3+ years of experience in Business Intelligence, Data Integration, Data Engineering, or a related field.
Hands-on experience with Microsoft Fabric or strong experience with Azure Synapse Analytics/Azure Data Factory.
Advanced knowledge of Power BI, including DAX, Power Query (M), semantic model design, and performance optimization.
Strong SQL skills and proficiency in Python.
Experience using Spark for data transformation and processing.
Comfortable with Git, code reviews, and modern CI/CD workflows.
Ability to communicate effectively in both English and French.
Responsibilities
Build and evolve the modern data platform.
Develop reliable ETL/ELT processes.
Design high-performance data models.
Deliver meaningful insights to support business decisions.
Automate and industrialize data workflows.
Collaborate effectively and maintain clear documentation.
Benefits
One remote workday per week after the probationary period, promoting work-life balance.
Opportunity to work in a technical environment built from the ground up with a modern technology stack.
Join a small, experienced data team where learning is rapid and contributions are visible to senior leadership.
Competitive compensation and comprehensive group benefits, along with support for professional development and continuous learning.
Full Job Description
Iceberg Finance is undergoing a major transformation. We are migrating our entire data platform to Microsoft Fabric and building our modern analytics ecosystem from the ground up. We are looking for a versatile BI Developer to join our Data Team and help shape this new platform.
This is not a maintenance role.
You will design real-world data pipelines, build semantic models that are actively used by business teams, and deliver Power BI solutions that drive strategic and operational decision-making. You will work with SQL, Python, Spark, and Power BI within a small, agile team where your ideas and contributions have a direct impact on the business.
Your Impact
Build and evolve our modern data platform.
Develop reliable ETL/ELT processes.
Design high-performance data models.
Deliver meaningful insights that support business decisions.
Automate and industrialize data workflows.
Collaborate effectively and maintain clear documentation.
What We're Looking For
Experience
3+ years of experience in Business Intelligence, Data Integration, Data Engineering, or a related field.
Microsoft Fabric or Azure Data Ecosystem
Hands-on experience with Microsoft Fabric, or strong experience with Azure Synapse Analytics and/or Azure Data Factory, combined with a willingness to quickly become proficient in Fabric.
Power BI Expertise
Advanced knowledge of Power BI, including:
DAX
Power Query (M)
Semantic model design
Performance optimization
Core Technical Skills
Strong SQL skills.
Proficiency in Python.
Experience using Spark for data transformation and processing.
Engineering Practices
Comfortable working with Git, code reviews, and modern CI/CD workflows.
Profile
Curious, organized, and self-motivated.
Strong problem-solving mindset.
Ownership-oriented and capable of working independently.
Languages
Ability to communicate effectively in both English and French, as our documentation and business stakeholders operate in both languages.
Nice-to-Have Qualifications
Experience with Azure DevOps.
Experience in finance, consumer credit, lending, or fintech environments.
Knowledge of data governance and privacy compliance practices.
Experience with Power BI Embedded, Row-Level Security (RLS), or report automation.
Knowledge of Data Vault or dimensional modeling (Kimball methodology).
What We Offer
One remote workday per week following the probationary period, along with a strong commitment to work-life balance.
A technical environment being built from the ground up, featuring a modern technology stack and genuine opportunities to influence architecture decisions.
A small, experienced data team where learning happens quickly and your work is highly visible to senior leadership.
Competitive compensation, comprehensive group benefits, and support for professional development and continuous learning.
