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Senior Bi Developer Jobs in Ontario (NOW HIRING)

This Senior Data Engineer will be responsible for designing, building, and optimizing high ... Partner with Data Analytics and BI teams to support enterprise reporting and analytics needs

This role reports to a Sr Engineer, Low-Code, Supervisor, AI and Apps, or Manager, AI and Apps ... Strong working knowledge of Power BI for operational reporting and dashboards. Strong knowledge of ...

This role reports to a Sr Engineer, Low-Code, Supervisor, AI and Apps, or Manager, AI and Apps ... Strong working knowledge of Power BI for operational reporting and dashboards. Strong knowledge of ...

This role reports to a Sr Engineer, Low-Code, Supervisor, AI and Apps, or Manager, AI and Apps ... Strong working knowledge of Power BI for operational reporting and dashboards. Strong knowledge of ...

This role reports to a Sr Engineer, Low-Code, Supervisor, AI and Apps, or Manager, AI and Apps ... Strong working knowledge of Power BI for operational reporting and dashboards. Strong knowledge of ...

Senior Snowflake Developer (Python) Toronto, ON / Hybrid Long term Contract Experience 8-12 years ... Exposure to data visualization tools (Power BI, Tableau, Looker) #J-18808-Ljbffr

Operates as a senior technical lead responsible for the design, maintenance, and optimization of ... Partner with BI developers and business stakeholders to ensure data availability, accuracy, and ...

Senior Data Engineer Job Location: Hybrid, Toronto, Ontario, Canada Job Type: T4 Contract ... Proficiency with BI tools such as Tableau, Power BI, or Qlik . * Knowledge of CI/CD practices and ...

Power Platform Developer (Microsoft Power Platform, Model-Driven Apps, Power BI) Location: Hybrid ... Senior Power Platform Developer to support and enhance an existing Microsoft Power Platform ...

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 ...

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 ...

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 ...

Showing results 21-40

Senior Bi Developer information

What is a Senior BI Developer?

Senior BI (Business Intelligence) Developers are experienced IT professionals who design, develop, and maintain business intelligence solutions such as data warehouses, dashboards, and reports. They work closely with stakeholders to analyze data requirements, transform raw data into meaningful insights, and help organizations make data-driven decisions. Their role often includes using BI tools like Power BI, Tableau, or SQL, optimizing data models, and mentoring junior developers on best practices.

What is the difference between Senior Bi Developer vs Data Engineer?

AspectSenior Bi DeveloperData Engineer
CredentialsTypically requires a degree in Computer Science, Data Analytics, or related fields; certifications like Microsoft Certified Data Analyst are commonRequires a degree in Computer Science, Software Engineering, or related; certifications like Google Cloud Professional Data Engineer are valued
Work EnvironmentWorks primarily with BI tools, dashboards, and reporting platforms within business teamsFocuses on building data pipelines, ETL processes, and data infrastructure in cloud or on-premises environments
Industry UsageCommonly employed in finance, retail, healthcare, and other sectors for reporting and analyticsUsed across industries for data infrastructure, big data processing, and data warehousing

While both roles involve working with data, Senior Bi Developers focus on creating reports and dashboards for business insights, whereas Data Engineers build the systems that collect, store, and prepare data for analysis. Understanding these differences helps organizations assign the right talent for their data needs.

Are senior BI developers in demand?

Senior BI developers are in high demand due to the increasing reliance on data analytics and business intelligence tools like Power BI, Tableau, and SQL. Organizations seek experienced professionals to design, develop, and maintain data solutions, often requiring strong skills in data modeling, ETL processes, and cloud platforms. This demand is expected to grow as data-driven decision-making becomes more critical across industries.

What are the key skills and qualifications needed to thrive as a Senior BI Developer, and why are they important?

To thrive as a Senior BI Developer, you need strong expertise in data modeling, SQL, ETL processes, and analytics, often supported by a degree in computer science or a related field. Proficiency with BI tools like Power BI, Tableau, or SSRS, as well as experience with data warehousing solutions, is typically required. Analytical thinking, problem-solving, and effective communication are crucial soft skills for translating business needs into actionable insights. These skills and qualities are essential for delivering accurate, meaningful data solutions that drive strategic decision-making within organizations.

