Ingénieur(e) données concevant des pipelines et architectures analytiques Azure. Collaboration client et amélioration des standards de gouvernance, qualité et performance des données.
Responsibilities
Design, develop and maintain robust data pipelines within the Microsoft ecosystem (Fabric, Synapse, Data Factory, Azure Functions)
Work directly with clients to understand their needs, propose appropriate technical solutions, and manage project follow-up
Document technical and functional architectures, data transformations and processes
Contribute to establishing engineering standards related to code quality, data quality, CI/CD, security and performance
Collaborate with other engineers to deliver stable, optimized and scalable solutions
Provide technical mentorship to colleagues and share best practices in data engineering and architecture
Implement data extraction processes via various APIs to integrate external data
Oversee deployments, operational costs and the performance of cloud solutions
Design and implement data governance and quality strategies, including metadata, security, privacy and cataloging
Stay up to date on cloud platforms, analytical architecture modernization and data governance
Requirements
More than 5 years of experience in a similar role. Consulting experience or work in a multi-client environment is an asset
Strong proficiency in Python and SQL
Experience with Spark and modern analytical architectures (ELT, medallion, star schema)
Experience in the Microsoft Azure ecosystem (Functions, Storage, Fabric, Synapse, Data Factory)
Excellent communication skills in French and English
Rigor, curiosity and attention to detail
Strong results orientation and a strong customer-service focus
Experience with Snowflake, BigQuery or dbt (asset)
Microsoft certifications (Azure, Fabric, Power BI) (asset)
Benefits
Competitive salary and contribution to your retirement savings plan (RRSP)
Flexible schedule and autonomy in how you work
Ability to work from anywhere for up to 8 weeks per year
Data Engineer building scalable Databricks ingestion pipelines for Irth Solutions’ infrastructure - protection SaaS. Supporting stakeholder - engagement analytics, LLM/NLP pipelines, and downstream data models.
Senior Databricks Architect needed for contract role in Winnipeg, MB. Must have Azure Databricks, PySpark, and Azure DevOps expertise; onsite mandatory.
Data Engineering Developer building scalable Azure data pipelines for an agile tech development firm. Advising clients, implementing governance, and improving cloud data engineering standards.
Junior Data Engineer building reliable ETL pipelines and data solutions for PLATO, Canada’s Indigenous - owned technology services company. Improving data quality, accessibility, governance, and pipeline performance.
Senior Data Engineer building scalable, AI - powered data infrastructure for CloudBlue, HostPapa’s cloud commerce platform. Developing real - time pipelines, APIs, and production analytics systems.
Senior Fabric Data Engineer modernizing enterprise data for Canadian IT consulting clients. Building Microsoft Fabric pipelines, curated datasets, security controls, and analytics - ready models.
Staff Data Engineer building scalable pipelines and lakehouse architecture for Sonatype, a software supply chain security company. Driving trusted analytics, ML, and business intelligence data with Databricks, Spark, and modern cloud technologies.
Senior Fabric Data Engineer modernizing learning - platform data for Cornerstone Galaxy. Building Microsoft Fabric pipelines, curated datasets, governance, and analytics - ready integrations.
GCP Data Platform Engineer maintaining and optimizing production data platforms for Innodata, a global data engineering and AI services company. Supporting Airflow pipelines, GCP infrastructure, reliability, and troubleshooting.