4,632 Data Professionals jobs in Canada

As a market leader, Manulife / John Hancock is dedicated to delivering an exceptional experience to our customers and end users. Technology is the most important enabler in our ability to provide that experience and generate business.
We are seeking a highly skilled and experienced Senior Data Engineer to join the Canada Data Office here at Manulife!
The ideal candidate will be leading a team of engineers responsible for the building, maintenance, improvements, and support of new and existing Azure data pipelines for various analytical use cases.
Collaboration with multi-functional teams and understanding data and using it to serve our businesses and operations whilst ensuring alignment to Manulife's IT security and risk guidelines is essential to delivering high quality, scalable software solutions.
Are you a self-starter who loves technical challenges and looking for your next step as an Engineering Leader? Are you passionate about building high-quality, user-friendly solutions? If so, then we want to hear from you!
**Position Responsibilities:**
+ Design, develop, and manage data pipelines that facilitate the detailed extraction, transformation, and loading of data from diverse sources.
+ Automate infrastructure provisioning and deployment using tools such as Terraform.
+ Collaborate with Architecture, security, and risk teams to implement the latest guidelines and Azure standard methodologies.
+ Collaborate with business collaborators to suggest data solutions that align with business goals and improve decision-making processes
+ Demonstrate a solid understanding of data privacy and compliance regulations and best-practices
**Required Qualifications:**
+ Bachelor's degree or equivalent experience in computer/IT or data-related fields is required, with a Master's degree being a plus.
+ 6+ years of previous data engineering experience with Azure-related data technologies.
+ Solid understanding of Azure infrastructure, including subscriptions, resource groups, resources, access control with RBAC (role-based access control), integrations with Azure AD, and Azure security principles (user group, service principal, managed identity), network concepts (VNet, Subnet, NSG rules, private endpoints), password/credential/key management, and data protection.
+ Strong hands-on knowledge of Azure Databricks, ADF, ADLS, Synapse Serverless/dedicated/spark pools, Python, PySpark, and T-SQL, along with experience crafting and developing scripts for ETL processes and automation in Azure Data Factory and Azure Databricks.
+ High proficiency in GIT/Jenkins/dev ops processes to maintain and resolve issues with data pipelines in production.
**Preferred Qualifications:**
+ Knowledge of implementing Azure technologies and networking via Terraform, along with the ability to fix issues with Azure infrastructure in production.
+ Experience with data modelling, data mart, data lakehouse architecture, SCD, data mesh, and delta lake overall.
**When you join our team:**
+ We'll empower you to learn and grow the career you want.
+ We'll recognize and support you in a flexible environment where well-being and inclusion are more than just words.
+ As part of our distributed team, we'll support you in crafting the future you want to see!
**Acerca de Manulife y John Hancock**
Manulife Financial Corporation es un importante proveedor internacional de servicios financieros que ayuda a las personas a tomar decisiones de una manera más fácil y a vivir mejor. Para obtener más información acerca de nosotros, visite .
**Manulife es un empleador que ofrece igualdad de oportunidades**
En Manulife/John Hancock, valoramos nuestra diversidad. Nos esforzamos por atraer, formar y retener una fuerza laboral tan diversa como los clientes a los que prestamos servicios, y para fomentar un entorno laboral inclusivo en el que se aprovechen las fortalezas de las culturas y las personas. Estamos comprometidos con la equidad en las contrataciones, la retención de talento, el ascenso y la remuneración, y administramos todas nuestras prácticas y programas sin discriminación por motivos de raza, ascendencia, lugar de origen, color, origen étnico, ciudadanía, religión o creencias religiosas, credo, sexo (incluyendo el embarazo y las afecciones relacionadas con este), orientación sexual, características genéticas, condición de veterano, identidad de género, expresión de género, edad, estado civil, estatus familiar, discapacidad, o cualquier otro aspecto protegido por la ley vigente.
Nuestra prioridad es eliminar las barreras para garantizar la igualdad de acceso al empleo. Un representante de Recursos Humanos trabajará con los solicitantes que requieran una adaptación razonable durante el proceso de solicitud. Toda la información que se haya compartido durante el proceso de solicitud de adaptación se almacenará y utilizará de manera congruente con las leyes y las políticas de Manulife/John Hancock correspondientes. Para solicitar una adaptación razonable en el proceso de solicitud, envíenos un mensaje a .
**Referenced Salary Location**
Toronto, Ontario
**Modalidades de Trabajo**
Híbrido
**Salary range is expected to be between**
$94,220.00 CAD - $174,980.00 CAD
Si se está postulando para este puesto fuera de la ubicación principal, póngase en contacto con para conocer el rango salarial de su ubicación. El salario real variará según las condiciones locales del mercado, la geografía y los factores relacionados con el trabajo pertinentes, como conocimiento, habilidades, calificaciones, experiencia y educación/capacitación. Los empleados también tienen la oportunidad de participar en programas de incentivos y obtener una compensación de incentivos vinculada al desempeño comercial e individual.
Manulife ofrece a los empleados aptos una amplia variedad de beneficios personalizables, entre ellos, beneficios de salud, odontológicos, de salud mental, oftalmológicos, por discapacidad a corto y a largo plazo, cobertura de seguro de vida y por muerte accidental y desmembramiento, adopción/subrogación y bienestar, y planes de asistencia al empleado/familiar. También ofrecemos a los empleados admisibles varios planes de ahorro para la jubilación (incluidos planes de pensiones y un plan mundial de propiedad de acciones con contribuciones equivalentes del empleador) y recursos de asesoramiento y educación financiera. Nuestro generoso programa de tiempo libre remunerado en Canadá incluye feriados, vacaciones, días personales y días por enfermedad, y ofrecemos la gama completa de ausencia laboral reglamentaria. Si se está postulando para este puesto en los EE. UU., póngase en contacto con para obtener más información sobre las disposiciones relativas al tiempo libre remunerado específicas de EE. UU.

