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Data Analytics Engineer Jobs in Ontario (NOW HIRING)

Data Analyst Engineer

Dublin, ON ยท Hybrid

CA$75K - CA$120K/yr

We are seeking a skilled Data Engineer to join our dynamic Data & Analytics team, within the Platforms & Transformation group. The Data Engineer will use their technical, analytical and insurance ...

University degree in Business, Engineering, Commerce, Mathematics, or related quantitative discipline * 4+ years of experience in business intelligence, analytics, and/or data engineering

Senior Analytics Engineer

Toronto, ON ยท On-site

CA$100K - CA$150K/yr

The role You'll own Passage's data platform end to end. Not a greenfield project and not a legacy ... Executive KPIs, conversion funnels, cohort analytics, and marketing attribution across Google Ads ...

The Data Engineer works closely with analytics, operations, IT, data governance, and AI & Automation stakeholders to move data initiatives from design through production, while maintaining data ...

The Data Engineer works closely with analytics, operations, IT, data governance, and AI & Automation stakeholders to move data initiatives from design through production, while maintaining data ...

Showing results 21-40

Data Analytics Engineer information

See Ontario salary details

$65.5K

$117.1K

$197.5K

How much do data analytics engineer jobs pay per year?

As of Sep 1, 2026, the average yearly pay for data analytics engineer in Ontario is $117,079.00, according to ZipRecruiter salary data. Most workers in this role earn between $91,500.00 and $132,000.00 per year, depending on experience, location, and employer.

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 does a data analytics engineer do?

A data analytics engineer designs, builds, and maintains data pipelines and infrastructure to collect, process, and analyze large datasets. They use tools like SQL, Python, and cloud platforms to enable data-driven decision-making and often collaborate with data scientists and business teams to develop insights and reports.

What are the most commonly searched types of Data Analytics Engineer jobs in Ontario?

The most popular types of Data Analytics Engineer jobs in Ontario are:

What are popular job titles related to Data Analytics Engineer jobs in Ontario?

For Data Analytics Engineer jobs in Ontario, the most frequently searched job titles are:

Infographic showing various Data Analytics Engineer job openings in Ontario as of August 2026, with employment types broken down into 100% Full Time. Highlights an 92% In-person, and 8% Hybrid job distribution, with an average salary of $117,079 per year, or $56.3 per hour.

Data Analyst Engineer

AXIS Capital

Dublin, ON โ€ข Hybrid

CA$75K - CA$120K/yr

Full-time

Medical, Retirement, PTO

Posted 11 days ago


Job description

This is your opportunity to join AXIS Capital - a trusted global provider of specialty lines insurance and reinsurance.ย  We stand apart for our outstanding client service, intelligent risk taking and superior risk adjusted returns for our shareholders. We also proudly maintain an entrepreneurial, disciplined and ethical corporate culture.ย  As a member of AXIS, you join a team that is among the best in the industry.

At AXIS, we believe that we are only as strong as our people. We strive to create an inclusive and welcoming culture where employees of all backgrounds and from all walks of life feel comfortable and empowered to be themselves. This means that we bring our whole selves to work.

All qualified applicants will receive consideration for employment without regard to any protected characteristic, including age, color, disability, ethnicity, gender identity, marital status, national origin, pregnancy, race, religion, sex, sexual orientation, veteran status, or any basis prohibited by the laws that govern its operations.

How does this role contribute to our collective success?
We are seeking a skilled Data Engineer to join our dynamic Data & Analytics team, within the Platforms & Transformation group. The Data Engineer will use their technical, analytical and insurance expertise while working as part of project teams to deliver the benefits to AXIS. This is an excellent opportunity to work within great teams across the business on complex, challenging and rewarding projects and initiatives to build towards the success of AXIS.
What will you do in this role?
Data Analysis & Modelling:

  • Work with the business teams, including senior leaders, to define the data products and use cases along with their data lineage, critical data elements, data glossaries and data quality rules.

  • Work with the Data Architecture team to enable the design of best-in-class current state and future state data flow diagrams

  • Partner with the Data Insights and AI & Innovation teams to design the outputs and workflows for Use Cases and Data Products.

  • Use your industry experience to define the metrics required for projects and solutions.

  • Lead the QA testing of data products and supporting the business teams during UAT.

  • Support the future phases of data products you have delivered in projects once live where you are considered a subject matter expert and have a relationship with the business teams.

Data Engineering:

  • Run simple and complex queries to understand existing data structures and relationships, data quality gaps and metric formulas to enable accurate documentation of the current state solutions.

  • Use your advanced Excel skills to reverse engineer complex workbooks with macros and layered formulas to enable modular redesign in our modern data architecture.

  • Build and execute test models against both on-premises SQL Server and Azure Databricks databases.

  • Work closely with the development teams to ensure your data product templates are clearly defined to the specifications required by the application delivery leads.

  • You may also be required to take on additional duties, responsibilities and activities appropriate to the nature of this role.

About You:
We encourage you to bring your own experience and expertise to the table, so while there are some qualifications and experiences, we need you to have, we are open to discussing how your individual knowledge might lend itself to fulfilling this role and help us achieve our goals.
What you need to have:

  • Bachelor's degree in computer science, Information Technology, or a related technical field (or equivalent work experience).

  • 4+ years of experience as a Data Engineer or in a similar data-focused role.

  • Very strong SQL and Excel experience

  • Design experience with star schemas and delta concepts

  • Experience in data modelling in Excel having worked within Data Governance and Data Quality frameworks

  • Strong problem-solving skills with a proactive approach to understanding data quality issues and challenges

  • Experience with large complex projects delivering data products and use cases

  • Excellent verbal and written communication skills.

  • Ability to work effectively in a collaborative team environment.

  • Ability to time manage and work across different priorities.

What we prefer you to have:

  • Insurance industry experience.

  • Microsoft SQL Server and Azure Databricks experience

  • Ability to read programming languages

  • Knowledge of Insurance KPIs and metrics and processing within Underwriting, Claims and Pricing

  • Experience taking a key role on Data & Analytics projects

Role Factors:
In this role, you will typically be required to:
This position is a hybrid role and will require mandatory in office presence 3 days per week.
What we offer:
For this position, we currently expect to offer a base salary in the range of $75,000 - $120,000 CAD (Nova Scotia). Your salary offer will be based on an assessment of a variety of factors including your specific experience and work location.
You will be eligible for a comprehensive and competitive benefits package which includes medical plans for you and your family, health and wellness programs, retirement plans, tuition reimbursement, paid annual leave, and much more.

This posting is for an existing vacancy.