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.
