Senior Team Lead, Data Engineer (Work from Home)

Job Locations PH
Requisition Post Information* : Posted Date 3 months ago(1/25/2024 9:40 AM)
Requisition ID
# Of Equipment Required
Category (Portal Searching)
Information Technology


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





Sorry the Share function is not working properly at this moment. Please refresh the page and try again later.
Share on your newsfeed