Data Engineering Developer
Summary
Builds and maintains scalable data pipelines in the Microsoft Azure ecosystem (Fabric, Synapse, Data Factory) to solve complex data challenges for clients, while mentoring teams and setting engineering standards.
Who we are
We’re a thriving and agile tech development firm. People are at the center of everything we do. 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. This is why we seek opportunities to build meaningful relationships with everyone around us.
We celebrate diversity in all its forms. Backgrounds, personalities, career paths, languages... you name it. We actively innovate, learn, and share stories around the topic. We want everyone to feel welcomed and included in all we do.
We like having fun and enjoying ourselves. We wake up every day inspired to build a more efficient and enjoyable world.
Role overview
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.
Your key responsibilities
- 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 clear 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.
The ideal candidate
- Over 5 years of experience in a similar role; experience in consulting or multi-client environments is an asset;
- Strong proficiency in Python and SQL;
- Experience with Spark and modern analytical architectures (ELT, medallion, star schema);
- 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;
- Strong results orientation and a developed sense of client service;
- Experience with platforms such as Snowflake, BigQuery, or dbt (an asset);
- Microsoft certifications (Azure, Fabric, Power BI) (an asset).
What we offer
- Competitive Salary and contribution to your pension plan (RRSP)
- Flexible hours of work and choose how you work
- Work from anywhere up to 8 weeks
- Paid sabbatical
- Wellness and productivity spending account
- Parental program
- Activities
- Training
- And more...
The process for this role if you are selected
1. 20 min - Initial introductory call with a person from our technical team.
2. 90 min - In-person interview at our office
3. Offer presentation
Only considered candidates will be contacted. Read our full hiring process here.
As published by lever
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