At TTI, people come for the opportunity and stay for the culture!
**Job Description:**
**Data Engineer**
**Techtronic Industries Inc. | Milwaukee®, RYOBI®, Hoover®**
Full-Time | Permanent | Toronto HQ (Canada ) | P2
**About TTI Canada**
Are you ready to lead the way in shaping an empowering work environment with a global leader in power tools, outdoor equipment, and floorcare products? At TTI, we are known for our innovative products, world-class brands, and an unrelenting commitment to operational excellence. With iconic brands like **Milwaukee®, RYOBI®, and Hoover®** , we're not just about delivering outstanding performance but also about creating exceptional development for our people. If you're passionate about building your career in a dynamic, fast-paced environment, we want to hear from you! At TTI, culture drives performance, and it's at the heart of everything we do. We are fast, innovative, and constantly evolving but above all, we're a team that celebrates success together. We reward creative thinking and encourage your self development. Join us in driving a culture that supports sustainability, growth, and leadership.
**Location:** Toronto HQ (3381 Steeles Ave E)
**Position Description**
The Data Engineer is responsible for designing, building, and maintaining scalable data pipelines and infrastructure that enable TTI Canada to leverage data for analytics, reporting, and decision-making.
This individual will ensure data is accurate, reliable, and efficiently accessible by developing robust ETL/ELT processes, integrating diverse data sources, and supporting BI and analytics teams with clean and well-structured data.
The successful candidate must demonstrate strong technical expertise, problem-solving skills, and a collaborative mindset, while being eager to learn and adapt to emerging cloud and data technologies.
**What You Will Do**
The Data Engineer will lead the delivery of scalable and high-impact data infrastructure solutions from concept to deployment.
In this position, the Data Engineer will:
+ Design, develop, and maintain efficient data pipelines to support analytics and BI needs.
+ Ingest and integrate data from multiple sources, including on-premises SQL Server, cloud platforms, APIs, and flat files.
+ Implement data transformation logic to clean, enrich, and prepare data for reporting and advanced analytics.
+ Collaborate with Data Analysts, BI Developers, Data Scientists, and business stakeholders to understand requirements and translate them into technical solutions.
+ Ensure data integrity, consistency, and accuracy through validation, monitoring, and governance practices.
+ Optimize ETL/ELT processes for performance, scalability, and cost-effectiveness.
+ Work with cloud-based data platforms (e.g., Azure, Snowflake, Databricks) to modernize TTI Canada's data ecosystem.
+ Support the development of a centralized data lake/data warehouse architecture.
+ Implement best practices for data security, access control, and compliance.
+ Monitor pipelines and troubleshoot ingestion or transformation failures.
+ Create and maintain technical documentation for data pipelines, workflows, and architectures.
+ Contribute to continuous improvement initiatives by evaluating and implementing emerging data engineering tools and practices.
**What You Will Bring**
+ Legally entitled to work full-time in Canada and able to travel to the United States.
+ Bachelor's Degree in Computer Science, Information Systems, Engineering, or related field.
+ 3-5 years of experience as a Data Engineer, Database Developer, or related role.
+ Strong SQL skills and experience working with relational databases (e.g., SQL Server, Oracle, PostgreSQL).
+ Proficiency with ETL/ELT tools and data pipeline orchestration (e.g., Azure Data Factory, dbt).
+ Experience with cloud platforms such as Microsoft Azure, Snowflake, or Databricks.
+ Strong programming skills in Python or Scala for data processing and automation.
+ Familiarity with big data file formats (e.g., Parquet, ORC, JSON) and distributed processing frameworks (e.g., Spark).
+ Understanding of data modeling, data warehousing, and dimensional design principles.
+ Knowledge of data governance, security, and compliance best practices.
+ Excellent problem-solving abilities, attention to detail, and communication skills.
+ Ability to work collaboratively in cross-functional teams and adapt to a fast-paced environment.
**What You Will Benefit From**
+ Extensive health benefits, including vision and dental care
+ Retirement Savings Plan with Employer Matching Contributions
+ Competitive Base Salary
+ iPhone, and laptop
+ Paid time off and employee discount programs
+ Annual $500 Wellness Program allowance
**Visit our:** Company Website ( **,** LinkedIn ( **and** Instagram ( **today**
_Diversity, equity, and inclusion are at the core of our values at TTI. Because of our commitment to a multicultural and inclusive workplace, our people are our competitive advantage. We foster an inclusive environment where diversity is valued and where all employees feel safe to contribute their ideas, share their experiences, and represent their diverse backgrounds to innovate and solve complex problems as one team. We actively support and accommodate the diverse needs of our team, creating an empowering space where everyone can thrive._
Equal Opportunity Employer Minorities/Women/Protected Veterans/Disabled
We endeavor to make this site accessible to any and all users. If you need to contact us regarding technical accessibility of our website call . This number is only for technical accessibility issues, not general employment or job posting inquiries.

