Mississauga, On Java full stack developer hybrid / Jobs – 95 Openings This Week

Senior Data Engineering Developer II
Bell —Mississauga, ON
- Full-time
- Hybrid work
- Azure
- Java
- SQL
- Dental care
2d
Production Support Engineer
GFT Technologies SE —Toronto, ON
- Full-time
- English
- Java
- SQL
Senior Staff Software Developer
Intuit —Toronto, ON
- $179,500–$242,500 a year
- Hybrid work
- Computer Science
- Java
- Master's degree
Sr Software Engineer - Core Backend & Platform Engineering
Basis —Toronto, ON
- $119,051–$160,000 a year
- Full-time
- Remote
- Java
- AWS
- JavaScript
Quick apply
AEM Developer
TRU IT —Toronto, ON
- Immediate opening
- Hybrid work
- Azure
- Java
- Analysis skills
Quick apply
Senior Software Engineer
Guidewire Software —Toronto, ON
- $126,000–$157,000 a year
- Full-time
- Hybrid work
- Computer Science
- DevOps
- Engineering
- Dental care
- Paid time off
Senior Full-Stack Software Engineer - Global AI Platform
Manulife —Toronto, ON
- $113,000–$163,000 a year
- Full-time
- Hybrid work
- Azure
- Java
- AWS
- Disability insurance
- Dental care
DevOps Engineer
iManage —Toronto, ON
- Full-time
- Hybrid work
- Azure
- DevOps
- Engineering
- Dental care
- Paid time off
Quick apply
Principal Associate Software Engineer - International Card Tech - Backend
Capital One —Toronto, ON
- Full-time
- Hybrid work
- Computer Science
- DevOps
- Engineering
5d
Senior Staff Engineer - Product Security
Faire —Toronto, ON
- $216,000–$297,000 a year
- Java
- AWS
- IT
Staff Software Engineer, AI Platform
eBay Inc. —Toronto, ON
- $142,400–$190,100 a year
- Full-time
- Hybrid work
- Azure
- Java
- Databases
- Paid time off
Senior Backend Engineer, AI Platform
EvenUp —Toronto, ON
- $158,525–$214,475 a year
- Full-time
- Hybrid work
- Java
- C++
- Machine learning
- Designated paid holidays
- Disability insurance
Application Security Consultant - SCA - Global Security
Royal Bank of Canada —Toronto, ON
- Full-time
- Hybrid work
- Azure
- Management
- DevOps
14d
Senior Lead Software Engineer – Regulatory Reporting & Big Data
Citi —Mississauga, ON
- $120,800–$170,800 a year
- Full-time
- Hybrid work
- Management
- Computer Science
- Engineering
3d
Staff Android OS Engineer - Infotainment
Rivian and Volkswagen Group Technologies —Toronto, ON
- $137,000–$181,000 a year
- Full-time
- Hybrid work
- Computer Science
- Engineering
- Java
Principal Software Engineer - Platform, Identity and BI
Calabrio —Toronto, ON
- On call
- Remote
- DevOps
- Java
- SQL
- Designated paid holidays
- Disability insurance
Quick apply
Senior Site Reliability Engineer
iManage —Toronto, ON
- Full-time
- Hybrid work
- Azure
- Engineering
- Java
- Dental care
- Paid time off
Quick apply
Senior Manager, AEM Development
Royal Bank of Canada —Toronto, ON
- Full-time
- Azure
- DevOps
- Java
7d

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Senior Data Engineering Developer II

Bell -
Mississauga, ON

Apply Now

Job details

Full-time
2 days ago

Qualifications

French
SAFe
Azure
Law
Kubernetes
Spark
Google Cloud Platform
Java
SQL
AWS
Docker
Machine learning
Scala
Terraform
Computer networking
Agile
Kafka
AI
Communication skills
Python
Hadoop

Full job description

Category

Technology

Job Id

430478

Req Id: 430478

At Bell, we do more than build world-class networks, develop innovative services and create original multiplatform media content – we advance how Canadians connect with each other and the world.

If you’re ready to bring game-changing ideas to life and join a community that values, professional growth and employee wellness, we want you on the Bell team.

The Bell Mobility team offers the best and latest mobile devices, wireless services and Internet of Things solutions to consumer and business customers, with the top speeds, coverage and reliability on Canada’s Best National Network. We love to innovate, embrace big challenges, and live for the newest technology

Summary

We are looking for a Lead Data Engineer who is genuinely hands-on, sets the technical direction for the squad, and is comfortable being accountable for delivery without owning formal people-management. You will run the squad day to day, assigning and reviewing work, unblocking engineers, operationalizing data products, and working directly with the end users who depend on them. You will partner closely with the Data Engineering manager, who holds manager-of-record responsibility, while you own the engineering outcomes. You set the bar, you delegate with confidence, and you are accountable for what the team ships.
This is a leadership role for someone who still wants to be in the code, and who wants to be at the center of the AI build-out rather than watching it from the sidelines. If you want to architect a data product, write a meaningful part of it, then hand the rest off cleanly and hold the team to a high bar, this role is built for you.

