Design and own the SRE function for Level 1 data ingestion across all GCP deployments: alert policy design, SLO definition, incident management, and on-call operations * Eliminate manual data quality ...
Design and own the SRE function for Level 1 data ingestion across all GCP deployments: alert policy design, SLO definition, incident management, and on-call operations * Eliminate manual data quality ...
Design and own the SRE function for Level 1 data ingestion across all GCP deployments: alert policy design, SLO definition, incident management, and on-call operations * Eliminate manual data quality ...
Design and own the SRE function for Level 1 data ingestion across all GCP deployments: alert policy design, SLO definition, incident management, and on-call operations * Eliminate manual data quality ...
Join our team and what we'll accomplish together The Data Engineering and Metadata Management team is on a continuous journey toward helping TELUS become a world-class leader in data solutions by ...
Join our team and what we'll accomplish together The Data Engineering and Metadata Management team is on a continuous journey toward helping TELUS become a world-class leader in data solutions by ...
Data Engineer
Edmonton, AB · On-site
CA$3.15K - CA$3.93K/wk
Design, implement, and maintain complex data engineering solutions for acquiring, preparing, and structuring data. * Develop and manage scalable data pipelines integrating data across systems ...
Data Engineer
Edmonton, AB · On-site
CA$3.15K - CA$3.93K/wk
Design, implement, and maintain complex data engineering solutions for acquiring, preparing, and structuring data. * Develop and manage scalable data pipelines integrating data across systems ...
Provide mentorship to a team of data engineers, software developers, and data scientists with a ... Embed data management leading practices, including data architecture design and data modeling ...
New
Provide mentorship to a team of data engineers, software developers, and data scientists with a ... Embed data management leading practices, including data architecture design and data modeling ...
New
Join our team and what we'll accomplish together The Data Engineering and Metadata Management team is on a continuous journey toward helping TELUS become a world-class leader in data solutions by ...
Join our team and what we'll accomplish together The Data Engineering and Metadata Management team is on a continuous journey toward helping TELUS become a world-class leader in data solutions by ...
Join our team and what we'll accomplish together The Data Engineering and Metadata Management team is on a continuous journey toward helping TELUS become a world-class leader in data solutions by ...
Join our team and what we'll accomplish together The Data Engineering and Metadata Management team is on a continuous journey toward helping TELUS become a world-class leader in data solutions by ...
Provide mentorship to a team of data engineers, software developers, and data scientists with a ... Embed data management leading practices, including data architecture design and data modeling ...
Provide mentorship to a team of data engineers, software developers, and data scientists with a ... Embed data management leading practices, including data architecture design and data modeling ...
The ideal candidate(s) will have a strong foundation in data engineering practices, combined with ... Manage data lakes and warehouses with proper governance. Apply security best practices, including ...
Quick apply
The ideal candidate(s) will have a strong foundation in data engineering practices, combined with ... Manage data lakes and warehouses with proper governance. Apply security best practices, including ...
Apply CI/CD and engineering best practices (version control, automated deployment, testing, and release management) to data engineering workflows. * Establish and operationalize governance using ...
Apply CI/CD and engineering best practices (version control, automated deployment, testing, and release management) to data engineering workflows. * Establish and operationalize governance using ...
... for dedicated data engineering and data product expertise. The Data Product Analyst role is ... Work with the Data Architect and manage data lakes and structured storage solutions using Azure ...
Quick apply
... for dedicated data engineering and data product expertise. The Data Product Analyst role is ... Work with the Data Architect and manage data lakes and structured storage solutions using Azure ...
Formal training and/or accreditation in data management / engineering is preferred. * Formal training and/or accreditation in cloud engineering is preferred. * Formal training and/or accreditation in ...
Formal training and/or accreditation in data management / engineering is preferred. * Formal training and/or accreditation in cloud engineering is preferred. * Formal training and/or accreditation in ...
Formal training and/or accreditation in data management / engineering is preferred. * Formal training and/or accreditation in cloud engineering is preferred. * Formal training and/or accreditation in ...
Formal training and/or accreditation in data management / engineering is preferred. * Formal training and/or accreditation in cloud engineering is preferred. * Formal training and/or accreditation in ...
Apply CI/CD and engineering best practices including version control, automated deployment, testing ... Every hiring decision is made by our hiring managers and recruitment professionals, who are ...
Apply CI/CD and engineering best practices including version control, automated deployment, testing ... Every hiring decision is made by our hiring managers and recruitment professionals, who are ...
