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Data Engineer Data Analyst Jobs in Winnipeg, MB (NOW HIRING)

Sapsol Technologies Inc

Data Analyst

Winnipeg, MB · On-site

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

HUB

Data Analyst

Winnipeg, MB

  • Retirement

We are looking for a highly skilled Data Analyst with strong, hands-on experience in Applied Epic and Power BI to join our team. This role is central to maintaining, structuring, and leveraging data ...

iQmetrix

Senior Data Engineer

Winnipeg, MB · On-site

  • Retirement

  • PTO

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 ...

Targeted Talent

Senior Data Engineer

Winnipeg, MB · Remote

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 ...

Targeted Talent

Junior Data Engineer

Winnipeg, MB

  • Medical

  • Dental

  • PTO

We are looking for an experienced Junior 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 ...

Targeted Talent

Junior Data Engineer

Winnipeg, MB

  • Medical

  • Dental

  • PTO

We are looking for an experienced Junior 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 ...

Targeted Talent

Senior Data Engineer

Winnipeg, MB · Remote

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 ...

Targeted Talent

Data Scientist

Winnipeg, MB · Remote

... 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 ...

Targeted Talent

Data Scientist

Winnipeg, MB · Remote

... 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 ...

Targeted Talent

2 - Senior Data Engineer

Winnipeg, MB

  • Medical

  • Dental

  • PTO

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 ...

Targeted Talent

2 - Senior Data Engineer

Winnipeg, MB

  • Medical

  • Dental

  • PTO

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 ...

Targeted Talent

Senior Data Scientist

Winnipeg, MB · Remote

... 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 ...

Targeted Talent

Senior Data Scientist

Winnipeg, MB · Remote

... 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 ...

Ellement Consulting Group

Pension Analyst

Winnipeg, MB · On-site

  • Retirement

We provide actuarial, administration, software programming, and consulting solutions for pension ... Quality control of year-end data input and verification of program output, including Annual Benefit ...

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All JobsData Engineer Data Analyst JobsData Engineer Data Analyst Jobs in Winnipeg, MB

Data Engineer Data Analyst information

How do data engineer data analysts typically collaborate with data scientists and business stakeholders?

Data Engineer Data Analysts play a crucial role in bridging the technical and analytical needs of an organization. They work closely with data scientists by preparing, cleaning, and structuring large datasets to enable advanced analytics and modeling. Additionally, they collaborate with business stakeholders to understand data requirements, translate business questions into technical solutions, and deliver actionable insights. Effective communication and teamwork are essential, as the role often involves facilitating data access, ensuring data quality, and aligning data projects with business objectives.

What are the key skills and qualifications needed to thrive as a data engineer data analyst, and why are they important?

To thrive as a Data Engineer/Data Analyst, you need strong analytical and statistical skills, proficiency in programming languages like Python or SQL, and typically a degree in computer science, statistics, or a related field. Familiarity with data warehousing tools, ETL processes, and experience with platforms like Hadoop, Spark, or Tableau is often required. Attention to detail, problem-solving ability, and effective communication are crucial soft skills for interpreting data and sharing insights with stakeholders. These competencies ensure accurate data management, insightful analysis, and support data-driven decision-making within organizations.

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

AspectData EngineerData Scientist
Required CredentialsBachelor's in CS, Engineering, or related; often certifications in cloud or data toolsBachelor's or higher in CS, Statistics, or related; often advanced degrees
Work EnvironmentBuilds data pipelines, manages databases, ensures data flowAnalyzes data, creates models, interprets insights
Employer & Industry UsageTech companies, finance, healthcare, e-commerceResearch firms, tech, finance, marketing

Data Engineers focus on developing and maintaining data infrastructure, while Data Scientists analyze data to generate insights. Both roles require strong technical skills, but Data Engineers are more involved in data architecture, whereas Data Scientists focus on modeling and analysis.

Can a data analyst work as a data engineer?

A data analyst can transition to a data engineer role by developing skills in data pipeline development, database management, and programming languages like Python or SQL. While data analysts focus on data interpretation and reporting, data engineers build and maintain data infrastructure, often requiring knowledge of tools such as Apache Spark, Hadoop, or cloud platforms. Gaining experience with these technologies and earning relevant certifications can facilitate the switch between roles.

What job categories do people searching Data Engineer Data Analyst jobs in Winnipeg, MB look for?

The top searched job categories for Data Engineer Data Analyst jobs in Winnipeg, MB are:

Data Engineer Data Analyst jobs near you
Infographic showing various Data Engineer Data Analyst job openings in Winnipeg, MB as of August 2026, with employment types broken down into 93% Full Time, and 7% Contract. Highlights an 89% In-person, 4% Hybrid, and 7% Remote job distribution.

Data Analyst

Sapsol Technologies Inc

Winnipeg, MB • On-site

Contractor

Re-posted 24 days ago

Job description

You will support a critical operational reporting and data initiative within a university environment. This role focuses on modernizing legacy reporting systems, improving data access, and enabling better decision-making across faculties and departments.

Responsibilities

  • Analyze legacy PHP applications with embedded SQL to understand system logic
  • Reverse engineer reports to identify data sources, dependencies, and requirements
  • Develop SQL queries and data extracts to support reporting needs
  • Redesign and migrate reports to new data sources (Data Warehouse/Data Lake)
  • Build and enhance PHP applications with supporting JavaScript
  • Document data structures, workflows, and reporting logic
  • Collaborate with stakeholders to validate business requirements
  • Perform data validation and testing to ensure accuracy and performance
  • Produce migration specifications and technical documentation
  • Support deployment and transition of reports to production

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