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Data Engineer Data Analyst Jobs in Kitchener, ON

The Senior Business Data Engineer will work with data analysts and data scientists to help answer complex business enquires such as identifying new business opportunities, understanding our client ...

The Senior Business Data Engineer will work with data analysts and data scientists to help answer complex business enquires such as identifying new business opportunities, understanding our client ...

Knowledge of in-depth programming and querying (e.g. used in the accessing of University databases ... Ability to work with complex sets of data and analyses and various data systems * Excellent ...

Data Engineer

Guelph, 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 ...

Data Engineer

Kitchener, 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 ...

Collaborate with data engineers to design performance analysis reports spanning rider user-experience, driver user-experience, marketing, operating efficiency, and unit economics. Review the ...

Data Analyst (Transit)

Guelph, ON · Hybrid

CA$77K - CA$96K/yr

Position Overview Resumes are being accepted for the position of Data Analyst (Transit). Reporting to the Manager of Business Services, the successful candidate will aid departments in utilizing ...

Senior Data Analyst

Waterloo, ON · On-site

CA$80K - CA$95K/yr

The Senior Data Analyst will work with key business leaders to identify, develop and deliver relevant data, reports and dashboards to support day to day, historical and future operations. This role ...

The Senior Data Analyst will work with key business leaders to identify, develop and deliver relevant data, reports and dashboards to support day to day, historical and future operations. This role ...

Role Overview As a Data Analyst in our Business Intelligence & Analytics team, you will bridge the ... Familiarity with prompt engineering, LLM APIs, or framework development (e.g., LangChain, custom AI ...

Join a team that is transforming data and analytics at Sun Life Financial (SLF) Canada. Sun Life ... As a Senior Data Engineer, you will leverage our vast data and Big Data capabilities to ensure a ...

Join a team that is transforming data and analytics at Sun Life Financial (SLF) Canada. Sun Life ... As a Senior Data Engineer, you will leverage our vast data and Big Data capabilities to ensure a ...

We are looking for an experienced Senior Data Engineer for our client. This is a permanent position that is completely remote! Our client is a global enterprise company with a product that you've ...

We are looking for an experienced Senior Data Engineer for our client. This is a permanent position that is completely remote! Our client is a global enterprise company with a product that you've ...

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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 cities near Kitchener, ON are hiring for Data Engineer Data Analyst jobs? Cities near Kitchener, ON with the most Data Engineer Data Analyst job openings:
Infographic showing various Data Engineer Data Analyst job openings in Kitchener, ON as of August 2026, with employment types broken down into 72% Full Time, and 28% Contract. Highlights an 77% In-person, 9% Hybrid, and 14% Remote job distribution.

Senior Data Engineer

Sun Life Financial

Waterloo, ON • On-site

Full-time

Posted 6 days ago


Sun Life Assurance Company of Canada rating

8.6

Company rating: 8.6 out of 10

Based on 18 frontline employees who took The Breakroom Quiz

89th of 304 rated insurance


Job description

You are as unique as your background, experience and point of view. Here, you'll be encouraged, empowered and challenged to be your best self. You'll work with dynamic colleagues - experts in their fields - who are eager to share their knowledge with you. Your leaders will inspire and help you reach your potential and soar to new heights. Every day, you'll have new and exciting opportunities to make life brighter for our Clients - who are at the heart of everything we do.


At Sun Life, we're driven by our Purpose: helping our Clients achieve lifetime financial security and live healthier lives. Our values shape how we work: caring, authentic, bold, inspiring, and impactful.


When you join Sun Life, you'll work with passionate colleagues and empowering leaders who support your growth and celebrate your contributions, so you can make a meaningful difference in our Clients' lives.


Discover how you can make a difference in the lives of individuals, families and communities around the world.


Job Description:

The Client Experience Office (CXO) is an important pillar of Sun Life Canada's Data and Analytics growth and corporate strategy and as such, is seeking experienced data engineering individual with a proven track record working with data consumers to extract meaningful insights from enterprise data. This Senior Business data engineer will play an indispensable role in assembling the necessary data products that fuel myriads of analytical models used by our various business units across Canada.

Reporting to the Manager of Data Engineering, the Senior Business Data Engineer will be a key member of Data Enablement Team responsible for building enriched data products that provide deep insights about our Client, Advisor, Product, Transactions along with their intricate relationships. The Senior Business Data Engineer will work with data analysts and data scientists to help answer complex business enquires such as identifying new business opportunities, understanding our client behavior and optimizing areas of our sales cycles.