**Responsibilities:**
+ Hands-on data engineering and technical oversight in the development of batch and real-time data pipelines, DevOps pipelines and end-to-end processes supporting data ingestion, curation, virtualization and delivery at scale leveraging Microsoft Azure Data & Analytics PaaS Services.
+ Lead the agile software development process, including roadmap planning, cross-team coordination, task assignments, code reviews, sprint demos, and design review and sign-off.
+ Translate business requirements to technical solutions working with development teams, architects and business analysts conformant to enterprise standards, architecture and technologies.
+ Delivery of modernization of enterprise data solutions using Azure cloud data technologies.
+ Design and Build Modern Data Pipelines and Data Streams.
+ Design and Build Data Service APIs.
+ Develop and maintain data warehouse schematics, layouts, architectures, and relational/non-relational databases for data access and Advanced Analytics.
+ Expose data to end-users using PowerBI, Azure API Apps, or any other modern visualization platform or experience.
+ Playing a key role in mentoring other staff members and a proven track record in knowledge transfer to other team members and departments.
+ Identifies opportunities for new architectural initiatives makes recommendations on the increasing scalability and robustness of platforms and solutions.
Knowledge and skills:
+ 10+ years of professional experience with designing and development of data warehouses and ETL tools and technologies.
+ Strong experience as an Azure Data Engineer and must have Azure Databricks experience.
+ Expert level understanding of Azure Data Lake, Azure SQL databases, Azure Data Factory and Azure Databricks is required.
+ Hands-on experience on designing and developing scripts for ETL processes and automation in Azure data factory, Azure databricks and PySpark.
+ Experience preparing data for use in Data science/Advanced Analytics using Azure ML.
+ Experienced with the Hadoop ecosystem and toolset - HDFS, MapReduce, Spark, Python, Scala, Hive and Oozie.
+ Experience with CI/CD tools such as GitHub, Jenkins and Azure DevOps to configure and build CI/CD pipelines
+ Knowledge of BI tools such as PowerBI
+ Strong interpersonal, written and oral communication skills
+ Proven ability to effectively prioritize and execute tasks in a team-oriented, collaborative work place
+ Self-reliant and comfortable with a rapidly changing environment
+ Customer service orientation
+ Ability to assimilate new skills to support
+ Ability to adapt to new service needs as they arise
**Giới thiệu về Manulife và John Hancock**
Tập đoàn Manulife Financial là nhà cung cấp dịch vụ tài chính quốc tế hàng đầu giúp mọi người quyết định dễ dàng hơn và có cuộc sống vẹn toàn hơn. Để tìm hiểu thêm về chúng tôi, hãy truy cập .
**Manulife là Nhà sử dụng lao động không phân biệt đối xử**
Tại Manulife/John Hancock, chúng tôi luôn đón nhận sự đa dạng. Chúng ta cố gắng thu hút, phát triển và duy trì lực lượng lao động đa dạng tương tự như những khách hàng mà chúng ta phục vụ, đồng thời thúc đẩy một môi trường làm việc hòa nhập, đề cao thế mạnh của từng nền văn hóa và cá nhân. Chúng ta cam kết tuyển dụng, duy trì, thăng tiến và trả lương một cách công bằng. Đồng thời, chúng ta quản lý tất cả các hoạt động và chương trình của mình mà không phân biệt đối xử dựa trên chủng tộc, dòng họ, xuất thân, màu da, nguồn gốc dân tộc, quyền công dân, tôn giáo hoặc tín ngưỡng tôn giáo, đức tin, giới tính (bao gồm phụ nữ mang thai và các tình trạng liên quan đến mang thai), xu hướng tính dục, đặc điểm di truyền, tình trạng cựu chiến binh, bản dạng giới, biểu hiện giới, tuổi tác, tình trạng hôn nhân, tình trạng gia đình, khuyết tật hoặc bất kỳ căn cứ nào khác được pháp luật hiện hành bảo vệ.
Ưu tiên của chúng ta là loại bỏ các rào cản để đem lại cơ hội tiếp cận việc làm bình đẳng. Đại diện Bộ phận Nhân sự sẽ làm việc với những ứng viên có yêu cầu điều chỉnh hợp lý trong quá trình ứng tuyển. Tất cả thông tin được chia sẻ trong quá trình yêu cầu điều chỉnh sẽ được lưu trữ và sử dụng tuân theo pháp luật hiện hành và chính sách của Manulife/John Hancock. Để yêu cầu điều chỉnh hợp lý trong quá trình ứng tuyển, hãy liên hệ với .
**Referenced Salary Location**
Halifax, Nova Scotia
**Working Arrangement**
Kết hợp
**Salary range is expected to be between**
$94,220.00 CAD - $174,980.00 CAD
If you are applying for this role outside of the primary location, please contact for the salary range for your location. The actual salary will vary depending on local market conditions, geography and relevant job-related factors such as knowledge, skills, qualifications, experience, and education/training. Employees also have the opportunity to participate in incentive programs and earn incentive compensation tied to business and individual performance.
Manulife offers eligible employees a wide array of customizable benefits, including health, dental, mental health, vision, short- and long-term disability, life and AD&D insurance coverage, adoption/surrogacy and wellness benefits, and employee/family assistance plans. We also offer eligible employees various retirement savings plans (including pension and a global share ownership plan with employer matching contributions) and financial education and counseling resources. Our generous paid time off program in Canada includes holidays, vacation, personal, and sick days, and we offer the full range of statutory leaves of absence. If you are applying for this role in the U.S., please contact for more information about U.S.-specific paid time off provisions.

