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Data Engineering Jobs in Alberta (NOW HIRING)

Takeaway

Senior Manager - Data Engineering

Calgary, AB · On-site +1

CA$120K - CA$160K/yr

As Senior Manager, Data Engineering, you'll lead a team of data and analytics engineers, plus a contractor pod, building the platforms and consumption layer that power decisions, ML and customer ...

360training

Data Engineer (Canada)

Calgary, AB · Remote

This role will also take on other data engineering tasks like managing and enhancing data integration and data visualization. Your experience across a wide range of data technologies and data ...

TELUS

L3 Data Management (GCP)

Edmonton, AB · On-site +1

We provide business intelligence, data assets, data products, business metrics and data Engineering that drive and enable BI and analytics to support over 15,000 employees across diverse internal ...

TELUS

L3 Data Management (GCP)

Calgary, AB · On-site +1

We provide business intelligence, data assets, data products, business metrics and data Engineering that drive and enable BI and analytics to support over 15,000 employees across diverse internal ...

ShyftLabs

Data Engineer

Calgary, AB

Degree in Computer Science, Engineering, Mathematics, or related STEM discipline . * Strong ... Strong understanding of data warehousing and dimensional modeling methodologies . * Hands-on ...

Blend360

AI and Data Engineer

Edmonton, AB

This role sits at the intersection of software engineering, data engineering and applied AI: you will design the pipelines that power the personas and , the models and the platform deployments that ...

TELUS

Engineering Manager - Data Ingestion

Edmonton, AB · Remote

Design and own the SRE function for Level 1 data ingestion across all GCP deployments: alert policy design, SLO definition, incident management, and on-call operations * Eliminate manual data quality ...

TELUS

Engineering Manager - Data Ingestion

Calgary, AB · Remote

Design and own the SRE function for Level 1 data ingestion across all GCP deployments: alert policy design, SLO definition, incident management, and on-call operations * Eliminate manual data quality ...

Finning

Data Engineer II

Edmonton, AB · Hybrid

Data is deeply embedded in the product, engineering, analytics, and operational culture at Finning. Finning Canada is looking to hire a permanent, fulltime Data Engineer II based either in Surrey ...

Finning

Data Engineer II

Calgary, AB · Hybrid

Data is deeply embedded in the product, engineering, analytics, and operational culture at Finning. Finning Canada is looking to hire a permanent, fulltime Data Engineer II based either in Surrey ...

Lantern

Data Architect

Edmonton, AB · On-site

Provide strategic guidance on leveraging Microsoft Data Platform technologies (such as Fabric, Azure Synapse, Power BI, etc.) for data warehousing, data engineering, semantic modeling, analytics ...

Targeted Talent

Data Scientist

Calgary, AB · Remote

Our client is a fintech company based out of Vancouver You Have: * 3 - 5+ Years experience working in Data Engineering/Data Science utilizing R (purrr, tidyr, dplyr, tibble, & the tidyverse) * Strong ...

Targeted Talent

Data Scientist

Calgary, AB · Remote

Our client is a fintech company based out of Vancouver You Have: * 3 - 5+ Years experience working in Data Engineering/Data Science utilizing R (purrr, tidyr, dplyr, tibble, & the tidyverse) * Strong ...

Targeted Talent

Data Scientist

Edmonton, AB · Remote

Our client is a fintech company based out of Vancouver You Have: * 3 - 5+ Years experience working in Data Engineering/Data Science utilizing R (purrr, tidyr, dplyr, tibble, & the tidyverse) * Strong ...

Targeted Talent

Data Scientist

Edmonton, AB · Remote

Our client is a fintech company based out of Vancouver You Have: * 3 - 5+ Years experience working in Data Engineering/Data Science utilizing R (purrr, tidyr, dplyr, tibble, & the tidyverse) * Strong ...

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Data Engineering information

Is AI replacing data engineers?

AI is automating certain tasks within data engineering, such as data cleaning and pipeline management, but it does not replace the need for data engineers. Data engineers are essential for designing, building, and maintaining complex data systems, and their expertise in tools like SQL, Spark, and cloud platforms remains critical for managing data workflows and ensuring data quality.

What work does a data engineer do?

A data engineer designs, builds, and maintains data pipelines and infrastructure to collect, store, and process large volumes of data. They work with tools like SQL, Python, and cloud platforms to ensure data is accessible, reliable, and optimized for analysis by data scientists and analysts.

What are the typical daily responsibilities of a Data Engineer?

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 engineers make 500,000?

