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Azure Bi Data Engineer Jobs in Ontario (NOW HIRING)

Common CENTS Solutions

BI Data Engineer

Markham, ON · On-site

CA$100K - CA$115K/yr

BI Data Engineer Full stack engineer for BI / Reporting solution Location: Markham, ON (Hybrid) Employment Type: Full-Time Department: Business Intelligence / Data Analytics Reporting To: Director ...

Paradise Valley Country Club

BI Data Engineer

Markham, ON

CA$100K - CA$115K/yr

BI Data Engineer Full stack engineer for BI / Reporting solution Location: Markham, ON (Hybrid) Employment Type: Full-Time Department: Business Intelligence / Data Analytics Reporting To: Director ...

Royal Bank of Canada

Staff Data Engineer

Toronto, ON

As Lead Data Engineer in Investor & Treasury Services Data Engineering team within Technology and ... Microsoft SQL Server, Azure SQL, Stored procedures * API : Node.JS, Apigee * Power BI & Analytics

GEI Consultants

Data Engineer

Kitchener, ON · On-site

CA$90K - CA$150K/yr

Support and optimize data models underpinning Power BI dashboards and AI-enabled analytics ... Experience with Azure data services, including Azure Data Factory, Azure Synapse Analytics, Azure ...

GEI Consultants

Data Engineer

Concord, ON · On-site

CA$90K - CA$150K/yr

Support and optimize data models underpinning Power BI dashboards and AI-enabled analytics ... Experience with Azure data services, including Azure Data Factory, Azure Synapse Analytics, Azure ...

GEI Consultants

Data Engineer

Markham, ON · On-site

CA$90K - CA$150K/yr

Support and optimize data models underpinning Power BI dashboards and AI-enabled analytics ... Experience with Azure data services, including Azure Data Factory, Azure Synapse Analytics, Azure ...

GEI Consultants

Data Engineer

Guelph, ON · On-site

CA$90K - CA$150K/yr

Support and optimize data models underpinning Power BI dashboards and AI-enabled analytics ... Experience with Azure data services, including Azure Data Factory, Azure Synapse Analytics, Azure ...

Targeted Talent

Senior Data Engineer

Waterloo, ON · Remote

We are looking for an experienced Senior Data Engineer for our client. This is a permanent position ... With your expertise in BI, Data warehousing and big data you'll contribute to the expanding ...

Targeted Talent

Senior Data Engineer

Kitchener, ON · Remote

We are looking for an experienced Senior Data Engineer for our client. This is a permanent position ... With your expertise in BI, Data warehousing and big data you'll contribute to the expanding ...

Td

Data Engineer III

Toronto, ON · On-site

CA$96K - CA$136K/yr

Certifications in FinOps, Azure, AWS, GCP, Databricks, Power BI, or data engineering are assets. Who We Are: TD is one of the world's leading global financial institutions and is the fifth largest ...

Targeted Talent

Senior Data Engineer

Waterloo, ON · Remote

We are looking for an experienced Senior Data Engineer for our client. This is a permanent position ... With your expertise in BI, Data warehousing and big data you'll contribute to the expanding ...

Targeted Talent

Senior Data Engineer

Kitchener, ON · Remote

We are looking for an experienced Senior Data Engineer for our client. This is a permanent position ... With your expertise in BI, Data warehousing and big data you'll contribute to the expanding ...

ShyftLabs

Data Engineer

Toronto, ON · Hybrid

CA$100K - CA$140K/yr

This role requires strong expertise in Apache Spark, SQL, Python, and cloud platforms (AWS/Azure ... Strong understanding of business intelligence and reporting tools (Power BI, Tableau, Looker)

Capco

Data Engineer

Toronto, ON · On-site +1

Azure Data Factory * Databricks * Power BI * Git * CI/CD * Cloud platforms (Azure, AWS, GCP) Ideal Candidate A hands-on Data Engineer with strong Python, Pandas, and NumPy expertise who can ...

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Azure Bi Data Engineer information

What is an Azure BI Data Engineer?

