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Redpath Bruce

Data Team Lead

Redpath Bruce

Data Team Lead coordinating data engineering and reporting capabilities for mining industry projects. Guiding a team while ensuring timely delivery aligned with project priorities in a hybrid work environment.

Posted 7/6/2026full-timeVaughan • 🇨🇦 CanadaSeniorWebsite

Tech Stack

Tools & technologies
AzureSQL

About the role

Key responsibilities & impact
  • Coordinate day-to-day delivery activities across Data Engineers and Power BI Developers.
  • Translate project priorities into actionable work items and support backlog execution.
  • Work closely with the Project Manager on planning, sequencing, and tracking of technical deliverables.
  • Ensure alignment between technical work and project timelines, milestones, and dependencies.
  • Identify and help resolve delivery risks, blockers, and dependencies.
  • Contribute directly to development of data pipelines, transformations, and datasets as needed.
  • Support implementation of data solutions aligned with established architecture and design.
  • Assist in troubleshooting data issues and ensuring reliability of delivered solutions.
  • Provide guidance to team members on implementation approaches, standards, and best practices.
  • Support consistency in data modeling, pipeline design, and development practices.
  • Participate in design discussions with the Data Architect and contribute practical input based on delivery experience.
  • Support onboarding and mentoring of Data Engineers and Power BI Developers.
  • Encourage knowledge sharing and continuous learning within the team.
  • Provide input on performance, growth, and capability development.
  • Work with business stakeholders as needed to clarify requirements and support delivery.
  • Participate in working sessions, demos, and reviews to validate outputs.
  • Ensure delivered solutions are aligned with business needs and usable for reporting and analysis.
  • Promote good practices in data quality, validation, and monitoring.
  • Identify opportunities to improve reliability, performance, and maintainability of data solutions.
  • Support incremental improvement of data assets and processes.
  • Support implementation of data governance practices, including metadata, lineage, access control, and data quality.
  • Apply established standards and decision frameworks for shared KPIs, hierarchies, and reporting usage.
  • Contribute to master data alignment (e.g., projects, equipment, locations, cost codes) in collaboration with the Data Architect and business stakeholders.
  • Support implementation of security models (e.g., row-level security in Power BI) and ensure adherence to organizational, safety, and regulatory requirements.
  • Maintain confidentiality with respect to Redpath business and vendor information.
  • Support other members of the Corporate IT teams as required.

Requirements

What you’ll need
  • 6–10+ years of experience in data engineering, analytics, or related roles.
  • Experience delivering data solutions in project or program environments.
  • Experience guiding or supporting junior team members is an asset.
  • Strong hands-on experience with data pipelines, transformation, and reporting datasets.
  • Bachelor’s degree in Computer Science, Data/Software Engineering, Information Systems, or Mining/Construction Engineering; equivalent experience considered.
  • Advanced degree or relevant certifications (e.g., Azure/Data Engineering, Power BI) are an asset.
  • Strong SQL and data transformation skills.
  • Experience with modern data platforms (e.g., Microsoft Fabric, Azure Data Factory, DataBricks or similar).
  • Experience supporting reporting solutions (e.g., Power BI semantic models).
  • Understanding of data modeling and integration patterns.
  • Familiarity with DevOps/DataOps practices.

Benefits

Comp & perks
  • Overtime may be required to meet project deadlines
  • International travel as required for the purpose of meeting with clients, stakeholders, or off-site personnel/management.

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Hard Skills & Tools
Data EngineeringData TransformationData ModelingData Integration PatternsData Quality MonitoringData Governance PracticesReporting DatasetsData Solutions DeliveryMetadata ManagementRow-Level Security
Soft Skills
Team MentoringKnowledge SharingProblem SolvingCollaborationCommunication
Certifications
Azure Data Engineering CertificationPower BI Certification