Data Engineer, Data Innovation
Job in
Calgary, Alberta, T3S, Canada
Listing for:
MNP
Full Time
position
Listed on 2026-07-20
Job specializations:
-
IT/Tech
Data Engineering, Data Warehousing, Cloud Computing: Infrastructure & Operations
Job Description & How to Apply Below
Job Details
Description
Inspirational, innovative and entrepreneurial - this is how we describe our empowered teams. Combine your passion with purpose and join a culture that is thriving in the face of change.
Make an impact with our Technology - Development team as a Data Engineer. This diverse team of tech-savvy builders and problem solvers embraces digital transformation, and the possibilities technology brings to the future of our industry. We’re looking for team members who have a strong sense of ownership and drive, and who thrive on delivering high-quality solutions that are redefining the way MNP does business.
MNP is proudly Canadian. Providing business strategies and solutions, we are a leading national accounting, tax and business advisory firm in Canada. Entrepreneurial to our core, our talented team members transcend obstacles into opportunities and are successfully transforming mid-market business practices.
Responsibilities
Collaborate with data engineers, data scientists, BI developers, and business stakeholders to deliver modern data solutionsDesign, build, and maintain data pipelines using Databricks (Delta Lake / Lakehouse) and Microsoft Fabric capabilitiesSupport development of a hybrid data platform architecture, integrating cloud (Azure / Fabric) and on-premises or legacy systemsImplement data ingestion and transformation workflows using Databricks Workflows / Jobs, Spark Declarative Pipelines, and Microsoft Fabric Data Factory / ADFContribute to the evolution of our Lakehouse architecture, including Medallion (Bronze/Silver/Gold) patternsWork with structured and semi-structured data (CSV, JSON, Parquet, APIs)Assist in implementing data governance and access controls using Unity Catalog and Microsoft Purview / Fabric governance featuresSupport CI/CD practices and deployment using Azure Dev Ops or Git-based workflowsMonitor and improve pipeline performance, reliability, and cost efficiencyParticipate in experimentation with emerging capabilities such as AI/ML workflows, LLM integrations, and real-time data processingSkills and Experience
2 - 5 years of experience in Data Engineering, Analytics Engineering, or related rolesBachelor’s degree in computer science, Engineering, or a related fieldExperience with Azure Databricks (Apache Spark, Delta Lake)Strong SQL skills and working knowledge of Python (PySpark preferred)Understanding of ETL/ELT patterns and data pipeline designFamiliarity with Lakehouse architecture and data modeling conceptsAbility to work collaboratively in a fast-paced, innovation-focused teamEffective communication skills with both technical and non-technical stakeholdersExperience working with APIs and ingesting external data sourcesBasic understanding of Dev Ops practices (CI/CD, Git, version control)Any of the following would be considered an asset:
Exposure to Microsoft Fabric (One Lake, Lakehouse, Warehouse, Data Factory) Exposure to hybrid data architectures (cloud + on-prem systems) Experience with Spark Declaratives Pipelines and streaming or near real-time data pipelines Experience with Power BI or Fabric reporting workloads Awareness of data governance, security, and data quality best practices Familiarity with AI/ML or LLM workflows
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