ZipRecruiter

Log In

1

Contract Python Data Analysis Jobs in Montreal, QC

Artefact

Sr Data Analyst

Montreal, QC

... of data analysis and business strategies. We are seeking a candidate who not only possesses ... Python, R, SQL * Tool * * Cloud databases * Amazon Redshift, Microsoft Azure, Google BigQuery ...

Broadsign Careers

Data Analyst

Montreal, QC · Hybrid

Innovation & Independent Analysis: You will take ownership of independent coding and analysis ... You should be comfortable coding in Python and have experience with Snowflake and AWS platforms.

Jay Analytix

Python Developer + Pricing

Montreal, QC · On-site

Role Overview We are seeking a Python Developer with experience in pricing models and banking ... data (interest rates, volatility, curves) * Optimize performance of pricing engines and analytics ...

Averna

Data Analyst (English version)

Montreal, QC · Remote

Data Analyst Role Summary As a Data Analyst, you will support business decision-making by gathering ... analysis, and coding (e.g. SQL, Python, R). * Proven experience creating dashboards, reports, and ...

Cogeco

Analyst, BI & Data

Montreal, QC · Hybrid

Role Overview As a Data Analyst in our Business Intelligence & Analytics team, you will bridge the ... Python skills are a major asset. * Data Modeling: Solid understanding of star schemas, data ...

Levio

Python Developer

Montreal, QC · Hybrid

Levio is currently seeking a Python Developer to contribute to a largescale project based in ... data and infrastructure teams to ensure smooth integration of solutions ; * Analyze technical ...

Giesecke+Devrient

Senior Data Scientist

Montreal, QC

We are seeking a highly analytical and execution-focused Senior Data Scientist to join G+D's new AI ... Hands-on experience with Python, pandas, NumPy, scikit-learn, and SQL * Experience with one or more ...

Tech Talent International

Data Engineer

Montreal, QC · On-site +1

CA$80 - CA$85/hr

Contract 37.5 hrs/week Location: Montreal area, but can be remote Duration: 6 months initially ... SQL Python Understands and puts into practice data modeling, design and development of solid ETL ...

Bounteous

Data Engineer

Montreal, QC · On-site

Strong knowledge of SQL for reporting and data analysis * Have Worked in Agile, DevOps and Git * 3-5 years of experience with Python for ETL and report generation * Perform of data validation and ...

next page

Showing results 1-20

All JobsContract Python Data Analysis JobsContract Python Data Analysis Jobs in Montreal, QC

Contract Python Data Analysis information

What are some common challenges faced by contract Python data analysts, and how can they be addressed?

Contract Python Data Analysts often face challenges such as quickly adapting to new data environments, understanding project-specific requirements, and integrating with existing teams on a temporary basis. To address these, it's important to have strong communication skills, be proactive in clarifying expectations early on, and familiarize yourself with the company's data infrastructure and tools as soon as possible. Additionally, maintaining organized and well-documented code helps ensure smooth handovers and collaboration with other team members.

What are the key skills and qualifications needed to thrive as a contract Python data analyst?

To thrive as a Contract Python Data Analyst, you need strong analytical skills, proficiency in Python programming, and a solid understanding of statistics and data manipulation, often supported by a relevant degree or proven experience. Familiarity with tools such as pandas, NumPy, SQL databases, and data visualization libraries is typically required. Excellent problem-solving, communication, and time management skills help you deliver actionable insights and collaborate effectively with stakeholders. These abilities are essential for extracting, interpreting, and presenting data-driven solutions that support business objectives in a contract-based environment.

What is a contract Python data analysis job?

Contract Python Data Analysis jobs involve working on a temporary or project-based basis to analyze and interpret data using Python programming. Professionals in these roles use Python libraries such as pandas, NumPy, and matplotlib to clean, process, and visualize data for clients or organizations. They may be hired for short-term projects to deliver insights, build reports, or automate data workflows, often collaborating remotely or on-site. Contract positions offer flexibility and the opportunity to work with various industries and datasets.

What is the difference between Contract Python Data Analysis vs Contract Data Scientist?

AspectContract Python Data AnalysisContract Data Scientist
Required SkillsPython, SQL, data visualization, basic statistical analysisPython, R, machine learning, statistical modeling, data visualization
Work EnvironmentProject-based, client sites or remote, short-term contractsConsulting firms, tech companies, research projects, often longer-term
Industry UsageFinance, marketing, healthcare, retailTech, finance, healthcare, academia

Contract Python Data Analysts focus on data cleaning, visualization, and basic analysis using Python, suitable for short-term projects. Contract Data Scientists typically handle advanced modeling, machine learning, and statistical analysis, often requiring broader skill sets. Both roles are in high demand but differ in complexity and scope.

