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Data Analytics Engineer Jobs in Alberta (NOW HIRING)

Suncor

Mine Engineer, Data Analytics

Fort Mcmurray, AB · On-site

Join us as a Specialist Mine Engineer, Data Analytics, and help transform complex operational data into insights that improve performance, efficiency, and decision-making across oil sands mining. In ...

Suncor

Mine Engineer, Data Analytics

Calgary, AB · On-site

Join us as a Specialist Mine Engineer, Data Analytics, and help transform complex operational data into insights that improve performance, efficiency, and decision-making across oil sands mining. In ...

Primus Workforce

Data Analysts

Edmonton, AB

CA$1 - CA$2/hr

Bachelor's degree in Information Technology, Computer Science, Data Analytics, Engineering, or a related field (or currently in progress with relevant experience) * 3-5 years of experience in a data ...

Lantern

Senior Data & AI Consultant

Edmonton, AB

Fabric Analytics Engineer Associate * Microsoft Certified: Azure Data Engineer Associate * Microsoft Certified: Power BI Data Analyst Associate Benefits * A culture that both wows our customers and ...

Recruitment Partners

Data Analyst

Edmonton, AB · On-site

Research new methods to optimize data analytics and daily business operations Your strengths include: * Bachelor's degree (or equivalent) in Computer Engineering, Information Technology, or related ...

Takeaway

Senior Manager - Data Engineering

Calgary, AB · On-site +1

CA$120K - CA$160K/yr

Lead the build-out of Canada's Gold/semantic consumption layer with data contracts and SLAs, and retire the legacy analytics warehouse. * Partner with the Lead Data Engineer on system design of our ...

Primus Workforce

Data Management

Edmonton, AB · On-site

CA$1 - CA$2/hr

Diploma or degree in Data Analytics, Data Science, Computer Science, Business, Economics, Engineering, Accountin g , or a related field * Experience in data analysis, financial analysis, or capital ...

Bird Construction

Senior Data Analyst

Edmonton, AB · Hybrid

Collaborate with Data Engineering and IT teams to ensure analytics solutions align with data Lakehouse architecture and enterprise platforms. * Demonstrate a strong understanding of Data Lakehouse ...

Bird Construction

Senior Data Analyst

Calgary, AB · Hybrid

Collaborate with Data Engineering and IT teams to ensure analytics solutions align with data Lakehouse architecture and enterprise platforms. * Demonstrate a strong understanding of Data Lakehouse ...

RSM

Data and Analytics Technical Manager

Calgary, AB · On-site +1

Collaborate with cross-functional teams including data scientists, engineers, business analysts, and stakeholders to define project requirements, objectives, and timelines. * Work closely with ...

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All JobsData Analytics Engineer JobsData Analytics Engineer Jobs in Alberta

Data Analytics Engineer information

See Alberta salary details

$65.5K

$117.1K

$197.5K

How much do data analytics engineer jobs pay per year?

As of Jun 16, 2026, the average yearly pay for data analytics engineer in Alberta is $117,079.00, according to ZipRecruiter salary data. Most workers in this role earn between $91,500.00 and $132,000.00 per year, depending on experience, location, and employer.

How do Data Analytics Engineers typically collaborate with data scientists and business stakeholders on projects?

Data Analytics Engineers play a crucial role in bridging the gap between raw data and actionable insights by building, optimizing, and maintaining data pipelines. They often work closely with data scientists to ensure data is clean, accessible, and structured for advanced analytics or machine learning models. Additionally, they collaborate with business stakeholders to understand reporting requirements and ensure that data solutions align with organizational objectives. Regular communication and cross-functional teamwork are essential aspects of this role, as engineers must translate business needs into technical specifications and deliver reliable data products.

Can I be a data analyst in 3 months?

Becoming a data analyst in three months is challenging but possible with intensive study of core skills such as SQL, Excel, and data visualization tools like Tableau or Power BI. Success depends on prior experience, learning pace, and dedication, but typically, developing proficiency takes longer than three months for most individuals.

What engineers make $500,000?

Senior data analytics engineers with extensive experience, advanced skills in data modeling, and proficiency in tools like Python, SQL, and cloud platforms can earn $500,000 or more annually, especially in high-cost-of-living areas or within large tech companies. Achieving this level often requires a combination of technical expertise, leadership roles, and sometimes stock options or bonuses.

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

To thrive as a Data Analytics Engineer, you need strong proficiency in data modeling, SQL, and statistical analysis, typically supported by a degree in computer science, statistics, or a related field. Familiarity with tools such as Python, R, Apache Spark, Tableau, and cloud data platforms like AWS or Google BigQuery is essential, along with relevant certifications. Excellent problem-solving, communication, and collaboration skills help you translate data insights into actionable business solutions. These skills and qualities are crucial for designing robust data pipelines and enabling data-driven decision-making across organizations.

Is AI replacing data analysts?