**Responsibilities:**
+ Hands-on data engineering and technical oversight in the development of batch and real-time data pipelines, DevOps pipelines and end-to-end processes supporting data ingestion, curation, virtualization and delivery at scale leveraging Microsoft Azure Data & Analytics PaaS Services.
+ Lead the agile software development process, including roadmap planning, cross-team coordination, task assignments, code reviews, sprint demos, and design review and sign-off.
+ Translate business requirements to technical solutions working with development teams, architects and business analysts conformant to enterprise standards, architecture and technologies.
+ Delivery of modernization of enterprise data solutions using Azure cloud data technologies.
+ Design and Build Modern Data Pipelines and Data Streams.
+ Design and Build Data Service APIs.
+ Develop and maintain data warehouse schematics, layouts, architectures, and relational/non-relational databases for data access and Advanced Analytics.
+ Expose data to end-users using PowerBI, Azure API Apps, or any other modern visualization platform or experience.
+ Playing a key role in mentoring other staff members and a proven track record in knowledge transfer to other team members and departments.
+ Identifies opportunities for new architectural initiatives makes recommendations on the increasing scalability and robustness of platforms and solutions.
Knowledge and skills:
+ 10+ years of professional experience with designing and development of data warehouses and ETL tools and technologies.
+ Strong experience as an Azure Data Engineer and must have Azure Databricks experience.
+ Expert level understanding of Azure Data Lake, Azure SQL databases, Azure Data Factory and Azure Databricks is required.
+ Hands-on experience on designing and developing scripts for ETL processes and automation in Azure data factory, Azure databricks and PySpark.
+ Experience preparing data for use in Data science/Advanced Analytics using Azure ML.
+ Experienced with the Hadoop ecosystem and toolset - HDFS, MapReduce, Spark, Python, Scala, Hive and Oozie.
+ Experience with CI/CD tools such as GitHub, Jenkins and Azure DevOps to configure and build CI/CD pipelines
+ Knowledge of BI tools such as PowerBI
+ Strong interpersonal, written and oral communication skills
+ Proven ability to effectively prioritize and execute tasks in a team-oriented, collaborative work place
+ Self-reliant and comfortable with a rapidly changing environment
+ Customer service orientation
+ Ability to assimilate new skills to support
+ Ability to adapt to new service needs as they arise
**Acerca de Manulife y John Hancock**
Manulife Financial Corporation es un importante proveedor internacional de servicios financieros que ayuda a las personas a tomar decisiones de una manera más fácil y a vivir mejor. Para obtener más información acerca de nosotros, visite .
**Manulife es un empleador que ofrece igualdad de oportunidades**
En Manulife/John Hancock, valoramos nuestra diversidad. Nos esforzamos por atraer, formar y retener una fuerza laboral tan diversa como los clientes a los que prestamos servicios, y para fomentar un entorno laboral inclusivo en el que se aprovechen las fortalezas de las culturas y las personas. Estamos comprometidos con la equidad en las contrataciones, la retención de talento, el ascenso y la remuneración, y administramos todas nuestras prácticas y programas sin discriminación por motivos de raza, ascendencia, lugar de origen, color, origen étnico, ciudadanía, religión o creencias religiosas, credo, sexo (incluyendo el embarazo y las afecciones relacionadas con este), orientación sexual, características genéticas, condición de veterano, identidad de género, expresión de género, edad, estado civil, estatus familiar, discapacidad, o cualquier otro aspecto protegido por la ley vigente.
Nuestra prioridad es eliminar las barreras para garantizar la igualdad de acceso al empleo. Un representante de Recursos Humanos trabajará con los solicitantes que requieran una adaptación razonable durante el proceso de solicitud. Toda la información que se haya compartido durante el proceso de solicitud de adaptación se almacenará y utilizará de manera congruente con las leyes y las políticas de Manulife/John Hancock correspondientes. Para solicitar una adaptación razonable en el proceso de solicitud, envíenos un mensaje a .
**Referenced Salary Location**
Halifax, Nova Scotia
**Modalidades de Trabajo**
Híbrido
**Salary range is expected to be between**
$94,220.00 CAD - $174,980.00 CAD
Si se está postulando para este puesto fuera de la ubicación principal, póngase en contacto con para conocer el rango salarial de su ubicación. El salario real variará según las condiciones locales del mercado, la geografía y los factores relacionados con el trabajo pertinentes, como conocimiento, habilidades, calificaciones, experiencia y educación/capacitación. Los empleados también tienen la oportunidad de participar en programas de incentivos y obtener una compensación de incentivos vinculada al desempeño comercial e individual.
Manulife ofrece a los empleados aptos una amplia variedad de beneficios personalizables, entre ellos, beneficios de salud, odontológicos, de salud mental, oftalmológicos, por discapacidad a corto y a largo plazo, cobertura de seguro de vida y por muerte accidental y desmembramiento, adopción/subrogación y bienestar, y planes de asistencia al empleado/familiar. También ofrecemos a los empleados admisibles varios planes de ahorro para la jubilación (incluidos planes de pensiones y un plan mundial de propiedad de acciones con contribuciones equivalentes del empleador) y recursos de asesoramiento y educación financiera. Nuestro generoso programa de tiempo libre remunerado en Canadá incluye feriados, vacaciones, días personales y días por enfermedad, y ofrecemos la gama completa de ausencia laboral reglamentaria. Si se está postulando para este puesto en los EE. UU., póngase en contacto con para obtener más información sobre las disposiciones relativas al tiempo libre remunerado específicas de EE. UU.

