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Data Bi Engineer Jobs in Kitchener, ON (NOW HIRING)

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. * Collaborate with AI Engineers to define data contracts and ensure pipeline outputs meet solution ...

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. * Collaborate with AI Engineers to define data contracts and ensure pipeline outputs meet solution ...

Manulife

Data Engineer

Waterloo, ON · Hybrid

CA$86K - CA$136K/yr

Proficiency in using reporting tools like Power BI and Cognos for data visualization and reporting. * Solid understanding of data architecture and database management systems. * Strong programming ...

Sun Life Financial

Data Engineer

Wellesley, ON

This role involves the support of our data organization. The role will cover ETL support , Report ... Some exposure to BI reporting tools like SSRS, Logi, Crystal reports is a plus * Knowledge in SQL ...

Faire

Data Engineer - Analytics Platform

Kitchener, ON

CA$129K - CA$178K/yr

BI (business intelligence) tooling and integrations * Productivity acceleration tooling for ... An engineer with data and analytics experience to work alongside our highly talented team, develop ...

Sun Life Financial

Data Engineer

Wellesley, ON · On-site

This role involves the support of our data organization. The role will cover ETL support , Report ... Some exposure to BI reporting tools like SSRS, Logi, Crystal reports is a plus * Knowledge in SQL ...

Actalent

Senior Data Engineer/Analyst

Waterloo, ON

Design executive-ready dashboards and reports using Power BI, Tableau, or similar visualization ... Strong Python programming skills for data analysis, modeling, and pipeline development. * 5+ years ...

Alpaca

Senior Data Engineer

Waterloo, ON · On-site +1

At Alpaca, data engineering encompasses financial transactions, customer data, API logs, system ... This includes batch/stream ingestion, transformation, and consumption layers for BI, internal use ...

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 ...

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 ...

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 ...

BDO Canada

Senior MS Fabric Engineer

Kitchener, ON · Hybrid

CA$84K - CA$128K/yr

... engineering and Power BI capabilities. This is a foundational role as we implement our first data ... Model data for usability in Power BI datasets and semantic models * Work with stakeholders to ...

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All JobsData Bi Engineer JobsData Bi Engineer Jobs in Kitchener, ON

Data Bi Engineer information

Will AI replace data engineer?

AI is unlikely to fully replace data engineers, as their role involves designing, building, and maintaining data pipelines, which require complex problem-solving and domain expertise. Instead, AI tools can automate routine tasks, allowing data engineers to focus on architecture, data quality, and strategic analysis. Skills in programming, cloud platforms, and data management remain essential for the role.

What are Data BI Engineers?

Data BI (Business Intelligence) Engineers are professionals who design, build, and maintain systems that transform raw data into meaningful business insights. They develop data pipelines, integrate various data sources, and create reports or dashboards to support decision-making processes. Their work ensures that companies have accurate, timely, and actionable information to drive strategy and operations. Data BI Engineers typically work closely with data analysts, data scientists, and business stakeholders.

What is the difference between Data Bi Engineer vs Data Analyst?

AspectData Bi EngineerData Analyst
Primary FocusBuilding data pipelines, data warehousing, and integrating data systemsAnalyzing data to generate reports and insights
Skills & ToolsSQL, ETL processes, data modeling, cloud platformsExcel, SQL, visualization tools like Tableau or Power BI
Work EnvironmentData engineering teams, IT departments, cloud environmentsBusiness units, analytics teams, management
CredentialsData engineering certifications, SQL, cloud certificationsData analysis certifications, SQL, visualization skills

While both roles work with data, Data Bi Engineers focus on building and maintaining data infrastructure, whereas Data Analysts interpret data to provide actionable insights. Understanding these differences helps organizations assign the right responsibilities and professionals for their data needs.

How does a Data BI Engineer typically collaborate with business stakeholders and data analysts?

A Data BI Engineer frequently works with business stakeholders and data analysts to understand data requirements, translate business needs into technical specifications, and ensure data solutions align with organizational goals. This role often involves participating in meetings to gather requirements, sharing progress updates, and iterating on dashboards or data pipelines based on feedback. Effective communication is key, as Data BI Engineers must bridge the gap between technical data structures and actionable business insights. Regular collaboration helps ensure that the data solutions provided are both technically sound and valuable for decision-making.