Sr. Data Engineer
Calgary, AB · On-site
Apply software engineering best practices, including version control, branching strategies, peer ... manage tasks effectively within sprint commitments. * Contribute to documentation, knowledge ...
New
Quick apply
Sr. Data Engineer
Calgary, AB · On-site
Apply software engineering best practices, including version control, branching strategies, peer ... manage tasks effectively within sprint commitments. * Contribute to documentation, knowledge ...
New
Sr. Data Engineer
Calgary, AB · On-site +1
Apply software engineering best practices, including version control, branching strategies, peer ... manage tasks effectively within sprint commitments. * Contribute to documentation, knowledge ...
Sr. Data Engineer
Calgary, AB · On-site +1
Apply software engineering best practices, including version control, branching strategies, peer ... manage tasks effectively within sprint commitments. * Contribute to documentation, knowledge ...
... engineers, analytics teams, and business stakeholders to define and implement best-in-class data ... Define and manage data structures within Databricks (Delta Lake) * Ensure models support ...
... engineers, analytics teams, and business stakeholders to define and implement best-in-class data ... Define and manage data structures within Databricks (Delta Lake) * Ensure models support ...
... management of data as a University resource. About the Role This position, reporting to the ... Responsibilities Data Engineering Design, develop, and implement Microsoft Fabric data lakes ...
... management of data as a University resource. About the Role This position, reporting to the ... Responsibilities Data Engineering Design, develop, and implement Microsoft Fabric data lakes ...
... management. * Strong knowledge of algorithms and data structures, plus systems engineering fundamentals, reliability, performance, and debugging. * Hands on experience with data engineering platforms ...
... management. * Strong knowledge of algorithms and data structures, plus systems engineering fundamentals, reliability, performance, and debugging. * Hands on experience with data engineering platforms ...
Data & AI Architect
CA$118.70K - CA$168.70K/yr
Data Platform Engineering * Design and oversee modern data platforms using technologies such as ... Guide teams on best practices in data quality, metadata management, and lineage. AI & Machine ...
Data & AI Architect
CA$118.70K - CA$168.70K/yr
Data Platform Engineering * Design and oversee modern data platforms using technologies such as ... Guide teams on best practices in data quality, metadata management, and lineage. AI & Machine ...
Manager Data Engineering information
What are the key skills and qualifications needed to thrive as a Manager Data Engineering, and why are they important?
To thrive as a Manager Data Engineering, you need expertise in data architecture, advanced analytics, and leadership, typically supported by a degree in computer science or a related field. Familiarity with big data tools (like Hadoop, Spark), data warehousing systems, cloud platforms (AWS, Azure), and certifications such as AWS Certified Data Analytics are highly valued. Strong communication, problem-solving, and team management skills help drive project success and foster collaboration. These skills ensure effective data solutions, alignment with business goals, and the ability to lead and grow high-performing engineering teams.
How does a Manager of Data Engineering typically collaborate with data scientists and business stakeholders?
A Manager of Data Engineering often serves as a bridge between technical teams and business stakeholders. They work closely with data scientists to ensure that data pipelines and infrastructure meet analytical needs, while also translating business requirements into actionable engineering solutions. Regular coordination meetings, clear documentation, and cross-functional projects are common, enabling seamless collaboration and alignment on goals. This role requires strong communication skills and the ability to balance technical priorities with business objectives.
What are Manager Data Engineering roles and responsibilities?
A Manager Data Engineering oversees teams that design, build, and maintain data infrastructure and pipelines for organizations. They are responsible for ensuring the efficient flow and storage of data, implementing best practices in data management, and collaborating with stakeholders to meet business data needs. Additionally, they mentor and guide data engineers, manage project timelines, and ensure data security and quality standards are met. Their role often involves strategic planning to enable data-driven decision making across the company.
What is the difference between Manager Data Engineering vs Data Engineer?
| Aspect | Manager Data Engineering | Data Engineer |
|---|---|---|
| Required Credentials | Bachelor's or Master's in CS, Data Science, or related; often leadership experience | Bachelor's or higher in CS, IT, or related; technical certifications optional |
| Work Environment | Team leadership, project management, strategic planning | Data pipeline development, coding, data modeling |
| Employer & Industry Usage | Tech companies, finance, healthcare, where data teams are common | Data-focused roles across various industries |
The main difference is that Manager Data Engineering oversees data teams and projects, focusing on strategy and leadership, while Data Engineers handle the technical implementation of data pipelines and infrastructure. Managers typically have more experience and leadership skills, whereas Data Engineers are more hands-on with coding and data architecture.