An Azure BI Data Engineer is a technology professional who designs, builds, and manages business intelligence (BI) solutions on Microsoft Azure. They are responsible for integrating, transforming, and consolidating data from various sources using Azure services like Azure Data Factory, Azure Synapse Analytics, and Power BI. Their work enables organizations to analyze large volumes of data efficiently and make data-driven decisions. Azure BI Data Engineers also ensure the security, scalability, and performance of data solutions in the cloud. They often collaborate with data scientists, analysts, and business stakeholders to deliver actionable insights.

What are the key skills and qualifications needed to thrive as an Azure BI Data Engineer?

To thrive as an Azure BI Data Engineer, you need strong expertise in data modeling, ETL processes, SQL, and a solid understanding of cloud data platforms, usually backed by a degree in computer science or a related field. Proficiency with Microsoft Azure services (such as Azure Data Factory, Synapse Analytics, and Power BI) and relevant certifications like Microsoft Certified: Azure Data Engineer Associate are commonly required. Analytical thinking, problem-solving abilities, and effective communication are crucial soft skills for translating business needs into technical solutions. These skills and qualifications are essential for efficiently designing, implementing, and managing scalable data solutions that drive business insights.

What are some common challenges Azure BI Data Engineers face when integrating data from multiple sources?

Azure BI Data Engineers often encounter challenges such as varying data formats, inconsistent data quality, and differing update frequencies when integrating data from multiple sources. Addressing these requires designing robust ETL processes in Azure Data Factory, ensuring data validation, and setting up effective error handling. Collaboration with data owners and business analysts is key to understanding source data and resolving discrepancies early in the pipeline. Additionally, managing data security and compliance across sources is crucial in maintaining organizational standards.

What is the difference between Azure Bi Data Engineer vs Power BI Developer?

AspectAzure Bi Data EngineerPower BI Developer
Primary FocusDesigning and implementing data pipelines, ETL processes, and data architecture on AzureCreating interactive reports and dashboards using Power BI
Required SkillsAzure Data Factory, SQL, Data Lake, Data Bricks, Azure SynapsePower BI, DAX, Power Query, data visualization
CertificationsAzure Data Engineer Associate, Azure FundamentalsMicrosoft Certified: Data Analyst Associate
Work EnvironmentData engineering teams, cloud infrastructure, data warehousesBusiness intelligence teams, data visualization projects

Azure Bi Data Engineers focus on building and managing data pipelines and infrastructure on Azure, while Power BI Developers specialize in creating visual reports and dashboards. Both roles often collaborate but serve different parts of the data ecosystem, with the former handling data architecture and the latter focusing on data presentation.

What cities in Ontario are hiring for Azure Bi Data Engineer jobs?

Cities in Ontario with the most Azure Bi Data Engineer job openings:

Infographic showing various Azure Bi Data Engineer job openings in Ontario as of August 2026, with employment types broken down into 1% As Needed, 76% Full Time, 20% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution.

BI Data Engineer

Markham, ON • On-site

Common CENTS Solutions
Traveler Accommodation • 11 - 50 employees
Learn more about Common CENTS Solutionsexternal

CA$100K - CA$115K/yr

Full-time

Re-posted 15 days ago

Key responsibilities

  • Build and optimize BI assets such as dashboards, reports, and semantic data models in AWS QuickSight.

  • Write, optimize, and troubleshoot complex SQL queries for data extraction, transformation, and performance tuning.

  • Contribute to data pipeline development, including data acquisition, wrangling, shaping, and validation for reporting purposes.

Job description

                                                                                    Job Description: 

BI Data Engineer

Full stack engineer for BI / Reporting solution

Location: Markham, ON (Hybrid)

Employment Type: Full-Time

Department: Business Intelligence / Data Analytics

Reporting To: Director, BI / Analytics

Seniority Level: Intermediate (2-5 years)

Compensation & Role Details:

Expected Salary Range: The expected base salary range for this role is between $100,000 - $115,000 CAD, depending on experience and qualifications

Role Type: New Role

AI Disclosure: AI may be used during the hiring process.

Role Overview

We are seeking a BI Data Engineer to design, build, and optimize BI assets - dashboards, reports, and semantic data models - primarily in AWS QuickSight on top of SQL-based datasets. This is a hands-on BI role that involves building data models, data pipelines and a web presentation layer. Your day is spent turning business ask into governed, performing dashboards and reports served through web application and build / maintain SQL models behind them.
Key Responsibilities

BI Solution Development

  • Build interactive QuickSight dashboards (parameters, controls, calculated fields).
  • Implement data visualizations that clearly communicate business insights.
  • Apply security and data-governance standards across BI assets.