What will you do:

  • Design and engineer data models that represent our key business entities such as our Advisor, Client & Product
  • Ensure high level of data quality and data integrity are maintained across data sources for business data assets
  • Convert complex business and technical rules into logic for data flows and data pipelines
  • Obsessed with understanding our enterprise data and interpreting it in the best way possible to derive business value
  • Work with our Data Science teams to implement data products for various use cases
  • Collaborate with stakeholders and incorporate into solution design for various use case requirements
  • Standardize metadata into a common glossary along with the necessary documentation for data consumers
  • This is a senior individual contributor role bridging the requirements of Business consumers and data engineering practitioners to support the overall Business Data Strategy.
  • This role will be partnering closely with CXO business stakeholders, enterprise governance and risk partners, and CXO data practitioners

What do you need to succeed?

  • 3-5 years hands-on experience working on major Cloud technologies and programming languages for data processing and analytics
  • 3+ years experience with AWS and Snowflake platforms for building robust ETL pipelines, Catalog management, Data Quality and Governance implementation to keep data compliant and reliable.
  • 3+ years experience and proficiency in Python, Pyspark and SQL
  • Demonstrated Experience in cost and performance optimization of Spark and SQL jobs
  • 5 years hands-on experience with relational database systems, relational models, dimensional models, and analytical models
  • 3-5 years experience with engineering data products as input to various analytical models
  • 3-5 years building feedback loops between model deployment and its data - i.e. tune & tweak data products to achieve scale, optimization, etc.
  • Sound understanding of Data Management principles (data warehousing, data quality, master data management, etc.) and Data Governance principles. Sound understanding of data modelling and a passion for analytics
  • Proven ability to leverage knowledge of data engineering to extract, conform and integrate a variety of operational data sources into production-grade data products
  • Experience of popular data formats like Parquet and Iceberg
  • Experience in BI Tools like Tableau , Quicksight , Streamlit is a definite plus.
  • Experience working with very large datasets and familiarity with big data technologies
  • Excellent verbal and written communication skills; have executive presence and proven ability to partner with Data Scientists to articulate insights gleaned from the model and the underlying data

What will be nice to have

  • Understand and Embrace Agile Operating Model
  • Understanding of AI concepts and Machine learning and familiarity with AI services of AWS and Snowflake platforms
  • Knowledge of fundamental statistical models & techniques
  • Knowledge and experience working with DevOps technologies
  • Experience working in a large financial services organization
  • Undergraduate degree in Computer Science, Mathematics, Engineering, or equivalent
  • Graduate degree in business or quantitative science strongly preferred

What's in it for you:

  • We're honoured to be recognized as a 2026 Best Workplaces in Canada by Great Place to Work Canada.
  • We are thrilled to be recognized by Excellence Canada with their top-level certification, the Canada Order of Excellence for Mental Health at Work, for prioritizing employee well-being, fostering a positive work culture, and achieving excellence in mental health.
  • Wellness programs that support the three pillars of your health - mental, physical, and financial
  • The opportunity to move along a variety of career paths with amazing networking potential.
  • As a hybrid organization, you and your leader use business and Client need to choose where you work, at home or in the

Unique Requirements:

This role requires Reliability Status Clearance. In addition to a law enforcement inquiry and a credit check, as part of your application, the Government of Canada will ask if you lived or travelled outside of Canada for 6-consecutive months during the last 5 years, and you must account for all activities during this time. Important: Obtaining Reliability Status Clearance within a reasonable amount of time is a condition required to start employment for this role at Sun Life.

Must be able to satisfactorily complete applicable background checks prior to the start date and during employment, in accordance with Sun Life's policies and practices.


The Base Pay range is for the primary location for which the job is posted. It may vary depending on the work location of the successful candidate or other factors. In addition to Base Pay, eligible Sun Life employees participate in various incentive plans, payment under which is discretionary and subject to individual and company performance. Certain sales focused roles have sales incentive plans based on individual or group sales results.


Diversity and inclusion have always been at the core of our values at Sun Life. A diverse workforce with wide perspectives and creative ideas benefits our Clients, the communities where we operate and all of us as colleagues. We welcome applications from qualified individuals from all backgrounds.


Persons with disabilities who need accommodation in the application process, or those needing job postings in an alternative format, may e-mail a request to thebrightside@sunlife.com.


We are proud to be a hybrid organization that offers our employees the choice and flexibility to work from both the office and virtually based on the needs of the business, our Clients and you.


We may use artificial intelligence to support candidate sourcing, screening, interview scheduling.


We thank all applicants for showing an interest in this position. Only those selected for an interview will be contacted.


Salary Range:

80,000/80 000 - 128,000/128 000

Job Category:

Advanced Analytics

Posting End Date:

10/08/2026

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