Senior Team Lead, Data Engineer (Work from Home)

Drive innovation in cybersecurity, software development, and big data technology as part of our award-winning IT team. You can play a critical role as part of a global agile team for Bell Canada, Canada’s largest telco, media, and tech company. 

We know our success is fueled by our people, so we empower our Qmunity and provide a workplace where you can flourish and grow. We offer premium benefits, including: 

• Home-based setup 
• Miscellaneous allowances, performance-based bonus, and yearly increase 
• HMO from day 1 for you + 2 free dependents 
• 6 months paid maternity/paternity leave 
• Company-sponsored training and upskilling, and career growth opportunities! 

• Lead, mentor, and inspire a team of data engineers to design, develop, and operate highly performant data pipelines for Bell.  
• Foster a collaborative and end-to-end performance driven team culture by promoting Agile practices while instilling DevOps processes across the team.
• Drive the design, development, and optimization of data pipelines for reliability, scalability, cost efficiency, and end-to-end performance assurance.
• Collaborate with cross-functional teams to align team initiatives with business objectives.
• Facilitate effective communication, decision-making, and incident resolution across the team.
• Provide multi-cloud technical expertise across on-premise (Bell) and Google Cloud Platform (GCP) environments.
• Lead the continuous improvement of DevOps practices, ensuring seamless integration of development and operations efforts across the team.
• Contribute to the development of data systems disaster recovery plans and conduct regular compliance validation drills.
• Monitor and track project progress, identify risks, and implement mitigation strategies to ensure successful delivery.
• Utilize Confluence and Jira to manage and track projects, ensuring transparency and visibility into the development process.

• Bachelor’s degree in computer science, Software Engineering, or related field; advanced degree preferred.
• 5+ years’ experience leading data engineering and operations teams in a DevOps environment.
• Strong leadership skills with a passion for developing high performance teams. 5+ years
• Expertise in both on-premises (e.g. Hadoop, Kubernetes, Kafka, etc.) and cloud-based data technologies, with a focus on Google Cloud Platform.
• Strong proficiency in Scala, Spark, Kafka, SQL/NoSQL, Shell scripting, Python, etc. ideally 5+ years’ experience (3 years would be entertained)
• Hands-on experience building data pipelines in Java and Python, ideally 5+ years’ experience (3 years would be entertained)
• Hands-on experience in data pipeline performance management, with a focus on end-to-end reliability, resource efficiency, and observability. ideally 5+ years experience (3 years would be entertained)

Nice to have:

• Knowledge of Agile Scrum, DevOps, and Lean Management practices.
• Stay current with industry trends and best practices in DevOps.
• Strong proficiency project management tools such Confluence and Jira.
• Strong facilitation and conflict resolution skills, with the ability to build consensus and influence decision-making.
• Proven experience in software architecture and design, driving the technical direction of projects.
• Fluent in English, both verbal and written, with excellent communication skills.

 You will thrive in this role if you have:

• Cloud data or architecture certifications in GCP, AWS, or Azure

If you’re ready to take the next step in your career, APPLY NOW! 

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