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Senior Data Analytics Engineer Jobs in Alberta (NOW HIRING)

Senior Data Analyst Reporting to the Manager, Business Intelligence & Analytics, the Senior Data ... Collaborate with Data Engineering and IT teams to ensure analytics solutions align with data ...

Senior Data Analyst Reporting to the Manager, Business Intelligence & Analytics, the Senior Data ... Collaborate with Data Engineering and IT teams to ensure analytics solutions align with data ...

Senior Power BI Developer Reporting to the Manager, Business Intelligence & Analytics, the Senior ... Senior Data Analyst) will have a deep understanding of Data, AI, and Analytics solutions. You will ...

Senior Power BI Developer Reporting to the Manager, Business Intelligence & Analytics, the Senior ... Senior Data Analyst) will have a deep understanding of Data, AI, and Analytics solutions. You will ...

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 ...

... Engineering/Data Science utilizing R (purrr, tidyr, dplyr, tibble, & the tidyverse ... Strong analytical skills working with unstructured data sets * Knowledge of relational (PostgreSQL ...

... Engineering/Data Science utilizing R (purrr, tidyr, dplyr, tibble, & the tidyverse ... Strong analytical skills working with unstructured data sets * Knowledge of relational (PostgreSQL ...

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 ...

... Engineering/Data Science utilizing R (purrr, tidyr, dplyr, tibble, & the tidyverse ... Strong analytical skills working with unstructured data sets * Knowledge of relational (PostgreSQL ...

... Engineering/Data Science utilizing R (purrr, tidyr, dplyr, tibble, & the tidyverse ... Strong analytical skills working with unstructured data sets * Knowledge of relational (PostgreSQL ...

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 remote to start with later relocation to Calgary or Winnipeg . Our client is a global ...

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Showing results 1-20

Senior Data Analytics Engineer information

See Alberta salary details

$91.5K

$144.1K

$179.5K

How much do senior data analytics engineer jobs pay per year?

As of Jul 20, 2026, the average yearly pay for senior data analytics engineer in Alberta is $144,120.00, according to ZipRecruiter salary data. Most workers in this role earn between $129,000.00 and $161,500.00 per year, depending on experience, location, and employer.

What is the difference between Senior Data Analytics Engineer vs Data Scientist?

AspectSenior Data Analytics EngineerData Scientist
CredentialsBachelor's/Master's in Data Science, Computer Science, or related fieldsBachelor's/Master's in Data Science, Statistics, or related fields
Work EnvironmentFocus on data pipelines, analytics tools, and reporting systemsFocus on model development, statistical analysis, and predictive modeling
Industry UsageUsed in analytics teams to build data infrastructure and insightsUsed in R&D, product development, and research teams for modeling

While both roles require strong analytical skills and similar educational backgrounds, Senior Data Analytics Engineers primarily focus on building and maintaining data infrastructure and delivering insights through analytics tools. Data Scientists, on the other hand, concentrate on developing predictive models and statistical analysis. The roles often collaborate but serve different functions within data-driven organizations.

How does a Senior Data Analytics Engineer typically collaborate with cross-functional teams to deliver insights?

As a Senior Data Analytics Engineer, you will frequently work with stakeholders in product, marketing, and engineering to translate business needs into data solutions. This involves gathering requirements, designing and building data pipelines, and presenting actionable insights. Effective communication and regular meetings with team members ensure that data models and dashboards align with business objectives. You may also mentor junior analysts and engineers, fostering a collaborative and knowledge-sharing environment.

What does a Senior Data Analytics Engineer do?

A Senior Data Analytics Engineer is responsible for designing, developing, and maintaining scalable data pipelines and analytical solutions. They work closely with data scientists, analysts, and business stakeholders to gather requirements and ensure data quality and availability. Their role often includes optimizing data workflows, implementing best practices in data management, and mentoring junior team members. Additionally, they help translate business needs into technical solutions to support data-driven decision making.

What are the key skills and qualifications needed to thrive as a Senior Data Analytics Engineer, and why are they important?

To thrive as a Senior Data Analytics Engineer, you need expertise in statistics, data modeling, and programming languages such as Python or SQL, typically backed by a degree in computer science, engineering, or a related field. Experience with data analytics tools (e.g., Tableau, Power BI), cloud platforms (e.g., AWS, Azure), and relevant certifications like Google Data Engineer are highly valued. Strong problem-solving, communication, and leadership skills help you translate complex data insights into actionable business strategies and mentor junior team members. These capabilities are crucial for delivering accurate data-driven solutions that drive organizational decision-making and innovation.
What are popular job titles related to Senior Data Analytics Engineer jobs in Alberta? For Senior Data Analytics Engineer jobs in Alberta, the most frequently searched job titles are:
What job categories do people searching Senior Data Analytics Engineer jobs in Alberta look for? The top searched job categories for Senior Data Analytics Engineer jobs in Alberta are:
Infographic showing various Senior Data Analytics Engineer job openings in Alberta as of July 2026, with employment types broken down into 1% Internship, 91% Full Time, 6% Part Time, and 2% Contract. Highlights an 77% Physical, 5% Hybrid, and 18% Remote job distribution, with an average salary of $144,120 per year, or $69.3 per hour.

Senior Data Analytics Developer - Fabric Platform

Krux Analytics Inc.

Calgary, AB โ€ข On-site, Remote

Full-time

Re-posted yesterday


Job description

SENIOR DATA ANALYTICS DEVELOPER-FABRICPLATFORM

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 seekingaSenior Data Analytics Developer - Fabric Platformto join our team. Reporting to theSoftware Development Manager, youwillbe responsibleforbuilding the data infrastructure that is keyto our products by organizing, collecting, and interpreting dataand thenturning that informationinto actionable insightsthat inform company decisions and drivesgrowth.


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 andmaintainenterprise scale Power BI semantic models (tabular)
  • Architect scalable and high-performance data modelsto support multi-tenant SaaS analytics
  • Define best practices for dataset design, governance, andlifecyclemanagement
  • Optimizemodel performance, DAX calculations,aggregationsand 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 withteammates forETL and data pipeline improvements
  • Providetechnical guidance on semantic layer design and analytics best practices
  • Support cross functional stakeholders with scalable reporting architecture
  • Assistin high-priority analytics platform issues

Who you are:

  • You areanexpertinPower BIdata modeling and Power BI services
  • You are deeply performance-minded, with a strong instinct for optimization, tuning, and proactivelyidentifyingissues before theyimpactusers 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 experienceas a data analyticsdeveloperor engineer
  • 5+ years of experience in developing dataarchitecture solutions using Tabular Editoris highly desirable
  • Experience in the energy, drilling and/ormining sector is an asset
  • Experience with databases for high performance, multi-tenant web applications is necessary
  • Familiarity with Azure cloud data services
  • Experience withdevtoolsincluding Git, Azure, DevOps, Visual Studio, Jira
  • Understandingof modern data development technologies (data engineering, pipeline, ETL)
  • Strong attention to detail, critical thinking, and problem-solving skills.


Work Location:
Calgary, AB (Office islocateddowntown)

Work remotely:Hybridwork 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 succeedis together.
  • You will help our customers.Not every roleis customerfacing but at the end of the day we are all working to make ourcustomers'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 offerswork-life balance with flexible hours anda 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 allvisible minorities, includingIndigenous applicants,and those of any religion, sex, age, ability, sexual orientation, genderidentityor expression to apply.

Now What?

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


Submit your cover letter and resumetoday.