Imagine yourself.
+ Doing meaningful work that makes an everyday impact on the world around you.
+ Growing your expertise and expanding your skillset with every project.
At Trojan Technologies ( , you have the power to make it possible.
Trojan Technologies, a Veralto ( company, plays a vital role in making the various stages of the water treatment process more effective and efficient. Our products and services have applications across municipal wastewater, drinking water, environmental contaminant treatment, and residential water treatment, along with ultra-purification of water used in food and beverage manufacturing, pharmaceutical processing and semiconductor applications.
When you join the Trojan Technologies team and the broader Veralto network, you become part of a unique culture where purpose meets possibility: where the work we do makes an everyday impact on the world's vital water resources, and where you'll have the power to deepen your skillset, own your ambition, and fuel your career growth.
Take a moment to watch our video: The Power to Make Things Possible ( ( )
We offer:
+ Flexible working hours
+ Professional onboarding and training options
+ Powerful team looking forward to working with you
+ Career coaching and development opportunities
+ Health benefits
+ 401(k)
**If you are a Data Engineering professional with a passion for building world-class data solutions using Matillion and Snowflake, and you are eager to make a tangible impact in a collaborative and rapidly growing organization, we would love to hear from you. Join us and help shape the future of data-one pipeline at a time.**
**We look forward to receiving your application!**
**To apply, please submit your resume and a detailed cover letter describing your experience with Matillion, Snowflake, and designing data architectures at scale. We encourage applicants to include real-world examples of data challenges you've solved, your approach to building resilient and scalable pipelines, and any relevant projects or open-source contributions. Qualified candidates will be invited to participate in a multi-stage interview process involving technical assessments, architectural discussions, and meetings with key stakeholders.**
Reporting to the Sr Manager, Data Management & Analytics the Data Engineer is responsible for designing and maintaining our modern data infrastructure, enabling advanced analytics and real-time decision making across the business. This is an exciting opportunity for someone who thrives on innovation, values continuous improvement, and wishes to help shape the data landscape of a dynamic organization.
At Trojan Technologies we believe in designing a better, more sustainable workforce. We recognize the benefits of flexible, **remote working** arrangements for eligible roles and are committed to providing enriching careers, no matter the work arrangement. This position is eligible for a **remote work** arrangement in which you can work remotely from your home. Additional information about this remote work arrangement will be provided by your interview team. Explore the flexibility and challenge that working for Trojan Technologies can provide.
**In this role, a typical day will look like:**
+ Design, develop, and maintain scalable ELT/ETL pipelines using Matillion and Snowflake to support diverse data integration and transformation needs across the company.
+ Architect end-to-end data workflows that ensure high performance, reliability, and data integrity for both batch and near real-time use cases.
+ Collaborate with cross-functional teams including Data Analysts, DevOps, and business stakeholders to gather requirements and deliver data solutions that drive value.
+ Define and implement best practices for data modeling, metadata management, data lineage, and governance, utilizing the features of Snowflake and Matillion.
+ Optimize data storage, retrieval, and computation to ensure efficient processing and cost control within our cloud infrastructure.
+ Monitor, troubleshoot, and resolve issues related to data pipelines, performance bottlenecks, and data quality challenges
**The essential requirements of the job include:**
+ **3+ years of continuous experience working with Matillion ELT/ETL for cloud data warehouses, including designing complex orchestration jobs, transformation components, and API integrations.**
+ **Advanced knowledge of Snowflake, including schema design, security, performance tuning, stream and tasks, and cost optimization strategies.**
+ Bachelor's or Master's degree in Computer Science, Information Systems, Engineering, or a related field, or equivalent work experience.
+ 5+ years of professional experience in data engineering, with at least 2 years in a senior role.
+ Proven experience in architecting large-scale, distributed data systems and implementing data lakes,warehouses, and marts.
+ Deep understanding of data modeling (dimensional, normalized, and denormalized), data governance, and data quality frameworks.
**It would be a plus if you also possess previous experience in:**
- Strong grasp of cloud platforms (AWS, Azure, or GCP) as they relate to data storage, processing, and security.
Certification or working toward certification in Matillion, Snowflake
- Hands-on experience with data cataloging tools and metadata management frameworks.
- Exposure to machine learning workflows and MLOps in a data engineering context
Trojan Technologies is proud to part of the Water Quality segment of Veralto (NYSE: VLTO), a $5B global leader dedicated to ensuring access to clean water, safe food and medicine, and trusted essential goods. When you join Veralto's vibrant global network of 16,000 associates, you join a unique culture and work environment _where purpose meets possibility_ : where the work you do has an everyday impact on the resources and essentials we all rely on, and where you'll have valuable opportunities to deepen your skillset, pursue your ambitions, and grow your career. Together, we're Safeguarding the World's Most Vital Resources-and building rewarding careers along the way.
At Veralto, we value diversity and the existence of similarities and differences, both visible and not, found in our workforce, workplace and throughout the markets we serve. Our associates, customers and shareholders contribute unique and different perspectives as a result of these diverse attributes.
If you've ever wondered what's within you, there's no better time to find out.
**Unsolicited Assistance**
We do not accept unsolicited assistance from any headhunters or recruitment firms for any of our job openings. All resumes or profiles submitted by search firms to any employee at any of the Veralto companies ( , in any form without a valid, signed search agreement in place for the specific position, approved by Talent Acquisition, will be deemed the sole property of Veralto and its companies. No fee will be paid in the event the candidate is hired by Veralto and its companies because of the unsolicited referral.
Veralto and all Veralto Companies are committed to equal opportunity regardless of race, color, national origin, religion, sex, age, marital status, disability, veteran status, sexual orientation, gender identity, or other characteristics protected by law. We value diversity and the existence of similarities and differences, both visible and not, found in our workforce, workplace and throughout the markets we serve. Our associates, customers and shareholders contribute unique and different perspectives as a result of these diverse attributes.