AI is transforming the role of data analysts by automating routine tasks such as data cleaning and basic analysis, allowing analysts to focus on more complex insights and strategic decision-making. However, data analysts are still essential for interpreting results, understanding business context, and communicating findings, making their skills valuable alongside AI tools. Continuous learning in data visualization, programming, and machine learning remains important for the role.

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

AspectData Analytics EngineerData Scientist
CredentialsBachelor's or master's in CS, Data Science, or related fields; certifications like Google Data AnalyticsBachelor's or master's in CS, Statistics, or related fields; certifications like Certified Data Scientist
Work EnvironmentFocus on building data pipelines, dashboards, and analytics toolsFocus on statistical modeling, machine learning, and data exploration
Employer & Industry UsageUsed across tech, finance, healthcare for data infrastructure and analyticsCommon in research, product development, and advanced analytics teams

While both roles work with data, Data Analytics Engineers primarily develop data infrastructure and tools for analysis, whereas Data Scientists focus on statistical modeling and machine learning to generate insights. They often collaborate but have distinct technical focuses.

What does a data analytics engineer do?

A data analytics engineer designs, builds, and maintains data pipelines and infrastructure to collect, process, and analyze large datasets. They use tools like SQL, Python, and cloud platforms to enable data-driven decision-making and often collaborate with data scientists and business teams to deliver actionable insights.
What are the most commonly searched types of Data Analytics Engineer jobs in Alberta? The most popular types of Data Analytics Engineer jobs in Alberta are:
What are popular job titles related to Data Analytics Engineer jobs in Alberta? For Data Analytics Engineer jobs in Alberta, the most frequently searched job titles are:
What job categories do people searching Data Analytics Engineer jobs in Alberta look for? The top searched job categories for Data Analytics Engineer jobs in Alberta are:
Data Analytics Engineer jobs near you
Infographic showing various Data Analytics Engineer job openings in Alberta as of June 2026, with employment types broken down into 58% Full Time, 35% Part Time, and 7% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $117,079 per year, or $56.3 per hour.

Senior Data & Analytics Engineer - Proactive Assurance

TELUS

Edmonton, AB • On-site

Other

Posted 25 days ago

TELUS rating

8.0

Company rating: 8.0 out of 10

Based on 9 frontline employees who took The Breakroom Quiz

19th of 78 rated telecommunications companies

Job description

Description

Join our team

This is an exciting opportunity to join the Proactive Assurance Team within Consumer Products and Services. We are a dynamic, fast-paced, and entrepreneurial team driven to delight our customers with proactive solutions affecting Internet, TV and Home Security customers across Canada. We are the destination of choice for team members that enjoy solving complex problems in a fast paced environment that have a large impact on our Customers.

You will join a team supporting highly visible proactive programs and owning the heart of the operation that orchestrates our digital messaging. Strong leadership and communication skills is key to this role as we manage over 40 active campaigns on track for 2 million digital interactions this year.

What you'll do

As a Data management team member on the Proactive Assurance team within Consumer Products and Services, you will play a pivotal role in owning the operations and orchestration of our daily campaign operations. Our ability to monitor the health of our program, as well as priming our reporting dashboards lies in your hands! Your ability to coordinate between campaign leaders, key stakeholders and technical teams will be essential in ensuring the successful execution of projects that deliver tangible value to the organization. You will leverage your expertise in data science, data engineering, telecom infrastructure and home networking to provide insights that increase operational efficiency and drive continuous improvement, ultimately realizing value for TELUS.

  • Manage the day to day operations of all proactive campaigns including our refresh, validation and filtering process, ensuring our messages (SMS, RCS, e-mail or push notifications) are successful every day
  • Push to enhance our digital mediums - how we engage our customers -> own the roadmap, delivery and execution through close partnership with key stakeholders
  • Lead the development and maintenance of data analytics dashboards for the Proactive Assurance
  • Own our metrics! Churn, dispatch rates, customer engagement, customer interventions, proactive reach are just a few
  • Data engineer pipelines to clean data and prepare for visualization
  • Access telemetry data from our network elements and analyze the customer impact of those metrics.
  • Partner with Data Science to development, validation, and deployment of AI/ML models for proactive support of customers experiencing network issues
  • Use exceptional SQL skills to integrate data across many systems
  • Create actionable insights and reports to support strategic decision-making
Qualifications

What you bring
 

  • Advanced expertise in data analytics and visualization tools (Tableau, Looker, Carto)
  • Using AI tools to analyze and present data (Claude, Gemini, ChatGPT, ..)
  • Advanced expertise using SQL
  • Experience with spatial SQL (Big Query, Postgre)
  • Experience building data procedures and scheduling and orchestrating data pipelines
  • Expertise in programming languages (Python)
  • Experience in Data Architecture and Data Warehousing
  • Strong understanding of telecom network and home networking
  • Knowledge of cloud platforms (Google Cloud, AWS, Azure)
  • Experience with source control (GitHub)
  • Experience with AI/ML model development and deployment
  • Strong project management and stakeholder communication skills
  • Advanced degree in Data Science, Computer Science, or related field

Apply