Data Analysis & Modeling

  • Write and optimize complex SQL for extraction, transformation, aggregation and performance tuning.
  • Design semantic layers and curated datasets aligned to reporting needs.
  • Monitor and troubleshoot BI solutions for accuracy, performance, scale and efficiency.

Data Pipeline Engineering

  • Contribute to data acquisition, wrangling, shaping and validate data quality and lineage for reporting.
  • Orchestrate and manage data shaping jobs that run in Cloud to maintain a high quality data model

Web Application Upkeep & Maintenance

  • Application layer built with OAuth, Node.JS, Express.JS, MongoDB, SQL and .NET

Must-Have Qualifications

  • 2-5 years in a BI / reporting development role.
  • Strong SQL: complex joins, window functions, CTEs, aggregations, and query performance tuning.
  • Strong data wrangling, pipeline and basic web development skills. Experience with .NET, Java Script, Python and CSS.
  • Good understanding of data warehousing and dimensional modeling (star schemas, semantic layers).
  • Good AWS QuickSight experience. Knowledge of parameters, controls, calculated fields and dataset design.
  • Hands on AWS Cloud experience. Knowledge of AWS data services: S3, Lambda and IAM basics.
  • Hands on experience with Git and typical development workflows.
  • Comfortable with work needed to improve data quality & produce reports users can rely on
  • Good communication skills.

Nice-to-Have Skills

  • Maintaining web application, fixing defects and testing fixes
  • Experience with Google charts API
  • Building and maintaining API layer for data acquisition and data services
  • Automating data jobs that can run at scale
  • Experience delivering email digests, Narrative summaries that go beyond classic reports, dashboards, analytics
  • Knowledge of SPICE and row-level security
  • Experience using AI tools to accelerate development
  • Experience with Mongo DB
  • Experience with Docker and container deployments
  • Experience with Service Bus
  • Experience with pandas Data Frames
  • End to end experience going from data acquisition through presentation layer in a production setting
  • Data governance exposure (cataloging, lineage, definitions)
  • Continuous integration / Continuous Delivery (CI/CD) for BI assets.
  • Knowledge of BI solutions like Power BI, Looker
  • Knowledge of Data lake / Data warehouse solutions like Snowflake, DataBricks
  • Experience automating QA
  • Experience with build tools like Jenkins
  • Experience with Cloud Ops, Dev Ops and automation
  • Experience building prediction models
  • Building interactive chat type solutions over existing data assets
  • Best Visualization practices and UX for analytics

Key Competencies

  • Data Storytelling: Translates complex data into clear visuals and narratives.
  • Fast Learner: Curious and fast paced learner that can adapt to change;
  • Bias for Action: Ships iteratively, validate quickly and improve continuously.
  • Quality & Accuracy: High attention to detail; strong testing discipline. Security consciousness
  • Customer Focus: Collaborates with business partners to understand and deliver high-value insights.
  • Ownership & Scope Discipline: Proactive in monitoring and support; comfortable owning BI/reporting deliverables
                                                                                    Business Unit: Jonas Club                                                                                    Scheduled Weekly Hours:37.5                                                                                    Number of Openings Available: 1                                                                                    Worker Type: Regular More About Jonas Software:

Jonas Software is a leading provider of enterprise management software solutions, serving a wide range of vertical markets including hospitality, healthcare, construction, education, personal care, fitness, leisure, moving and legal services, to name a few. Within these markets, Jonas is comprised of over 65 distinct brands, each a respected leader in its domain.

Jonas' vision is to be the branded global leader across these verticals and to be recognized by customers and industry stakeholders as the trusted provider of "Software for Life." We are committed to technology, product innovation, quality, and exceptional customer service.

Jonas Software supports over 60,000 customers in more than 30 countries. We employ over 6,000 skilled professionals, including industry experts and technology specialists. Across our broader network, we support a global workforce of more than 30,000 employees.

Headquartered in Canada, Jonas Software has a global footprint with offices around the world. We're a 100% owned subsidiary of Constellation Software Inc., based in Toronto, publicly listed on the TSX (CSU.TO), and a member of the S&P/TSX 60 Index.

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