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Data • canada

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Data Engineer, Data Innovation

MNPCalgary, AB, Canadá
Temps plein

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 impac... Voir plus

Data Scientist

0000050007 Royal Bank of CanadaHALIFAX, Nova Scotia, Canada
Temps plein

RBC is a global leader in applying Artificial Intelligence (AI) in the banking sector in order to create value for our clients, with capabilities ranging from LLM-powered digital banking to voice a... Voir plus

Data - Azure Data Engineer

E-SolutionsToronto, ON
Temps plein

Data Engineer who can develop, test, run, maintain, and migrate data pipelines.Essential skills include Azure Databricks, Azure Data Factory, GitHub Actions CI/CD, building APIs with Python FastAPI... Voir plus

Data Developer

SafelyYouMontreal, CA
Télétravail
Temps plein
Quick Apply

SafelyYou is working to ensure the highest-quality care for seniors in any care setting, anywhere in the world, driven by proven AI, unmatched clinical expertise, and an immeasurable passion for ca... Voir plus

Data Engineer

Glint Tech Solutions LLCToronto, ON, Canada
Temps plein
Quick Apply

We're hiring a hands-on Data Engineer to join the Total Fund Management Portfolio Management Technology team.The role focuses on building and optimizing large-scale cloud data systems with Spark/Py... Voir plus

Data Analyst

LyftToronto, Canada
83 800,00 $CA par an
Temps plein

At Lyft, our purpose is to serve and connect.We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive.The Driver Earnings team at Ly... Voir plus

Data Analyst

SnaphuntCanada
Temps plein

As a Data Analyst, you will play a crucial role in transforming data into actionable insights that drive business decisions.You will work closely with various teams to analyze data trends and provi... Voir plus

Data Engineer

Tiger Analytics Inc.Toronto, ON, CA
Télétravail
Temps plein
Quick Apply

Tiger Analytics is a fast-growing advanced analytics consulting firm.Our consultants bring deep expertise in Data Science, Machine Learning and AI.We are the trusted analytics partner for several F... Voir plus

Data Engineer

Rodan Energy SolutionsOshawa, CA
25,00 $CA par heure
Temps plein

We are currently requesting resumes for the following position.Tuesday, April 28th, (5:00PM EST).CHQ Colonel Sam Drive, Oshawa.As an Azure and Databricks Data Engineer, you will be responsible fo... Voir plus

Data Scientist/Data Engineer

hireVouchToronto, Ontario, USA
Temps plein

Data Scientist (AI & Data Engineering) – External Data & Intelligent Insights.Our client is a global real estate investor, developer, and manager connects people to exceptional places across the of... Voir plus

Data Analyst

ONSITE Therapy SolutionsCanada
Temps plein

As a Data Analyst, you will play a crucial role in transforming data into actionable insights that drive business decisions.You will work closely with various teams to analyze data trends and provi... Voir plus

Data Engineer

Graebel Companies Inc.REM, CA
Temps plein

This role is based in Ontario, Canada.Are you ready to open a world of opportunity in talent mobility? Our clients include some of the largest and most recognized brands in the world.They’re ... Voir plus

Data Engineer

Motion RecruitmentToronto, ON, Canada
Temps plein

Located in Toronto, ON (fully onsite), this opportunity is with a fast-growing data and technology-focused organization helping businesses better leverage their data.They are hiring a full-time Dat... Voir plus

Data Analyst

Orion DigitalVancouver, BC, CA
75 000,00 $CA par an
Temps plein
Quick Apply

Data Analyst Location: Remote (Canada) Department: Data & Analytics Reports To: Manager, Data Integration & Architecture Base Salary: $75,000 – $90,000 CAD About the Role Orion is loo... Voir plus

Data Analyst | Data Storytelling | Hybrid

Randstad CanadaMississauga, Ontario, CA
Permanent
Quick Apply

We are seeking a Data Analyst – Marketing to support our digital marketing and analytics initiatives.This role plays a crucial part in collecting, analyzing, and interpreting data from various digi... Voir plus

Data Consultant, Enterprise Data & Analytics

StantecQuébec, QC
68 200,00 $CA par an
Temps plein +1

At Stantec, we have some of the world’s leading professionals passionate about enabling our business to be its best.Our business teams include finance, procurement, human resources, information tec... Voir plus

 • Nouvelle offre

Data entry

Falmouth Ice ArenaCanada
Temps plein

As a Data Entry professional, you will play a crucial role in maintaining accurate and up-to-date information within our systems.You will be responsible for inputting, updating, and managing data e... Voir plus

Data Scientist

VDart IncON, Canada
Temps plein +1
Quick Apply

Title:</b> Data Scientist</p> <p><b>Location:</b> Canada-Remote<br /> <b>Employment Type:</b> Fulltime Permanent</p> <p> </p> <... Voir plus

Data Engineer, Data Innovation

Data Engineer, Data Innovation

MNPCalgary, AB, Canadá
Il y a 4 jours
Type de contrat
  • Temps plein
Description de poste

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 solutions
  • Design, build, and maintain data pipelines using Databricks (Delta Lake / Lakehouse) and Microsoft Fabric capabilities
  • Support development of a hybrid data platform architecture, integrating cloud (Azure / Fabric) and on-premises or legacy systems
  • Implement data ingestion and transformation workflows using Databricks Workflows / Jobs, Spark Declarative Pipelines, and Microsoft Fabric Data Factory / ADF
  • Contribute to the evolution of our Lakehouse architecture, including Medallion (Bronze/Silver/Gold) patterns
  • Work 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 features
  • Support CI/CD practices and deployment using Azure DevOps or Git-based workflows
  • Monitor and improve pipeline performance, reliability, and cost efficiency
  • Participate in experimentation with emerging capabilities such as AI/ML workflows, LLM integrations, and real-time data processing

Skills and Experience

  • 2 - 5 years of experience in Data Engineering, Analytics Engineering, or related roles
  • Bachelor’s degree in computer science, Engineering, or a related field
  • Experience 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 design
  • Familiarity with Lakehouse architecture and data modeling concepts
  • Ability to work collaboratively in a fast-paced, innovation-focused team
  • Effective communication skills with both technical and non-technical stakeholders
  • Experience working with APIs and ingesting external data sources
  • Basic understanding of DevOps practices (CI/CD, Git, version control)
  • Any of the following would be considered an asset: Exposure to Microsoft Fabric (OneLake, 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