This role can be based remotely in the Greater Toronto Area, Ontario, Canada.
Are you ready to open a world of opportunity in talent mobility? Our clients include some of the largest and most recognized brands in the world. They're innovators and leaders in their industries, making life-enhancing breakthroughs every day. We help them tap into those opportunities by placing their exceptional people where they need to be, anywhere in the world. When it comes to service, we set the bar for exceptional . and then we raise it with fresh ideas, leading tools and innovative approaches, and it's all grounded in our values of truth, love, and integrity. We call it People-first Mobility. We're looking for exceptional people who share those values along with our passion for delivering the highest levels of service. If that sounds like you, and if you're ready for a new career opportunity, we'd like to hear from you! Here's to the world ahead.  
As a Data Engineer, you know the importance of data to the business. You design and set up projects that bring together information from a variety of sources, to enable analysis and decision-making. You make sure that data is accessible and easy to use, so that it can be used for routine and ad-hoc analysis. You draw on your considerable experience in bringing data to life to solve sometimes complex problems, and you are comfortable looking after several projects at once.
Essential Duties
+ Give colleagues and clients the tools to find and use data for routine and non-routine analysis.
+ Use your sound eye for business to translate business requirements into technical solutions.
+ Analyze current business practices, processes, and procedures to spot future opportunities.
+ Assess client needs to build bespoke data design services.
+ Provide exceptional Support to our business partners
+ Build the building blocks for transforming enterprise data solutions.
+ Design and build modern data pipelines
+ Implement effective metrics and monitoring.
+ Be comfortable making your own decisions and guiding your colleagues.
+ Design and develop technical best practices for modeling and report design
Required Skills
+ Transforming business needs into technical solutions
+ Mapping data and analytics
+ Data profiling, cataloguing, and mapping to enable the design and build of technical data flows.
+ Use proven methods to solve business problems using Azure Databricks
+ Building or being part of the build of an Enterprise Semantic layer
+ Experience in preparing data for and building pipelines and architecture.
+ Capable of working independently to solve problems under deadlines and to manage multiple projects/priorities under time constraints.
+ Review functional and design specifications to ensure a full understanding of individual deliverables.
Required Experience
+ 5+ years of data engineering experience.
+ 2+ years of hands-on experience with both Databricks and Microsoft Azure Stack to support new system architectures.
+ Experienced with designing and deploying end-to-end solutions with a cloud platform's analytic services including storage, permissions, private cloud, Infrastructure as Code (IAC), database services, virtual machines, and parallel processing technologies.
+ You possess a working knowledge of agile development methodologies including DevOps concepts.
+ You're well-versed in version control platforms like Git
+ Solid understanding and capability in Python for data tasks and integration
+ MS D365
+ Relocation Industry experience
+ Fabric/Power BI and Power Query
+ AI/ML experience
As a testament to our commitment to diversity, equity, inclusion, and belonging, and in alignment with our commitment to fair and transparent compensation, our salary bands are transparent both internally and as a part of our external recruitment process. The targets for this role are dependent on market/ geographic location and range from $140,000 to $175,000 CAD.
Graebel Companies, Inc. is an EEO/AA Employer M/F/Disabled/Vet.

