We’re a thriving and agile tech development firm. Simply put, we care. Our team personally cares about our clients and the world around them, and we care about our team’s life-long dreams, aspirations, and career development.

We strongly believe in the power of community. We celebrate diversity in all its forms. Backgrounds, personalities, career paths, languages... you name it. You enjoy diving into complex problems, understanding the story behind the data and designing solutions that scale?

You’ll work across diverse domains and with modern technology stacks, while contributing to the growth of data engineering best practices. Designing, developing, and maintaining robust data pipelines within the Microsoft ecosystem (Fabric, Synapse, Data Factory, Azure Functions)

- Working directly with clients: understanding their needs, proposing the right technical solutions, and ensuring smooth project follow-ups
- Documenting technical and functional architectures, transformations, and processes in a transparent and reusable manner
- Participating in the establishment of engineering standards: code quality, data quality, CI/CD, security, and performance
- Collaborating closely with fellow engineers to deliver stable, optimized, and scalable data solutions
- Providing technical guidance to colleagues and sharing best practices in data engineering and architecture
- Implementing data extraction processes by interacting with various APIs to integrate external data
- Overseeing deployments, operational costs, and performance of solutions in cloud environments




- Designing and implementing data governance and quality strategies, including metadata management, security, privacy, and cataloging
- Staying up to date with cloud platforms, modern analytical architectures, and data governance trends.

experience in consulting or multi-client environments is an asset

- Strong proficiency in Python and SQL;

Experience within the Microsoft Azure ecosystem (Functions, Storage, Fabric, Synapse, Data Factory)

- Excellent communication skills in French and English
- Rigour, curiosity, and attention to detail, you thrive in environments where code and deliverable quality are fundamental values;

Experience with platforms such as Snowflake, BigQuery, or dbt (an asset)

- Microsoft certifications (Azure, Fabric, Power BI) (an asset).

Competitive

Salary and contribution to your pension plan (RRSP) Flexible hours of work and choose how you work Wellness and productivity spending account Training 1. 20 min - Initial introductory call with a person from our technical team. 2. 90 min - In-person interview at our office We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. If you would like more information about how your data is processed, please contact us.

📌 Senior Big Data Developer - Data Engineering (Montreal)
🏢 Osedea
📍 Montreal