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Data Analytics Engineer Jobs in Manitoba (NOW HIRING)

Senior Manager - Data Engineering

Winnipeg, MB ยท 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 ...

The Data & Analytics team is moving from a legacy reporting model to a modern data platform ... About the Role: The Senior Data Engineer will design, build, and improve the data platform ...

Analyze legacy PHP applications with embedded SQL to understand system logic ... Reverse engineer reports to identify data sources, dependencies, and requirements * Develop SQL ...

Collaborate with Engineering, Product Management, Procurement, Customer Service, and Business ... Education in Data Science, Statistics, or Business Analytics. * Understanding of catalog data ...

Collaborate with Engineering, Product Management, Procurement, Customer Service, and Business ... Education in Data Science, Statistics, or Business Analytics. * Understanding of catalog data ...

We are looking for an experienced Senior QA Engineer for our client. This is a permanent position ... You'll have the opportunity to work on an amazing platform that combines Data Analytics, and ...

We are looking for an experienced Senior QA Engineer for our client. This is a permanent position ... You'll have the opportunity to work on an amazing platform that combines Data Analytics, and ...

Mining Process Engineer

Winnipeg, MB ยท Hybrid

CA$115K - CA$135K/yr

Experience with APC, data analytics, historians, and data visualisation tools (asset); * PCB design or microcontroller experience (asset). Required Qualifications: * Degree in Engineering or Computer ...

Bachelor's degree in Business, Supply Chain, Operations Management, Data Analytics, Engineering, or a related field. * Technical Skills: Strong analytical thinking with a data-driven approach ...

New

Perform data analysis of ATE and bench characterization results across PVT variations, including ATE-to-bench correlation studies and process capability analysis, with guidance from senior engineers

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

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

Collaborate with Operations, Engineering, Customer Programs, and other stakeholders to resolve data ... Diploma, degree, or formal training in Finance, Accounting, Business Administration, Data Analytics ...

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Showing results 1-20

Data Analytics Engineer information

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.

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.

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 are popular job titles related to Data Analytics Engineer jobs in Manitoba? For Data Analytics Engineer jobs in Manitoba, the most frequently searched job titles are:
What job categories do people searching Data Analytics Engineer jobs in Manitoba look for? The top searched job categories for Data Analytics Engineer jobs in Manitoba are:
Infographic showing various Data Analytics Engineer job openings in Manitoba as of August 2026, with employment types broken down into 100% Full Time. Highlights an 61% In-person, and 39% Remote job distribution.

Senior Manager - Data Engineering

Takeaway

Winnipeg, MB โ€ข On-site, Remote

CA$120K - CA$160K/yr

Full-time

Re-posted 2 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