Senior data engineers with extensive experience, specialized skills in cloud platforms, and advanced knowledge of data architecture can earn salaries approaching or exceeding $500,000 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 is a Data Engineering job?

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.

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 require skills in SQL, cloud platforms, and data pipeline tools like Apache Spark or Kafka, making their expertise valuable across many industries. The role is expected to remain strong as organizations continue to prioritize data infrastructure and analytics capabilities.

What are the key skills and qualifications needed to thrive in the Data Engineering position, and why are they important?

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.

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:
Data Engineering jobs near you
Infographic showing various Data Engineering job openings in Alberta as of July 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, and 3% Contract. Highlights an 85% Physical, 2% Hybrid, and 13% Remote job distribution.

Senior Manager - Data Engineering

Takeaway

Calgary, AB • On-site, Remote

CA$120K - CA$160K/yr

Full-time

Posted 26 days ago

Job description

Ready for a challenge?
Then Just Eat Takeaway.com might be the place for you. We're a leading global online delivery platform, and our vision is to empower everyday convenience.
Whether it's a Friday-night feast, a post-gym poke bowl, or grabbing some groceries, our tech platform connects tens of millions of customers with hundreds of thousands of restaurant, grocery and convenience partners across the globe.


About this role
The Canadian Data & Analytics function is at an inflection point. As Skip invests to become an AI-first business, the reliable cross-cloud pipelines, trusted consumption layer and engineering discipline that underpin it sit with the Data Engineering team.

As Senior Manager, Data Engineering, you'll lead a team of data and analytics engineers, plus a contractor pod, building the platforms and consumption layer that power decisions, ML and customer experiences across Skip Canada.

You'll operate at the intersection of a global AWS streaming platform and a Canadian GCP analytical estate (BigQuery, dbt, Snowplow, Tableau), partnering with Global Data Engineering, local Product & Tech and the wider DNA team.

The team and platform are mid-transformation, so this is a build role - technical leadership and team-building in equal measure. You'll bring clarity to standards and priorities, grow the team's craft and represent Data Engineering to senior stakeholders, leading, delivering and caring.

Location: Winnipeg/Toronto Remote
Reporting to: Associate Director of Data & Insights


These are some of the key components to the position:

  • Own end-to-end reliability of the cross-cloud pipeline - batch and streaming architectures and external APIs through to GCP (BigQuery, Dataflow, dbt) and consumption.
  • 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 application databases and services, mapping the interactions critical to the warehouse.
  • Raise engineering standards across data and analytics engineering and own incident response for Tier-1 pipelines.
  • Lead, coach and grow data and analytics engineers plus a contractor pod - planning headcount, hiring and managing performance.
  • Represent Data Engineering to senior stakeholders and Global Data Engineering, translating technical trade-offs into business terms and helping the team succeed.

What will you bring to the team?

  • Hands-on command of streaming and batch platforms - Kafka/Confluent, lakehouse formats, Airflow - across a multi-cloud AWS and GCP estate.
  • Architecture and modelling mastery: led a Gold/semantic layer from scratch in a marketplace or federated org, with expert BigQuery, dbt and dimensional/medallion modelling, defending trade-offs.
  • Stood up an Analytics Engineering practice, coaching analysts into engineers on dbt modelling - incremental-vs-full-refresh trade-offs, quality gates and Slim CI for run-time/cost.
  • Sets engineering standards where they're missing - code review, CI/CD, testing, data contracts and governance.
  • A people leader who builds and develops teams, and a credible partner who explains trade-offs to stakeholders and pushes back constructively.
  • Thrives in ambiguity, a builder not a maintainer, honest and direct.
  • Nice to have: ML exposure (Vertex AI, SageMaker).

At JET, this is on the menu:
Our teams forge connections internally and work with some of the best-known brands on the planet, giving us truly international impact in a dynamic environment.


Fun, fast-paced and supportive, the JET culture is about movement, growth and about celebrating every aspect of our JETers. Thanks to them we stay one step ahead of the competition.

Inclusion, Diversity & Belonging
No matter who you are, what you look like, who you love, or where you are from, you can find your place at Just Eat Takeaway.com. We're committed to creating an inclusive culture, encouraging diversity of people and thinking, in which all employees feel they truly belong and can bring their most colourful selves to work every day.

What else is cooking?
Want to know more about our JETers, culture or company? Have a look at our career site where you can find people's stories, blogs, podcasts and more JET morsels.


Are you ready to take your seat? Apply now!

Compensation range: $120,000 - $160,000
Final compensation may vary based on skills, experience, and internal equity.

Employment Type: FULL_TIME

Apply