Data Engineer building data integration pipelines for data lakes and warehouses. Collaborating with stakeholders to meet business requirements in a leading publishing company.
About the role
- Senior Data Engineer driving end-to-end implementation of Microsoft Fabric. Leading data architecture design and technical solutions for data transformation.
Responsibilities
- Drive the end-to-end implementation of Microsoft Fabric across the organization.
- Lead the setup of ETL/ELT pipelines, design and implement the bronze, silver, and gold layers of our data Lakehouse.
- Oversee the configuration of key Fabric components including Data Factory, One Lake, and Power BI.
- Explore advanced capabilities such as Microsoft Copilot to accelerate analytics and automation.
- Collaborate with the Data & Analytics (D&A) team and business stakeholders to translate business needs into scalable data architecture.
- Build and optimize ETL/ELT pipelines using Microsoft Data Factory, Dataflows Gen2, and Fabric Data Engineering environments.
- Engage with executives and functional leaders to establish metrics, strategies, and implement roadmaps for enterprise-wide analytics.
- Curate and maintain a repository of data architecture principles, design patterns, and reusable components for data engineers and integrators.
Requirements
- Minimum 7+ years of professional IT experience across multiple organizations
- Proven track record in end-to-end data platform implementations, preferably within the Microsoft Azure and Fabric ecosystem.
- Expertise in Data Strategy and Architecture (strongly desired)
- Data Lakehouse / Data Warehouse design
- ETL/ELT frameworks and orchestration
- Data Integration and Management
- Data Quality, MDM, and Enrichment
- Business Intelligence and Analytics (Power BI, Fabric Warehouse)
- Hands-on experience with Microsoft Synapse, Azure Data Factory, SQL, Spark, and data modeling tools.
- Exceptional communication, presentation, and stakeholder management abilities.
- Strong collaboration and relationship-building skills across technical and non-technical teams.
- Bilingual proficiency in French, Spanish or German is preferred.
Benefits
- Financial support for professional development and training
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
Report this job
Found something wrong with the page? Please let us know by submitting a report below.
LP
Principal Data Engineer
LinkedIn Recruiter Post
Principal Data Engineer with 10+ years experience, strong AWS skills. Design large - scale data platforms in hybrid Toronto role.
Google Cloud Data Engineer implementing data ingestion and analytics frameworks at Fueled. Specializing in Google Cloud Platform and modern data modeling.
Consulting Senior Data Architect specializing in Microsoft Fabric solutions for digital products. Engage in hands - on delivery, architecture, and governance for data engineering in a remote capacity.
Data Engineer at Motive delivering data infrastructure for the AI era. Collaborating with stakeholders, building models, and implementing innovative tooling.
Data Architect designing and governing data foundations for analytics and AI applications at Clio. Collaborating cross - functionally to develop high - quality data models and standards.
LP
IAM / Data Engineer
LinkedIn Recruiter Post
IAM/Data Engineer role in Toronto (Hybrid). Requires 4+ years in ETL, data pipelines, cloud platforms, and skills in Windows IAM, Ansible, Terraform, SQL, Python/Java, Spark/Kafka.
Data Migration Specialist managing client data migrations to gaiia's platform. Collaborating with teams to ensure accurate and timely data transitions.
Senior Data Architect/Strategist at Robots & Pencils blending advanced data knowledge with problem solving to drive intelligent products and smarter business decisions.
Principal Data Architect at PointClickCare ensuring coherent and scalable data architecture. Driving unified data direction while collaborating with Engineering Architecture team for AI enablement.