What are the most commonly searched types of Python Data Analysis jobs in Montreal, QC? The most popular types of Python Data Analysis jobs in Montreal, QC are:
What are popular job titles related to Contract Python Data Analysis jobs in Montreal, QC? For Contract Python Data Analysis jobs in Montreal, QC, the most frequently searched job titles are:
What job categories do people searching Contract Python Data Analysis jobs in Montreal, QC look for? The top searched job categories for Contract Python Data Analysis jobs in Montreal, QC are:
Contract Python Data Analysis jobs near you

Data Integration Engineer

GFR Technologies SE

Montreal, QC • Remote

Full-time

Posted 2 days ago

New

Job description

Data Integration Engineer (Azure & Databricks)

Location: Canada (Hybrid/Remote)
Experience: 5-8 Years

Position Overview

We are seeking a hands-on Data Integration Engineer to join our growing data and analytics team. This role is focused on the design, development, enhancement, and support of enterprise data integration solutions within an Azure and Databricks ecosystem.

The ideal candidate is an execution-oriented professional who enjoys building and supporting data pipelines, integrating data from multiple source systems, and implementing scalable modern data platform solutions. While the role requires participation in solution discussions, the primary focus is on delivery, implementation, and operational support, rather than enterprise architecture or strategic consulting.

Key Responsibilities

Data Integration & Engineering

  • Design, develop, and maintain scalable data integration pipelines using Azure and Databricks.
  • Build and support batch and near real-time data ingestion processes from multiple internal and external source systems.
  • Develop data transformation logic to support analytics, reporting, and business consumption requirements.
  • Implement data quality, validation, reconciliation, and monitoring processes.
  • Optimize pipeline performance and troubleshoot production issues.

Databricks Development

  • Develop and maintain Databricks notebooks, workflows, and processing pipelines.
  • Build transformation frameworks using Spark and Databricks best practices.
  • Support data ingestion, cleansing, enrichment, and aggregation activities.
  • Work with large and complex datasets across multiple domains.

Azure Data Platform Delivery

  • Develop solutions using Azure data services including:
    • Azure Data Factory (ADF)
    • Azure Data Lake Storage (ADLS)
    • Azure Databricks
    • Azure SQL
    • Azure Synapse (preferred)
  • Support deployment, monitoring, and operational activities across the data platform.

Data Architecture Implementation

  • Implement and support Medallion Architecture (Bronze, Silver, Gold layers).
  • Ensure data lineage, governance, and consistency across the platform.
  • Contribute to data modeling and solution design discussions.
  • Translate architectural direction into technical implementation and delivery.

Team Collaboration

  • Collaborate closely with Data Engineers, Solution Architects, Product Owners, and Business Stakeholders.
  • Support ongoing initiatives and enhancements within an established delivery team.
  • Participate in Agile ceremonies, sprint planning, estimation, and backlog refinement.
  • Assist in production support, troubleshooting, and continuous improvement initiatives.

Required Qualifications

  • 5-8 years of experience in Data Engineering, Data Integration, or Data Platform Development.
  • Strong hands-on experience with Azure Databricks.
  • Proven experience building and supporting enterprise-scale data pipelines.
  • Strong understanding of data ingestion, transformation, and integration patterns.
  • Experience integrating data from multiple source systems and platforms.
  • Solid understanding of modern data lake and lakehouse architectures.
  • Experience implementing Medallion Architecture concepts.
  • Strong SQL development and data analysis skills.
  • Experience working within Agile delivery teams.

Technical Skills

Required

  • Azure Databricks
  • Apache Spark / PySpark
  • Azure Data Factory (ADF)
  • Azure Data Lake Storage (ADLS)
  • SQL
  • Python
  • Data Integration & ETL/ELT Development
  • Data Quality & Reconciliation

Preferred

  • Azure Synapse Analytics
  • Delta Lake
  • CI/CD for Data Pipelines
  • Azure DevOps
  • Git
  • Kafka or Event-Driven Architectures
  • Power BI

Preferred Experience

  • Experience supporting cloud-based analytics and reporting platforms.
  • Experience working with complex enterprise data ecosystems.
  • Exposure to financial services, insurance, banking, or regulated industries.
  • Experience supporting production environments and ongoing operational initiatives.
  • Familiarity with data governance and data management best practices.

Apply