Manager, Data Engineering and Machine Learning

MNP
Calgary, AB
Full-time

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.

Combine your passion with purpose and join MNP's Data and Analytics team as a Manager, Data Engineering and Machine Learning.

Work with tech-savvy problem solvers who embrace digital transformation and the possibilities technology brings to the future of our industry.

You'll make an impact by designing, developing and maintaining innovative, high-quality solutions that are defining 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

  • Data Engineering
  • Work alongside the Data Science, Technology Development, and business teams in the further development of MNP's Enterprise Analytics program
  • Assist with the development and maintenance of our Azure data platform, which uses a data Lakehouse architecture and utilizes;

Azure Databricks and Delta, Data Factory, Azure Data Lake storage, Azure SQL and Power Platform

  • Play a leadership role in the development of the data architecture, developing a strong understanding of business processes and transforming and modelling data for analytical consumption
  • Develop scripts and stored procedures for data extraction, load, and transformation processes
  • Performance monitor and orchestrate all analytical data related processes
  • Assist with platform monitoring; security, governance (Unity Catalog), pipelines, costs, user access, and related tasks
  • Support CI / CD pipelines in Azure DevOps (YAML)
  • Machine Learning & Data Science
  • Support the data science and ML team with project planning, model / pipeline design and best practices
  • Support the data science and ML team with the productionization of products utilizing the Databricks Intelligence Platform (MLFlow, Model Serving, Feature Store, Vector Search, and related tasks
  • Assist with the design, development and productionization of any new Gen AI / RAG / LLM initiatives

Skills and Experience

  • Five (5) or more years of professional experience in a data engineering, data architecture, or BI development roles
  • Three (3) or more years of hands-on experience using Databricks (Notebooks, Workflows, Lakehouse Architecture, Delta Tables, Delta Live Tables, MLFlow, Vector Search, Feature Store, Unity Catalog, or Lakehouse Federation
  • Experience in data integration, transformation, preparation and data modeling
  • Experience with :
  • ETL / ELT Data pipeline development using ADF
  • Azure SQL server and other Azure cloud data services
  • Azure DevOps CICD Pipelines
  • Power Platform would be considered an asset (Power BI, Power Apps and Power Automate)
  • Strong understanding of Databricks Lakehouse Architecture and best practices
  • Hands on experience working with business intelligence and development teams
  • Willingness to develop a thorough understanding of MNP's services, businesses and industry

With a focus on high-potential earnings, MNP is proud to offer customized rewards that support our unique culture and a balanced lifestyle to thrive at work and outside of the office.

You will be rewarded with generous base pay, vacation time, 4 paid personal days, a group pension plan with 4% matching, voluntary savings products, bonus programs, flexible benefits, mental health resources, exclusive access to perks and discounts, professional development assistance, MNP University, a flexible 'Dress For Your Day' environment, firm sponsored social events and more!

We embrace diversity as a core value and celebrate our differences. We believe each team member contributes unique gifts and amplifying their potential makes our business stronger.

We encourage people with disabilities to apply!

14 hours ago
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