Req Id: 423530
At Bell, our purpose is to advance how Canadians connect with each other and the world. We achieve this by providing consumers and businesses with the best network technologies in the world, innovative digital solutions and seamless customer experiences. It’s all developed and delivered by the members of #TeamBell and we’re always on the lookout for people with great skills and experiences.
We value diversity and provide a supportive, inclusive community where all team members can succeed. And through our commitment to environmental, social and governance initiatives, you will feel good about the greater impact you will have – making every day better for people as they connect, work, learn and play.
Join us. You belong at Bell.

SUMMARY

We are seeking a highly skilled and motivated Data Engineering Developer II to join our growing team. The ideal candidate will have a proven track record of designing, developing, and maintaining robust and scalable data pipelines. This role requires a strong understanding of ETL processes, data warehousing principles, and cloud technologies. You will be responsible for the entire lifecycle of data management and processing systems, from design and development to testing and maintenance. This position requires a strong understanding of both batch and streaming data processing techniques.

CRITICAL QUALIFICATIONS

• Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent experience.
• 3+ years of experience in data engineering, with a focus on hybrid cloud environments.
• Expertise in one or more programming languages such as Python, Java, or Scala.
• Proficiency in SQL and experience with relational and NoSQL databases.
• Proven experience with batch and streaming data pipelines using Spark, Python, or Apache Beam.
• Experience with Google Cloud Platform (GCP) services, including Data Fusion, Dataproc, BigQuery, Cloud Storage, and Data Catalog.
• Experience with on-premises environments (e.g., SAS, Teradata, Oracle, SQL Server) and migrating data to the cloud.
• Experience transforming raw data into curated, actionable data elements for data-consuming teams and applications.
• Experience with data warehousing concepts and methodologies.
• Experience with data governance, security, and compliance best practices.
• Experience with version control systems (e.g., Git).
• Excellent problem-solving and analytical skills.
• Strong communication and collaboration skills.
• Ability to work independently and as part of a team.

PREFERRED QUALIFICATIONS

• Certifications related to cloud platforms (e.g., GCP, AWS, Azure) or data engineering
• Experience with data visualization tools (e.g., MicroStrategy, Tableau, Power BI).
• Experience with big data volumes and cost-efficient processing.
• Familiarity with CI/CD pipelines.
• Interest and exposure to leveraging AI for Data Engineering.
  

  EmployeeReferralProgram

Adequate knowledge of French is required for positions in Quebec.

KEY RESPONSIBILITIES

• Design and implement scalable and robust data pipelines using on-premises and cloud-native technologies (e.g., GCP, AWS, Azure).
• Develop and maintain ETL/ELT processes for ingesting, transforming, and loading data from various sources (on-premises and cloud-based).
• Build and optimize data models for efficient data storage, retrieval, and analysis.
• Identify and resolve technical debt and performance bottlenecks.
• Collaborate with data scientists and business stakeholders to understand data requirements and translate them into technical solutions.
• Lead and manage projects with minimal guidance, determining the impact on existing data structures.
• Participate in short-term and long-term project planning with key stakeholders.
• Develop and maintain comprehensive documentation for data pipelines, models, and processes.
• Implement data governance and security best practices to ensure data quality and compliance.
• Participate in code reviews and ensure adherence to coding standards.
• Contribute to the development and improvement of data engineering best practices within the team.
• Stay current with the latest technologies and trends in data engineering.
• Actively seeks and implements new ideas and innovative solutions, proactively exploring new areas and opportunities for growth.

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.
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 of Canada’s Top 100 Employers