1

Data Engineer Data Analyst Jobs in Toronto, ON (NOW HIRING)

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 ...

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 ...

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 ...

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 ...

... 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 ...

... 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 ...

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 ...

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

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 ...

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 ...

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 ...

Showing results 21-40

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 Toronto, ON? For Data Engineer Data Analyst jobs in Toronto, ON, the most frequently searched job titles are:
What job categories do people searching Data Engineer Data Analyst jobs in Toronto, ON look for? The top searched job categories for Data Engineer Data Analyst jobs in Toronto, ON are:
What cities near Toronto, ON are hiring for Data Engineer Data Analyst jobs? Cities near Toronto, ON with the most Data Engineer Data Analyst job openings:
Infographic showing various Data Engineer Data Analyst job openings in Toronto, ON as of August 2026, with employment types broken down into 76% Full Time, and 24% Contract. Highlights an 82% In-person, 7% Hybrid, and 11% Remote job distribution.

Full-time

Re-posted 22 days ago


Job description

Tiger Analytics is a fast-growing advanced analytics consulting firm. Our consultants bring deep expertise in Data Science, Machine Learning and AI. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are looking for top-notch talent as we continue to build the best analytics global consulting team in the world.

We are seeking an experienced Data Engineer to join our team, specifically focused on building scalable Generative AI architectures within the AWS ecosystem. You will architect the data foundations that power LLMs and autonomous agents for our Fortune 500 partners.

Requirements

  • Experience: 8-12 years in Data Engineering with a heavy focus on the AWS Cloud stack.
  • AWS Expertise: Deep hands-on experience with Glue, Athena, EMR, and Redshift.
  • AI/ML Tools: Proficiency in LangChain or LlamaIndex integrated with AWS services to handle unstructured data (text, images, PDFs).
  • DevOps & IAC: Experience deploying infrastructure using AWS CDK or Terraform.
  • Core Skills: Advanced SQL, Python and PySpark skills tailored for distributed processing on AWS.

Benefits

Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, challenging, and entrepreneurial environment, with a high degree of individual responsibility.