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Data Engineer Data Analyst Jobs in Ontario (NOW HIRING)

Ness Digital Engineering

Ability to analyse the construction of existing reports and reverse engineer table relationships etc * Strong knowledge of the Retail Domain and experience with various stages of data warehouse ...

Ci

Data Analyst

Toronto, ON

CA$55K - CA$95K/yr

Partner with Data Engineers to support the successful implementation of solutions. QUALIFICATION REQUIREMENTS: Experience * 2+ years of work experience in quantitative analysis. Education/Training

Tiger Analytics Inc.

Data Engineer

Toronto, ON · On-site

Tiger Analytics is a fast-growing advanced analytics consulting firm. Our consultants bring deep ... We are seeking an experienced Data Engineer to join our team, specifically focused on building ...

Konrad

Senior Data Analyst

Toronto, ON · Hybrid

CA$105K - CA$115K/yr

You work closely with consultants, data engineers, developers, designers and clients across multiple engagements. You own analytical problem-solving from discovery to delivery, mentor junior analysts ...

Morson Talent

25-108 Senior Data Engineer

Pickering, ON · Remote

$70 - $90/hr

Senior Data Engineer Resume Due Date: Wednesday, June 25, 2025 (5:00PM EST) Number of Vacancies: 2 ... Support Business Intelligence Analysts in modelling data for visualization and reporting, using ...

Financeit

Data Engineer

Toronto, ON

... analytics, reporting, and BI tools used across the business * Work closely with cross-functional ... to data engineering * Contribute to process improvements, documentation, and knowledge sharing ...

Financeit

Data Engineer

Toronto, ON · On-site

... analytics, reporting, and BI tools used across the business * Work closely with cross-functional ... to data engineering * Contribute to process improvements, documentation, and knowledge sharing ...

Sleep Country Canada

Data Systems Analyst

Brampton, ON · On-site

CA$75K - CA$95K/yr

Sleep Country/Dormez-vous? is seeking a Data Systems Analyst to support the development, validation ... Reporting to the Director, Data Engineering, this role works closely with business stakeholders and ...

Futuretek

Data Analyst

Toronto, ON · Hybrid

Bachelor's degree in Statistics, Maths, Engineering, Economics, or another quantitative field * 4-5+ years in similar analytical roles * Proficient in SQL and experience with complex data queries

State Street Global Advisors

GCS, Data Analyst

Toronto, ON · On-site

CA$90K - CA$157K/yr

Who we are looking for We are seeking a skilled Data Analyst to join our Fusion Analytics and Data Engineer Team, focusing on building out presentations and etl data pipelines to support our ...

ShyftLabs

Data Engineer

Toronto, ON · Hybrid

CA$100K - CA$140K/yr

Collaborate with data scientists, analysts, and engineers to enable advanced AI/ML workflows. * Monitor and troubleshoot Databricks clusters, jobs, and performance bottlenecks. * Automate workflows ...

University of Guelph

Data Analyst

Guelph, ON · On-site

Knowledge of in-depth programming and querying (e.g. used in the accessing of University databases ... Ability to work with complex sets of data and analyses and various data systems * Excellent ...

GEI Consultants

Data Engineer

Concord, ON

CA$90K - CA$150K/yr

Support and optimize data models underpinning Power BI dashboards and AI-enabled analytics. * Collaborate with AI Engineers to define data contracts and ensure pipeline outputs meet solution ...

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All JobsData Engineer Data Analyst JobsData Engineer Data Analyst Jobs in Ontario

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.

What are popular job titles related to Data Engineer Data Analyst jobs in Ontario? For Data Engineer Data Analyst jobs in Ontario, the most frequently searched job titles are:
What job categories do people searching Data Engineer Data Analyst jobs in Ontario look for? The top searched job categories for Data Engineer Data Analyst jobs in Ontario are:
What cities in Ontario are hiring for Data Engineer Data Analyst jobs? Cities in Ontario with the most Data Engineer Data Analyst job openings:
Data Engineer Data Analyst jobs near you
Infographic showing various Data Engineer Data Analyst job openings in Ontario as of August 2026, with employment types broken down into 75% Full Time, and 25% Contract. Highlights an 82% In-person, 7% Hybrid, and 11% Remote job distribution.

Data Analyst

Ness Digital Engineering

On-site

Full-time

Posted 11 days ago

Job description

Description

Why Ness
We know that people are our greatest asset. Our staff’s professionalism, innovation, teamwork, and dedication to excellence have helped us become one of the world’s leading technology companies. It is these qualities that are vital to our continued success. As a Ness employee, you will be working on products and platforms for some of the most innovative software companies in the world.
You’ll gain knowledge working alongside other highly skilled professionals that will help accelerate your career progression.
You’ll also benefit from an array of advantages like access to trainings and certifications, bonuses, and aids, socializing activities and attractive compensation.
  
Requirements and responsibilities
What you’ll do  
  • Working with the Project teams, business stakeholders, technical SMEs, , Data Insights on a growing portfolio of interactive dashboards across many product teams  
  • Create new datasets and sophisticated dashboards  
  • Understand the data and business processes across all applicaitons, all data domains 
  • Advocate best practises for development across our teams  
  
What you’ll bring
Must Have 
    • Expert in SQL, Hadoop, BigData, Hive, Nifi
    • Ability to analyse the construction of existing reports and reverse engineer table relationships etc 
    • Strong knowledge of the Retail Domain and experience with various stages of data warehouse projects, including data extraction, cleansing, aggregation, validation, transformation, and loading.
    • Exp in using DataStage components such as Sequential File, Join, Sort, Merge, Lookup, Transformer, Remove Duplicates, Copy, Filter, Funnel, Dataset, Change Data Capture, and Aggregator.
    • Strong at database commands (DDL and DML) and data warehousing implementations models.
    • Hands on exp with the Hadoop ecosystem, including HDFS, Hive, Sqoop, NiFi, and YARN.
    • Familiar with Mainframe ESP for job scheduling.
    • Understanding of branched development – dev, qa, prod etc  
    • Passionate about data and it’s potential  
    Desired:  
    • Experience of analyzing Lobs, data bases, writing scripts.  
    • Experience of connecting to additional sources such as Azure, MySql  
    • CI/CD experience  
    Education: 
    • Bachelor’s degree in Computer Science or equivalent. 
    • Candidates without Computer Science or Information Technology degree should have significant work experience. 
     
     
     
     
    Not checking every single requirement?
     
    If this role sounds good to you, even if you don’t meet every single bullet point in the job description, we encourage you to apply anyway. For most of the candidates that applied, we found a role that was a very good fit with their skills.
     
    Let’s meet and you may just be the right candidate for one of our roles.
     
    At Ness Digital Engineering we are willing to build a work culture that is based on diversification, inclusion, and authenticity. 

    Apply