Category

Technology

Job Id

428457

**Req Id:**428457

Connection is everything. It drives us to innovate, explore, and stay close to what matters to us most. At Bell, we’re building a more connected future through world-class networks, AI-powered solutions, and digital experiences that elevate how people live, work, and play every day.

We believe in empowering people. That’s why we equip our teams with cutting-edge technology, AI tools, and a collaborative environment that supports creativity and growth. Want to be part of a diverse team where your work makes a real impact? If you’re inspired by innovation that advances how people connect and transforms what’s possible, you belong on #TeamBell.

##Summary

We are seeking a Senior Data Engineer to deliver solutions that enhance Finance efficiencies and insights. In this role, you will blend technical, Business Intelligence, and Finance expertise to build tools that improve reporting speed and accuracy—empowering Finance Operations to better analyze, predict, and optimize business results. You will develop solutions that combine, transform, analyze, and share financial results and performance KPIs, leveraging large datasets to drive actionable insights.

This role offers exposure to Finance, Data Engineering, BI, and visualization, using modern enterprise technologies to evaluate operational strategies and forecast financial impacts.You will also communicate with senior Finance leaders and champion the Finance DEAI vision, ensuring the delivery of accurate, high‑value information to key stakeholders whether working independently or leading a team.

##Key Responsibilities

• Create and maintain optimal data pipeline architecture.
• Assemble large, complex datasets that meet functional and non-functional business requirements.
• Build the infrastructure required for optimal extraction, transformation, and loading (ETL) of data from a wide variety of sources using SQL and big data technologies.
• Identify, design, and implement internal process improvements, including automating manual processes, optimizing data delivery, and re-designing infrastructure for scalability.
• Develop analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency, and other key business metrics.
• Create data tools for analytics and data science teams that assist them in building and optimizing our product.
• Collaborate with stakeholders to resolve data-related technical issues and support their data infrastructure needs.
• Partner with data and analytics experts to continuously improve the functionality and performance of our data systems.

##Critical Qualifications

• 5+ years of senior experience working with complex datasets within the telecom industry.
• Graduate degree in Computer Science, Statistics, Informatics, Information Systems, or another quantitative field.
• Advanced knowledge of business wireline products (e.g., NAS, Internet, Broadband/IP).
• Deep understanding of wireline ordering and provisioning systems, such as BCRIS, CSM, EOM, NIBS, SingleView, RevChain, and HOTS.
• GCP Expertise: Strong proficiency with core Google Cloud Platform data services, including BigQuery, Dataflow, Cloud Storage, Pub/Sub, and Cloud Composer.
• Database & Scripting: Advanced knowledge of SAS (specifically PROC SQL) and experience working with relational databases.
• Teradata: Expert-level knowledge of Teradata stored procedures.
• Strategic Leadership: Proven business acumen with the ability to influence stakeholders and act as a trusted advisor to senior management.

##Preferred Qualifications

• Expertise in SQL and practical experience with Python for scripting, automation, and pipeline development. Familiarity with object-oriented languages (Java, C++, Scala) is an asset.
• Experience with big data tools (Hadoop, Spark, Kafka) and cloud computing solutions.
• Experience with Alteryx, SAS Enterprise Guide (EG), SQL Assistant, MS Office, and GCP.
• Experience with data pipeline and workflow management tools.
• Ability to build processes supporting data transformation, data structures, metadata, dependency, and workload management.
• Experience performing root cause analysis on internal/external data and processes to identify improvement opportunities.
• Strong analytical skills related to working with unstructured datasets.
• Knowledge of SAP

Adequate knowledge of French is required for positions in Quebec.

Additional Information:

**Position Type:**Management
**Job Status:**Regular - Full Time
**Job Location:**Canada : Ontario : Toronto || Canada : Ontario : Mississauga
**Work Arrangement:**Hybrid
**Application Deadline:**04/03/2026

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 recruitment@bell.ca 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, Toronto

Bell, one ofCanada's Top 100 Employers.