Junior to Intermediate Data Engineer

Talents LGS; Montreal (administrative region); Hybrid; CAD 65,000 - 90,000; Full time

Job summary

Talents LGS in Montreal, Canada is seeking a Junior to Intermediate Data Engineer to help design, develop, and support modern data solutions within our Hybrid Cloud & Data practice. You will collaborate with senior engineers, contribute to ETL/ELT pipelines, and gain exposure to Azure data services.

The role emphasizes learning, code reviews, documentation, and participation in data architecture projects such as Data Lakehouse, Data Warehouse, and Medallion Architecture, while building BI

Qualifications

• University or college degree in computer science, software engineering, data science, or a related field.
• 1 to 5 years of relevant experience.
• Knowledge of SQL.
• Basic knowledge of Python.
• Understanding of relational databases and ETL/ELT concepts.
• Cloud environments knowledge is an asset.
• Power BI or BI tools knowledge is an asset.
• Azure Data Services knowledge is an asset.

Responsibilities

• Collaborate with senior Data Engineers, Architects, and analytics teams.
• Participate in code reviews and development best practices.
• Document developed solutions.
• Gradually develop expertise in modern Data architecture.

Skills

SQL knowledge

Python basics

Analytical mindset

Team collaboration

Bilingual French-English

Education

Bachelor's degree in computer science, software engineering, data science, or related field

Tools

Azure Data Factory

Azure Databricks

Power BI

Azure SQL

Job description

As part of the growth of our Hybrid Cloud & Data practice (AI, Analytics & Data Services), we are looking for a Junior to Intermediate Data Engineer – Hybrid Cloud & Data to contribute to the development and evolution of modern data solutions.

Under the supervision of experienced Data Architects and Engineers, the successful candidate will participate in the design, development, and support of data pipelines that enable organizations to leverage their information for analytics, decision-making, and artificial intelligence.

Here is how you will be involved:

• Collaborate with senior Data Engineers, Architects, and analytics teams.
• Participate in code reviews and development best practices.
• Document developed solutions.
• Gradually develop expertise in modern Data architecture.

Data Development

• Participate in the development of data pipelines.
• Perform data extraction, transformation, and loading (ETL/ELT).
• Develop scripts and data processing components.
• Perform data quality validations.
• Resolve issues related to processing and integrations.

Cloud Data Platforms

Participate in projects using:

• Microsoft Azure
• Microsoft Fabric
• Azure Data Factory
• Azure Data Lake Storage
• Azure Databricks
• Power BI
• Azure SQL

Contribute to modern architectures:

• Data Lakehouse
• Data Warehouse
• Medallion Architecture
• Data Integration

Your Experience:

• University or college degree in computer science, software engineering, data science, or a related field.
• 1 to 5 years of relevant experience.
• Knowledge of SQL.
• Basic knowledge of Python.
• Understanding of relational database concepts.
• Understanding of ETL/ELT concepts.
• Knowledge of Cloud environments (an asset).
• Knowledge of Power BI or BI tools (an asset).
• Knowledge of Azure Data Services (an asset).

You stand out through your:

• Strong interest in data, Cloud technologies, and artificial intelligence.
• Technological curiosity and eagerness to learn.
• Ability to work collaboratively in a team environment.
• Strong analytical and problem-solving skills.
• Bilingualism in French and English, as you will be required to collaborate with resources outside of Quebec.

Why Join Our Team

You will have the opportunity to develop your expertise alongside Data, Cloud, and AI experts while contributing to modern projects using the most in-demand technologies on the market.

You will be supported in your professional development to progress toward an autonomous Data Engineer role and eventually toward a Data Architect or Data Specialist position.