Job Description

Job Description

Salary:

Forum Asset Management Data Engineer

Location: 181 Bay Street, Toronto

In Office:5 days per week

Overview of Forum:

Join us in deliveringExtraordinary Outcomesthrough investment.

Forum is an investor, developer and asset manager operating across North America for over 28 years, focusing on real estate, private equity and infrastructure, with a strategic concentration in housing.

Our AUM exceeds $3 billion. We are committed to sustainability, responsible investing and creating value that benefits our stakeholders and the communities in which we invest, what we call our Extraordinary Outcomes.

In 2024, Forum completed thelargest real estate transaction in Canadawith theAlignvest acquisition,making us thelargest owner of Purpose-Built Student Accommodation (PBSA) in Canada through our $.5B open ended Real Estate Income and Impact Fund (REIIF).Ournational development pipeline now exceeds 3.5 billion,positioning Forum as thelargest developer of PBSA in Canada, operating from coast to coast.

The Forum team is adaptable, agile, and dynamic, committed to sustainable and responsible investing. Our people bring diverse cultural backgrounds and professional experiences, fostering innovation and thought leadership.We uphold integrity, trust, and transparency as core values, knowing that to achieveExtraordinary Outcomes,we need to support and develop anExtraordinary team.

Position Overview:

Were looking for aData Engineer to own the architecture, build, and evolution of Forums enterprise data platform using the Microsoft Fabric technology stack (or a suitable alternative). This is a rare greenfield opportunity to architect the full data lifecyclefrom ingestion and transformation to analytics and AI enablementwhile directly impacting Forums investment, real estate, and operational strategies.

This is a hands-on, in-office role with high visibility. Youll act as a trusted advisor and technical authority, collaborating with investment professionals, business leaders, analysts, and software developers to design enterprise-grade systems and AI-powered workflows that drive measurable business value. Your work will lay the foundation for our long-term data strategy and the future of decision-making at Forum.

Key Duties and Responsibilities:

• Own the end-to-end design and evolution of Forums Lakehouse architecture Microsoft Fabric, Azure Data Factory, Synapse, ADLS, and related Azure services
• Define and enforce data engineering standards, governance frameworks, and lifecycle management practices
• Lead large-scale data initiatives, migrations, and integrations across diverse internal and external systems
  
• Design and optimize enterprise-grade ETL/ELT pipelines for high-volume, high-complexity data
• Implement structured data workflows (e.g., Medallion Architecture) to deliver reliable, business-ready data
• Develop AI/ML-powered workflows using tools like Azure OpenAI, Document Intelligence, and Azure ML
• Create internal APIs and tools to enable self-serve analytics and data access across departments
• Partner with business teams across real estate, private equity, and operations to identify data opportunities and implement tailored solutions
• Develop and evolve our Power BI dashboards and reporting layer, ensuring reliable data access and visualization
• Promote best practices in data governance, automation, and AI application across Forums technology ecosystem
• Partner with internal teams and external technology vendors to drive the rollout of the platform

Candidate Profile:

• 6-7 years of progressive experience in data engineering, with a proven track record of architecting and delivering enterprise-scale data solutions
• Expert-level experience with the Microsoft Azure ecosystem: Microsoft Fabric, Azure Data Factory (ADF), Synapse, ADLS Gen2, and Power BI
• Proficiency in Python for data engineering, automation, and API development
• Deep understanding of data modeling, ELT/ETL design, and data warehouse best practices
• Track record architecting enterprise-scale data platforms in high-growth or regulated industries
• Proven success deploying AI/ML solutions into production at scale
• Experience integrating Azure OpenAI, LLMs, and document intelligence into real business processes
• Ability to evaluate, pilot, and operationalize emerging AI technologies for measurable business impact
• Demonstrated ability to work directly with executives, investors, and analysts to shape data strategy
• Strong communication skills and an entrepreneurial mindset: capable of turning ambiguity into working solutions
• Experience working with financial data models, capital tables, investment reports, or property management systems
• Background in private equity, real estate, asset management, or related sectors preferred
  

At Forum, we encourage diversity. We are committed to an inclusive workplace that reflects our belief that diversity is central to building a high-performing team. Forum is an equal-opportunity employer. We are committed to providing accessible employment practices. Should you require an accommodation during any phase of the recruitment process, please let the recruitment team know at

Job Description

Job Description

Tiger Analytics is a fast-growing advanced analytics consulting firm. Our consultants bring deep expertise in Data Science, Machine Learning and AI. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are looking for top-notch talent as we continue to build the best analytics global consulting team in the world.

We are seeking an experienced Data Engineer with expertise in Dataiku to join our data team. As a Data Engineer, you will be responsible for designing, building, and maintaining data pipelines, data integration processes, and data infrastructure. You will collaborate closely with data scientists, analysts, and other stakeholders to ensure efficient data flow and support data-driven decision making across the organization.