What is a BI data engineer?

A BI data engineer designs, builds, and maintains data pipelines and systems to support business intelligence and analytics. They work with tools like SQL, ETL processes, and data warehouses to ensure data is accurate, accessible, and ready for analysis by data analysts and scientists.

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

To thrive as a Data BI Engineer, you need strong skills in data modeling, SQL, ETL processes, and a background in computer science or a related field. Familiarity with BI tools such as Power BI, Tableau, or Looker, as well as experience with data warehouses and cloud platforms like AWS or Azure, is typically required. Critical thinking, problem-solving, and effective communication are crucial soft skills for translating data insights into actionable business recommendations. These skills and qualities are essential for building reliable data solutions that empower organizations to make informed, data-driven decisions.

What engineers make $500,000?

Senior data engineers, especially those with extensive experience, advanced skills in cloud platforms, and expertise in big data tools, can earn $500,000 or more annually. High compensation is often associated with leadership roles, specialized expertise, or working in high-demand industries such as finance or technology firms.

What is the salary of a BI engineer in the US?

The average salary of a Business Intelligence (BI) Engineer in the US ranges from $80,000 to $130,000 annually, depending on experience, location, and skills. Senior BI engineers with expertise in tools like Tableau, Power BI, or SQL can earn higher salaries, often exceeding $140,000. Certifications and proficiency in data modeling and ETL processes can also influence compensation.
What are popular job titles related to Data Bi Engineer jobs in Kitchener, ON? For Data Bi Engineer jobs in Kitchener, ON, the most frequently searched job titles are:
What cities near Kitchener, ON are hiring for Data Bi Engineer jobs? Cities near Kitchener, ON with the most Data Bi Engineer job openings:
Data Bi Engineer jobs near you
Infographic showing various Data Bi Engineer job openings in Kitchener, ON as of June 2026, with employment types broken down into 100% Full Time. Highlights an 66% In-person, and 34% Hybrid job distribution.
Data Engineer

Data Engineer

GEI Consultants

Guelph, ON • On-site

CA$90K - CA$150K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 8 days ago

Job description

Description

Your role at GEI. 
 
The Data Engineer is responsible for designing, building, and maintaining the data pipelines and integrations that power GEI’s AI solutions and digital initiatives. This role focuses on ensuring enterprise data is accessible, reliable, and governed so that AI capabilities can be deployed and scaled with confidence.
 
The Data Engineer plays a hands-on role by preparing and integrating the data foundations that AI solutions depend on. This includes building ingestion pipelines, managing data stores, implementing quality and governance controls, and supporting retrieval patterns such as RAG. This role works closely with AI Engineers, solution architects, and platform teams to ensure data infrastructure is production-ready, secure, and aligned with GEI standards.
 
Essential Responsibilities & Duties 
  • Design, build, and maintain data pipelines that ingest, transform, and deliver enterprise data to AI solutions and business applications.
  • Develop and manage integrations across enterprise data sources using APIs, Graph connectors, event-driven architectures, and batch/streaming patterns.
  • Build and maintain data stores and indexing infrastructure that support retrieval-augmented generation (RAG) and other AI consumption patterns.
  • Implement data quality, validation, and lineage controls to ensure accuracy and trustworthiness of data feeding AI workflows.
  • 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 requirements for schema, latency, and freshness.
  • Instrument data pipelines for monitoring, alerting, cost control, and performance optimization.
  • Implement data governance and security controls including access management, encryption, and compliance with organizational data policies.
  • Identify data-related risks and support mitigation strategies in collaboration with architecture and platform teams. 
Minimum Qualifications 
  • 4+ years of data engineering experience, with demonstrated ability to build and operate production data pipelines.
  • Proficiency in Python and SQL; experience with PySpark or Spark is strongly preferred.
  • Experience with Azure data services, including Azure Data Factory, Azure Synapse Analytics, Azure Data Lake Storage, and Azure SQL.
  • Familiarity with Azure AI Search, Cosmos DB, or similar services used to support AI retrieval and storage patterns.
  • Experience building and managing ETL/ELT pipelines with structured, semi-structured, and unstructured data sources.
  • Knowledge of data modeling, schema design, and indexing strategies for both analytical and AI workloads.
  • Familiarity with infrastructure-as-code and CI/CD practices for data pipeline deployment (e.g., Terraform, Azure DevOps).
  • Knowledge of data governance principles, including data cataloging, lineage, access control, and privacy requirements.
  • Knowledge of security best practices for data solutions, including encryption at rest and in transit, role-based access control, and private networking.
  • Experience with Databricks, including Delta Lake and Unity Catalog, is a plus.
  • Prior experience in professional services, engineering, or construction environments is a plus.
  • Azure or Databricks certifications (e.g., Azure Data Engineer Associate, Azure Solutions Architect Expert, Databricks Data Engineer Professional) are a plus. 
We are GEI. 
 
