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Python Data Developer Jobs in Montreal, QC (NOW HIRING)

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Data Engineering Lead (Montreal)

Montreal, QC · Remote

CA$175K - CA$225K/yr

We're looking for an experienced Data Engineering Lead to architect, scale, and lead our data ... Deep understanding of SQL, Python, and ETL frameworks, as well as data quality, validation ...

Kyndryl

Data & AI Architect

Montreal, QC

CA$118.70K - CA$168.70K/yr

Data Platform Engineering * Design and oversee modern data platforms using technologies such as ... Python, TensorFlow, PyTorch, scikit-learn, Azure ML, SageMaker, Vertex AI. * Generative AI: LLM ...

Cogeco

Specialist, Data Engineering

Montreal, QC

Reporting to the Lead Data Engineering, the Data Engineering Specialist is responsible for ... Automate manual tasks using scripting languages (e.g., Bash, Python) and Enterprise scheduling ...

Artefact

Sr Data Analyst

Montreal, QC

We design data-based solutions to meet our clients' specific needs, always conceived with a ... Programming languages: Python, R, SQL * Tool * * Cloud databases * Amazon Redshift, Microsoft Azure ...

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Python Data Developer information

What are the key skills and qualifications needed to thrive as a Python Data Developer, and why are they important?

To excel as a Python Data Developer, you need strong programming skills in Python, a solid understanding of data structures, algorithms, and experience with relational and NoSQL databases. Familiarity with data processing libraries (like Pandas, NumPy), ETL tools, and version control systems, as well as knowledge of cloud platforms (such as AWS or Azure), are typically required. Problem-solving ability, attention to detail, and effective communication are vital soft skills in this role. These skills enable efficient data pipeline development, ensure data quality, and facilitate collaboration within technical teams.

What are some common challenges faced by Python Data Developers when working with large datasets?

Python Data Developers often encounter challenges related to efficiently processing and managing large datasets, such as optimizing data pipelines for speed and memory usage. Handling data quality issues, integrating data from multiple sources, and ensuring scalability of their solutions are also frequent hurdles. Collaboration with data engineers, analysts, and stakeholders is crucial for understanding requirements and delivering robust results. Staying up to date with the latest libraries and tools, like Pandas, Dask, or PySpark, is also important to overcome these challenges and maintain high performance.

What are Python Data Developers?

Python Data Developers are professionals who use the Python programming language to collect, process, and analyze data. They build and maintain data pipelines, write scripts for data manipulation, and work with databases to ensure data is accessible and usable for analytics and business insights. These developers often collaborate with data scientists, analysts, and other IT professionals to support data-driven decision-making within an organization.

What is the difference between Python Data Developer vs Data Analyst?

AspectPython Data DeveloperData Analyst
Required SkillsPython, SQL, data modeling, ETL processesExcel, SQL, data visualization, basic statistics
CertificationsPython certifications, data engineering coursesData analysis certifications, Excel certifications
Work EnvironmentData engineering teams, software development projectsBusiness units, reporting teams
Industry UsageTech, finance, healthcare, where data pipelines are neededMarketing, finance, operations for insights and reporting

The Python Data Developer focuses on building data pipelines, integrating data sources, and developing scalable data solutions using Python. In contrast, Data Analysts primarily interpret data, create reports, and provide insights for decision-making. While both roles require SQL and data handling skills, Python Data Developers are more involved in data engineering tasks, whereas Data Analysts focus on data visualization and analysis.

What are popular job titles related to Python Data Developer jobs in Montreal, QC? For Python Data Developer jobs in Montreal, QC, the most frequently searched job titles are:
What job categories do people searching Python Data Developer jobs in Montreal, QC look for? The top searched job categories for Python Data Developer jobs in Montreal, QC are:
Python Data Developer jobs near you
Infographic showing various Python Data Developer job openings in Montreal, QC as of May 2026, with employment types broken down into 98% Full Time, 1% Part Time, and 1% Contract. Highlights an 95% Physical, 3% Hybrid, and 2% Remote job distribution.

Data and Analytics Engineer

Amaris Consulting

Montreal, QC

Other

Posted 15 days ago

Job description

This role involves hands-on development, data pipeline creation, and close collaboration with stakeholders across the organization. We are looking for a self-starter with strong execution skills and the ability to work independently — someone who can execute on the current strategy while actively contributing to its evolution. This position provides specialist data analysis and expertise to drive decision-making and business insights, including crafting data pipelines, implementing data models, optimizing data processes, and applying machine learning and AI-based techniques.

WHAT YOU'LL BRING TO THE ROLE

  • Programming skills in Python and experience as a practitioner in data engineering or a related field.
  • Ability to design and implement data pipelines and workflows to support analytics and reporting needs.
  • Experience developing interactive dashboards and reports using Power BI and Tableau.
  • Ability to collaborate with business stakeholders to translate requirements into data models and visualizations.
  • Experience with Dataiku and other analytics platforms for data preparation, machine learning workflows, and advanced analytics.
  • Strong commitment to data quality, integrity, and security across all analytics solutions.
  • Ability to optimize dashboard and query performance for large datasets.
  • Experience working on Snowflake and/or Databricks (at least one required).
  • Knowledge of database systems — SQL and NoSQL.
  • Experience with Snowflake Cortex is a strong asset.
  • Familiarity with cloud platforms (AWS, Azure) and their data services.
  • Experience using Jupyter notebooks for data exploration, analysis, and visualization.
  • Excellent communication, collaboration, and ability to work within a geographically distributed team.

GOOD TO HAVE

  • Experience with data warehousing concepts and technologies.
  • Familiarity with data governance and security best practices (data access control, data masking).
  • Experience with Agile methodologies.
  • Familiarity with data catalog and metadata management tools (e.g., Collibra).
  • Familiarity with CI/CD pipelines and DevOps practices.

PERSONAL SKILLS

  • Integrity, ownership, and a strong team-player mindset.
  • Ability to work under time and resource constraints.
  • Ability to find simple and effective solutions.
  • High motivation to expand both technical and business knowledge.

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