Requirements

• 8+ years of overall industry experience specifically in data engineering
• Strong knowledge of data engineering principles, data integration, and data warehousing concepts.
• Proficiency in building and maintaining data pipelines using Dataiku.
• Solid understanding of ETL processes and tools.
• Strong programming skills in Python, SQL, or Scala.
• Good understanding of data modeling, data architecture, and database design.
• Familiarity with cloud platforms like AWS, Snowflake, dbt, Azure, or GCP.
• Excellent problem-solving and troubleshooting skills.
• Strong communication and collaboration abilities.
• Attention to detail and a focus on delivering high-quality work.

Benefits

Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, challenging, and entrepreneurial environment, with a high degree of individual responsibility.

Job Description

Job Description

Salary:

Global Spatial Technology Solutions (GSTS) is a Global Maritime Intelligence company delivering solutions to enhance decision making across the maritime and logistics industry. Our platform, OCIANA, is designed to save lives, energy and the environment on a global scale using innovative data collection and analysis techniques.

GSTS is building a team to support the continued development and commercialization of this capability, which will have a major impact on maritime risk and vessel efficiency on a global scale. We're seeking individuals with drive, initiative, and adaptability to join our team and make the world safer and greener for all.Read more at:

ROLE:

As Data Engineer, youll play a critical role in building out OCIANAs geospatial data integrations, enabling real-time decision-making and supporting novel machine learning models. You'll collaborate with Data Scientists, Product Owners, and Platform Engineers to scale infrastructure, optimize pipelines, and ensure seamless delivery of data services from ingestion to visualization.

KEY RESPONSIBILITIES:

• Architect and maintain
  Data Pipelines and and Data Streams for geospatial and maritime data
• Design and build Data APIs internal and external access (FastAPI)
• Collaborate with Data Scientists to build and deploy ML models using efficient ML OPs practices
• Support and extend CI/CD workflows using GitLab/GitHub and Infrastructure-as-Code (CloudFormation)
• Improve platform observability and reliability
• Support event-driven architecture for scalable data flows across the platform

EXPERIENCE & QUALIFICATIONS:

• 10+ years of professional experience in data engineering or platform/backend engineering roles

• Bachelors Degree Computer Science, Engineering, related field, or equivalent

• Strong Python and SQL programming skills (PostgreSQL preferred)

• Experience with cloud-native architecture and working with managed services in AWS

• Proven experience in CI/CD, containerization (Docker), and orchestrators like ECS

• Familiarity with Git-based collaboration (GitLab) and Agile/Scrum development environments

• Experience building and optimizing large-scale data infrastructure and distributed systems

BONUS POINTS:

• Familiarity with Apache Kafka, Apache Iceberg, or event-driven design patterns

• Experience with AIS (Automatic Identification System) or other maritime data sources

• Hands-on with Airflow, Terraform, Snowflake, or Apache Spark

• Strong understanding of both DevOps and ML Ops principles

• Development experience with web mapping patterns and tools (Mapbox, Deck.GL, Leaflet)

• Solid background in geospatial data processing and technologies (PostGIS)

• Familiarity with R/Shiny applications
  

OUR STACK

Gitlab/GitlabCI, AWS, CloudFormation, ECS Fargate/Lambda, Cloudwatch, Docker, Kinesis, API Gateway/Fast API, node.js, Sentry, React, AGgrid, Deck.gl, Python, PostgreSQL/Athena

COMMENTS/SPECIAL CONSIDERATIONS:

Candidates must be willing to obtain a criminal background check and provide two professional references.

WHAT WE OFFER:

GSTS is focused on attracting unique, diverse perspectives that help drive the global maritime industry forward. Our compensation is comprised of the following:

Competitive salary and vacation

100% employer-paid health and dental benefits for you and your family

Annual HSA/FSA allotment

Access to mental health professionals

Annual professional development spend

One-time tech allowance

WHY WORK WITH US?

Remote-first culture: Enjoy the flexibility of working from anywhere in Canada, allowing you to balance your professional and personal life. Prefer to be in office? We also have Dartmouth, Nova Scotia and Montreal, Quebec offices offering flexible hybrid options.

Have a meaningful impact: Join a dynamic environment where your contributions directly influence our products and company growth.

Collaborative team: Be part of a small, agile team that values positivity, creativity, and open communication.

Continuous learning: Were committed to your professional growth, providing opportunities for skill development and staying current with industry trends.

Exciting industry: Work on cutting-edge projects in a rapidly evolving field, applying your skills to solve real-world challenges.

Work-life balance: We respect your time outside work and strive to maintain a healthy balance between professional and personal commitments.

We are committed to creating a sense of belonging amongst our team. We place an emphasis on fostering a diverse, collaborative, and inclusive working environment. We welcome applications from qualified candidates irrespective of social and cultural background, age, gender, disability, sexual orientation or religious belief.

GSTS offers a competitive salary and benefits package. If you think this challenge is right for you, we encourage you to apply. Please address any questions to

#LI-Remote

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