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Manager 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 ...

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 ...

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 ... We are seeking a motivated and skilled Data Management Professional with hands-on experience in ...

TELUS

L3 Data Management (GCP)

Calgary, AB · On-site +1

We provide business intelligence, data assets, data products, business metrics and data Engineering ... We are seeking a motivated and skilled Data Management Professional with hands-on experience in ...

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All JobsManager Data Engineering JobsManager Data Engineering Jobs in Alberta

Manager Data Engineering information

What is the difference between Manager Data Engineering vs Data Engineer?

AspectManager Data EngineeringData Engineer
Required CredentialsBachelor's or Master's in CS, Data Science, or related; often leadership experienceBachelor's or higher in CS, IT, or related; technical certifications optional
Work EnvironmentTeam leadership, project management, strategic planningData pipeline development, coding, data modeling
Employer & Industry UsageTech companies, finance, healthcare, where data teams are commonData-focused roles across various industries

The main difference is that Manager Data Engineering oversees data teams and projects, focusing on strategy and leadership, while Data Engineers handle the technical implementation of data pipelines and infrastructure. Managers typically have more experience and leadership skills, whereas Data Engineers are more hands-on with coding and data architecture.

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

To thrive as a Manager Data Engineering, you need expertise in data architecture, advanced analytics, and leadership, typically supported by a degree in computer science or a related field. Familiarity with big data tools (like Hadoop, Spark), data warehousing systems, cloud platforms (AWS, Azure), and certifications such as AWS Certified Data Analytics are highly valued. Strong communication, problem-solving, and team management skills help drive project success and foster collaboration. These skills ensure effective data solutions, alignment with business goals, and the ability to lead and grow high-performing engineering teams.

What are Manager Data Engineering roles and responsibilities?

A Manager Data Engineering oversees teams that design, build, and maintain data infrastructure and pipelines for organizations. They are responsible for ensuring the efficient flow and storage of data, implementing best practices in data management, and collaborating with stakeholders to meet business data needs. Additionally, they mentor and guide data engineers, manage project timelines, and ensure data security and quality standards are met. Their role often involves strategic planning to enable data-driven decision making across the company.

How does a Manager of Data Engineering typically collaborate with data scientists and business stakeholders?

A Manager of Data Engineering often serves as a bridge between technical teams and business stakeholders. They work closely with data scientists to ensure that data pipelines and infrastructure meet analytical needs, while also translating business requirements into actionable engineering solutions. Regular coordination meetings, clear documentation, and cross-functional projects are common, enabling seamless collaboration and alignment on goals. This role requires strong communication skills and the ability to balance technical priorities with business objectives.
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 Manager Data Engineering jobs in Alberta? For Manager Data Engineering jobs in Alberta, the most frequently searched job titles are:
What job categories do people searching Manager Data Engineering jobs in Alberta look for? The top searched job categories for Manager Data Engineering jobs in Alberta are:
Manager Data Engineering jobs near you
Infographic showing various Manager Data Engineering job openings in Alberta as of June 2026, with employment types broken down into 1% As Needed, 94% Full Time, 2% Part Time, 1% Temporary, and 2% Contract. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution.

Senior Manager - Data Engineering

Takeaway

Calgary, AB • On-site, Remote

CA$120K - CA$160K/yr

Full-time

Posted 13 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

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