Some of the world’s most pressing problems – from climate change to sustainable development, to critical infrastructure and the future of our energy supply – need our brightest and diverse minds working together to create safer, more resilient communities for tomorrow.  
 
We are technical experts, collaborators, and entrepreneurs who draw from diverse backgrounds to solve our clients’ most complex challenges.  
 
With several offices across North America, we offer a range of engineering, science, and technical consulting services. Our range of expertise, project types, and culture make us the choice for top talent in the AEC industry. See all our office locations here.
 
Employee-owned. Employee-focused.  
 
As an employee-owned company, our employees support our flat leadership structure, have a say in how our business operates and benefit from our financial success. We are committed to employee growth with career development opportunities, competitive total rewards, a well-being program, flexible work arrangements and more.  Our company culture is driven by our 4 Cs – we are Client-Centered, Curious, Collaborative, and Community Minded – which support our focus on sustainability, safety, diversity, equity and inclusion. Get to know us better by visiting GEI’s career site here.
 
GEI’s Total Rewards Package Includes 
  • Market-Competitive Compensation, including Eligibility for an Annual Performance Bonus
  • Pay Range For This Position: $90,000.00 – $150,000.00/year
  • Comprehensive Benefits Program, including Medical, Dental, Vision, Life, Disability and More
  • Well-Being Program and Paid Parental Leave
  • Commuter Benefits
  • Hybrid Work Schedules and Cell Phone Stipends
  • GEI University (GEIU) with Continuing Education Assistance and Tuition Reimbursement
  • Connecting Conversation Program with a Focus on Professional Development and Opportunities for Advancement
  • Support and Financial Rewards for Publication Awards, Professional Dues, and Professional Licenses
  • Paid Holidays and Generous Paid Time Off Program
  • Rewards and Recognition
  • GEI-Funded Profit Sharing and 401(k)
  • Opportunity to be an Owner and Shareholder (Learn more here)
  • A Vibrant Culture that is Focused on Partnership, Sustainability, Giving Back to Our Communities and Diversity, Equity and Inclusion
  • And More…
PHYSICAL REQUIREMENTS 
WORK ENVIRONMENT 
  
  
  
Functional Demands:    
 
 
 
 
Sedentary
x 
Light
 
Medium
Other
 
 
Activity Level Throughout Workday (check one per row) 
Physical Activity Requirements
Occasional
(0-35% of day)
Frequent
(33-66% of day)
Continuous
(67-100% of day)
Not Applicable
Sitting
 
 
x 
 
Standing
 
x 
 
 
Walking
x 
 
 
 
Climbing
 
 
 
x 
Lifting (floor to waist level) (in pounds)
x 
 
 
 
Lifting (waist level and above) (in pounds)
x 
 
 
 
Carrying objects
x 
 
 
 
Push/pull
x 
 
 
 
Twisting
x 
 
 
 
Bending
x 
 
 
 
Reaching forward
x 
 
 
 
Reaching overhead
x 
 
 
 
Squat/kneel/crawl
x 
 
 
 
Wrist position deviation
 
x 
 
 
Pinching/fine motor skills
x 
 
 
 
Keyboard use/repetitive motion
 
 
x 
 
Taste or smell (taste=never)
 
 
 
x 
Talk or hear
 
 
x 
 
Accurate 20/40 
Very Accurate 20/20 
Not Applicable
Near Vision
 
x 
Far Vision
 
x 

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