Key Responsibilities

Your core mission is to power the AI data fabric: deliver the high-quality, well-governed, AI-ready data that AI and analytics teams build on, and partner with them to provide the fabric, features, and serving patterns they need. Alongside that, you own our data products end to end, working directly with the users who depend on them to turn one-off datasets into durable, self-serve products that are documented, governed, and trusted.
You are the technical owner for the squad’s Data Fabric and Data Products streams. You set the architecture and stay in the code: writing and reviewing production work, designing the data models, and setting the standard in BigQuery, Dataflow, and Kafka-based pipelines, while driving the ongoing modernization of legacy workloads onto the cloud.
You run the squad day to day: planning the work, delegating with intent, and owning delivery, quality, and the path back when commitments are at risk, while mentoring engineers and growing a technical lieutenant. You also own operational health, including monitoring, incident response, and on-call, and you steadily drive down toil through better observability and automation.

Critical Qualifications

7+ years of hands-on data engineering experience, or 10+ years in software engineering with substantial data exposure.
Strong hands-on data engineering experience building and operating production data pipelines and data products at scale.
Deep expertise with a modern cloud data stack. GCP (BigQuery, Dataflow) strongly preferred; equivalent AWS or Azure experience considered.
Proficiency in SQL and at least one of Python, Java, or Scala for data engineering.
Solid data modeling and warehouse design fundamentals, including building for performance, cost, and maintainability at scale.
Experience with pipeline orchestration and scheduling (Airflow, Cloud Composer, or equivalent).
Strong software engineering discipline: version control, code review, testing, and CI/CD applied to data pipelines.
Demonstrated technical leadership: leading the design and delivery of multi-person initiatives, reviewing others’ work, and setting engineering standards.
Experience with streaming and event data (Kafka or equivalent) and with infrastructure as code (Terraform).
A track record of operational ownership: on-call, incident response, monitoring, and reliability engineering for data or backend systems.
A working grasp of data quality, lineage, and governance, and a habit of building it in rather than bolting it on.
The judgment and communication skills to delegate, hold people accountable, work directly with end users, and manage stakeholders without formal authority over them.

Preferred Qualifications

Experience building data foundations for AI or machine learning: feature pipelines, vector or embedding stores, RAG data layers, or ML serving.
Hands-on use of AI tooling in the engineering workflow (code assistants, agentic tooling, LLM-based data quality or enrichment).
Experience with transformation frameworks and a semantic or metrics layer (dbt or equivalent).
Experience migrating workloads from on-prem Hadoop or Spark to a cloud data platform.
Familiarity with telecom or network telemetry data.
Experience working in an Agile or SAFe delivery model, including PI planning.
Exposure to data governance, privacy, or regulatory reporting.
Familiarity with observability tooling (Grafana and similar).
Experience with containerization and orchestration (Docker, Kubernetes).
Cloud cost management or FinOps awareness for data platforms.
A relevant degree or cloud certification (for example GCP Professional Data Engineer).

#LI-SS1

Adequate knowledge of French is required for positions in Quebec.

Additional Information:

Position Type: Management
Job Status: Regular - Full Time
Job Location: Canada : Quebec : Montreal || Canada : Ontario : Mississauga || Canada : Ontario : Toronto
Work Arrangement: Hybrid
Application Deadline: 06/29/2026

For work arrangements that are ‘Hybrid’, successful candidates must be based in Canada and report to a set Bell office for a minimum of 3 days a week. Recognizing the importance of work-life balance, Bell offers flexibility in work hours based on the business needs.

Please apply directly online to be considered for this role. Applications through email will not be accepted.

We know that caring for our team members is at the heart of a healthy, positive and thriving workplace. As part of our team, you’ll enjoy a comprehensive compensation package that includes a competitive salary and a wide range of benefits to support the well-being of you and your family. As soon as you join us, you'll be eligible for medical, dental, vision and mental health benefits that you can tailor to your specific needs. Plus, as a Bell team member, you'll enjoy a 35% discount on our services and access exclusive offers from our partners.

At Bell, we are proud of our focus on fostering an inclusive and accessible workplace where all team members feel valued, respected, supported, and that they belong.

Bell is committed to clarity in our hiring process. All roles posted are opportunities we’re actively recruiting for, unless stated otherwise. We also want to make sure that everyone has an equal opportunity to join our team. We encourage individuals who may require accommodations during the hiring process to let us know. For a confidential inquiry, email your recruiter or [email protected] to make arrangements. If you have questions or feedback regarding accessibility at Bell, we invite you to complete the Accessibility feedback form or visit our Accessibility page for other ways to contact us.

Artificial intelligence may be used to assess parts of your application. Please review our privacy policy (see Phenom for details) to learn more about how we collect, use, and disclose your personal information.

Created: Canada, ON, Mississauga

Bell, one of Canada's Top 100 Employers.

Apply Now

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java full stack developer hybrid / jobs in mississauga, on

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