What are the most commonly searched types of Data Engineering jobs in Alberta? The most popular types of Data Engineering jobs in Alberta are:
What are popular job titles related to Manager Data Engineering jobs in Alberta? For Manager Data Engineering jobs in Alberta, the most frequently searched job titles are:
What job categories do people searching Manager Data Engineering jobs in Alberta look for? The top searched job categories for Manager Data Engineering jobs in Alberta are:
Other
Posted 22 days ago
TELUS rating
8.0
Based on 9 frontline employees who took The Breakroom Quiz
19th of 76 rated telecommunications companies
Job description
Join our team and what we'll accomplish togetherDescription
The Enterprise Analytics Platform team at TELUS is undergoing an exciting transformation. We are restructuring around a product ownership mindset, and we're building a world-class Data Foundations function that will become the backbone of data ingestion across TELUS Health, Digital, Agriculture and the broader organization.
As Manager of Data Foundations, you'll consolidate multiple Google Cloud Platform (GCP) deployments into a unified, standardized operating model. You'll own the operational transition of our data ingestion services moving from fragmented, deployment-specific teams to a cross-trained organization that serves the entire business. But more than a transformation program, you will be directly accountable for the reliability, freshness and correctness of production data pipelines at scale.
This role is for an engineering leader who builds and runs things, not someone who facilitates others doing it. You raise the technical bar by example, reviewing architecture, improving on-call practices, eliminating manual work through better engineering; and you develop the next generation of strong engineers on your team.
What you will do
Platform Operations & Site Reliability
- Accountable for the uptime, freshness, and quality of TELUS's data ingestion layer through production system ownership
- Design and own the SRE function for Level 1 data ingestion across all GCP deployments: alert policy design, SLO definition, incident management, and on-call operations
- Eliminate manual data quality checks through engineering; build automated assurance into the platform itself
Develop People
- Build and lead a team of 10-13 FTEs with a cross-training model that eliminates single-deployment dependencies and creates engineers who can own any system, handle any incident
- Invest in technical growth through coaching, stretch assignments, and mentorship-you set the standard for what good engineering looks like, and people get better because of you
- Guide offshore development and tier-1 support teams, ensuring end-to-end capability delivery; your success is measured by what the full team can do without you
Raise the Technical Bar
- Review and correct architectural designs across the platform; you set the standard for what good engineering looks like and your technical judgment is a quality gate
- Establish and enforce best practices in IaC, pipeline design, Kubernetes operations, and streaming data patterns
- Drive the multi-deployment consolidation: one operating model, one onboarding standard, one SRE function-executed with engineering rigour
Onboarding & Self-Serve Tooling
- Be responsible for establishing foundational data pipelines while owning the onboarding standard and self-serve tooling to empower business units to develop their own data ingestion capabilities
- Build and execute prioritized onboarding roadmap that reduces onboarding time to accelerate time-to-value for business units
- Work across multiple business units (Health, Digital, Agriculture, Telecom) to understand and support their data ingestion needs
Stakeholder Management & Influence
- Work across multiple business units and technical teams, building influence without formal authority
- Partner with the Analytics Platform team (BI, Looker, Tableau, query platforms) to ensure seamless data flow
- Communicate technical complexity to non-technical stakeholders and translate business needs into platform roadmap priorities
What you bring
- Hands-on experience in data engineering or platform engineering (pipelines, infrastructure, Infrastructure as Code); you can review and improve the work, not just manage it
- Deep experience with Kafka and streaming data movement patterns
- Strong GKE/Kubernetes experience with ability to review and correct architectural designs
- Strong grounding in alert policy design, SLO definition, incident management, and on-call operations
- Proven track record managing complex technical transitions and building operational discipline
- Experience consolidating or unifying fragmented systems into a cohesive operating model
- 3+ years experience managing technical teams (ideally 8+ people) with a focus on cross-training and eliminating silos, and developing technical talent
- Comfort with distributed teams and experience managing offshore or remote team members
- Ability to develop technical talent and foster a culture of learning and accountability
- Comfort working across multiple business units and building influence without formal authority
- Strong communication skills, able to translate technical complexity for non-technical audiences
Great-to-Haves
- Experience with Google Cloud Platform (GCP) and BigQuery at scale
- Familiarity with data mesh or data platform architecture patterns
- Experience with product-oriented team structures or product management mindsets
- Background in a regulated industry (healthcare, telecommunications) or experience with compliance-driven data requirements
- Experience building self-serve platforms or developer experience (DX) improvements
- Exposure to agile or lean methodologies in an operations context