How much does a senior BI developer make in the US?

A senior BI developer in the US typically earns between $90,000 and $130,000 annually, depending on experience, location, and industry. They often have skills in data visualization tools like Tableau or Power BI and may hold certifications such as Microsoft Certified: Data Analyst Associate.

How does a Senior BI Developer typically collaborate with cross-functional teams to deliver business intelligence solutions?

A Senior BI Developer works closely with stakeholders such as data analysts, business managers, and IT teams to understand business requirements, translate them into technical specifications, and develop scalable BI solutions. They often facilitate requirements-gathering sessions, create data models, and design dashboards or reports that meet user needs. Effective collaboration and communication are essential, as the role involves aligning technical processes with business goals and ensuring data accuracy and usability across departments.
What are the most commonly searched types of Bi Developer jobs in Ontario? The most popular types of Bi Developer jobs in Ontario are:
What job categories do people searching Senior Bi Developer jobs in Ontario look for? The top searched job categories for Senior Bi Developer jobs in Ontario are:
What cities in Ontario are hiring for Senior Bi Developer jobs? Cities in Ontario with the most Senior Bi Developer job openings:
What are popular job titles related to Senior Bi Developer jobs in ON? For Senior Bi Developer jobs in ON, the most frequently searched job titles are:
Infographic showing various Senior Bi Developer job openings in Ontario as of August 2026, with employment types broken down into 86% Full Time, 11% Part Time, and 3% Contract. Highlights an 88% Physical, 4% Hybrid, and 8% Remote job distribution.

Full-time

Posted 10 days ago


Job description

This Senior Data Engineer will be responsible for designing, building, and optimizing high-performance data pipelines and platforms within a Databricks and AWS environment. The team is currently in the middle of a major Databricks transformation initiative, focused on modernizing their data architecture while continuing to support and enhance components of an existing AWS-based data stack. This initiative is expected to run through the end of the year, with multiple key deliverables still in progress. As a result, this role will be heavily involved in both net-new development within Databricks and the ongoing support and evolution of AWS data infrastructure, including pipelines that support enterprise BI and reporting systems. The Senior Data Engineer will partner closely with Data Analytics leadership, including a recently established Head of Data & Analytics, as well as cross-functional stakeholders across business intelligence, reporting, and machine learning teams. This role will help bridge the gap between data engineering and advanced analytics by enabling reliable, production-ready data pipelines that support ML workflows and data-driven decision-making. This is a high-impact, senior-level position requiring strong ownership, technical depth, and the ability to operate independently. The ideal candidate will be comfortable stepping into an environment with active initiatives underway and contributing immediately to both delivery and longer-term data platform improvements.

Key Responsibilities
  • Design, build, and maintain scalable data pipelines using Python, Spark, and Databricks
  • Support and enhance an existing AWS-based data stack, ensuring performance, scalability, and reliability
  • Contribute to a large Databricks initiative, helping drive development and implementation efforts
  • Partner with Data Analytics and BI teams to support enterprise reporting and analytics needs
  • Enable and support machine learning workflows, including data preparation and pipeline integration
  • Optimize data processing performance and ensure strong data quality practices
  • Collaborate with stakeholders to translate business needs into technical data solutions
  • Contribute to ongoing improvements in data architecture, tooling, and engineering best practices
REQUIRED SKILLS AND EXPERIENCE
  • 5+ years of experience in Data Engineering or a related field
  • Strong hands‑on experience with Python and Apache Spark
  • Proven experience working in AWS environments
  • Hands‑on experience with Databricks and building production‑level data pipelines
  • Experience supporting BI/reporting platforms and analytics use cases
  • Exposure to or experience supporting machine learning workflows or ML pipelines
  • Strong understanding of data architecture, ETL/ELT processes, and distributed systems
  • Ability to operate independently in a senior‑level capacity and drive deliverables
NICE TO HAVE SKILLS AND EXPERIENCE
  • Experience with AWS services such as Glue, Redshift, Lambda, or Step Functions
  • Familiarity with MLOps tools (e.g., SageMaker or similar platforms)
  • Experience working in large‑scale enterprise data environments
  • Exposure to data governance, data quality, or observability frameworks
  • Experience mentoring or guiding junior engineers
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