced Senior Data Engineer for our client. This is a permanent position that is remote to start with later relocation to Calgary or Winnipeg . Our client is a global ...

We are looking for an experienced Senior Data Engineer for our client. This is a permanent position that is remote to start with later relocation to Calgary or Winnipeg . Our client is a global ...

We are looking for an experienced Junior Data Engineer for our client. This is a permanent position that is remote to start with later relocation to Calgary or Winnipeg . Our client is a global ...

We are looking for an experienced Junior Data Engineer for our client. This is a permanent position that is remote to start with later relocation to Calgary or Winnipeg . Our client is a global ...

We are looking for an experienced Senior Data Engineer for our client. This is a permanent position that is remote to start with later relocation to Calgary or Winnipeg . Our client is a global ...

We are looking for an experienced Junior Data Engineer for our client. This is a permanent position that is remote to start with later relocation to Calgary or Winnipeg . Our client is a global ...

We are looking for an experienced Junior Data Engineer for our client. This is a permanent position that is remote to start with later relocation to Calgary or Winnipeg . Our client is a global ...

Showing results 41-60

Data Engineering information

What is data engineering?

A Data Engineering job involves designing, building, and maintaining the infrastructure that enables efficient data collection, storage, and processing. Data Engineers develop pipelines to transform raw data into usable formats for analytics and machine learning. They work with databases, big data technologies, and cloud platforms to ensure data is accessible and reliable. Their role is crucial for organizations to make data-driven decisions and optimize business processes.

What does a data engineer do?

Data Engineers regularly design, build, and maintain scalable data pipelines to support analytics and business intelligence teams. Their daily tasks often involve working with large datasets, optimizing data storage, ensuring data integrity, and troubleshooting data-related issues. Collaboration with data scientists, analysts, and software engineers is common to align on data requirements and improve workflows. You may also participate in regular code reviews and contribute to the ongoing improvement of data infrastructure. This role is ideal for problem-solvers who enjoy working with both code and complex systems in a collaborative, fast-paced environment.

What skills and qualifications are needed to thrive as a data engineer?

To thrive in Data Engineering, you need a solid background in programming (such as Python, Java, or Scala), data modeling, and database management, typically supported by a degree in computer science or a related field. Familiarity with ETL tools, cloud platforms like AWS or Azure, big data frameworks (e.g., Hadoop, Spark), and relevant certifications is highly valued. Strong problem-solving abilities, effective communication, and the ability to work collaboratively across teams are key soft skills for this role. These attributes are crucial for designing robust data pipelines, ensuring data quality, and enabling organizations to make data-driven decisions efficiently.

Are data engineers still in demand?

Data engineers are currently in high demand due to the increasing reliance on data-driven decision making and the growth of big data technologies. They typically need skills in SQL, cloud platforms, and tools like Apache Spark or Hadoop, and job opportunities are expected to remain strong as organizations continue to prioritize data infrastructure.

What are the most commonly searched types of Data Engineering jobs in Alberta?

The most popular types of Data Engineering jobs in Alberta are:

What are popular job titles related to Data Engineering jobs in Alberta?

For Data Engineering jobs in Alberta, the most frequently searched job titles are:

What job categories do people searching Data Engineering jobs in Alberta look for?

The top searched job categories for Data Engineering jobs in Alberta are:

Infographic showing various Data Engineering job openings in Alberta as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 80% Full Time, 14% Part Time, and 4% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution.

Data Architect

Calgary, AB โ€ข On-site

Full-time

Re-posted 8 days ago


Job description

Data Architect

At Krux, Innovation Happens Together, by being a true partner to our customers, by valuing collaboration and teamwork, and by including a diversity of industry and life experience. 


 

We are seeking a Data Architect to join our team. Reporting to the Software Development Manager, you will be responsible for building the data infrastructure that is key to our products by organizing, collecting, and interpreting data and then turning that information into actionable insights that inform company decisions and drives growth.  


You will be part of a team that is self-motivated, highly collaborative, eager to learn and be challenged, and enjoys having fun. 


 

Who are we? 

Krux builds innovative SAAS solutions for the mining industry. We empower our customers to make better decisions through real-time data management and analytics. Understanding our customer's needs and the ability to solve their problems is what sets us apart. Krux, founded in 2016 and headquartered in Alberta, has global reach. We support client's operations on every continent (well, except Antarctica). 


 

What you will do 

  • Design, develop and maintain enterprise scale Power BI semantic models (tabular) 
  • Architect scalable and high-performance data models to support multi-tenant SaaS analytics 
  • Define best practices for dataset design, governance, and lifecycle management 
  • Optimize model performance, DAX calculations, aggregations and storage strategies 
  • Manage and enhance Power BI service environments (workspaces, deployment pipelines, security) 
  • Monitor and improve analytical database performance in cloud environments 
  • Conduct model tuning and capacity optimization to support growth and usage scaling 
  • Evaluate and enhance current analytics platform architecture 
  • Partner with teammates for ETL and data pipeline improvements 
  • Provide technical guidance on semantic layer design and analytics best practices 
  • Support cross functional stakeholders with scalable reporting architecture 
  • Assist in high-priority analytics platform issues 

Who you are: 

  • You are an expert in Power BI data modeling and Power BI services 
  • You are deeply performance-minded, with a strong instinct for optimization, tuning, and proactively identifying issues before they impact users or systems. 
  • You are security-conscious and disciplined, understanding the importance of data protection, access controls, and system reliability in production environments. 
  • You are a collaborative team player who works effectively with developers, QA, and product partners to solve complex problems and improve delivery outcomes. 
  • You are a mentor and continuous learner who enjoys elevating others, improving engineering practices, and staying current with evolving database technologies. 

What you bring: 

  • Bachelor’s Degree (Computer Science, Technology, Engineering, or related field)  
  • 10+ years of experience as a data analytics developer or engineer 
  • 5+ years of experience in developing data architecture solutions using Tabular Editor is highly desirable 
  • Experience in the energy, drilling and/or mining sector is an asset 
  • Experience with databases for high performance, multi-tenant web applications is necessary 
  • Familiarity with Azure cloud data services 
  • Experience with dev tools including Git, Azure, DevOps, Visual Studio, Jira 
  • Understanding of modern data development technologies (data engineering, pipeline, ETL) 
  • Strong attention to detail, critical thinking, and problem-solving skills. 


Work Location:
Calgary, AB (Office is located downtown) 

Work remotely:  Hybrid work schedule 


 

When You Work at Krux: 

  • You will be valued and respected. We believe every team member brings valuable ideas and experiences no matter their seniority. We support and empower the team and trust you to get the job done. 
  • You will be part of a team where we lend each other a hand. We strive for high performance by fostering an environment that emphasizes communication, collaboration, and mentorship. We believe that the only way to succeed is together. 
  • You will help our customers. Not every role is customer facing but at the end of the day we are all working to make our customers’ lives easier. Our goal is to create innovative solutions with a strong emphasis on user experience. 
  • You will have a life outside of work. We have partners, kids, families, and friends too, so we realize that work is just one part of your life. Krux offers work-life balance with flexible hours and a hybrid schedule. 


 

We value the power of our differences and at Krux, we walk our talk. We have a diverse team (including in leadership positions) and are dedicated to creating a diverse, equitable, and inclusive environment. We ensure equal opportunity for all applicants and encourage people of all visible minorities, including Indigenous applicants, and those of any religion, sex, age, ability, sexual orientation, gender identity or expression to apply. 

Now What? 

If this position sounds like a great fit, we want to hear from you!  


Submit your cover letter and resume today.