Bilingual BI Developer
- Toronto, ON, M4W 1B9, Canada
Full-time
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Job details
- Job type
- Full-time
- Experience
- 3+ years of experience in Business Intelligence, Data Integration, Data Engineering, or a related field.
- Posting language
- English
- Posted
Original 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.
More about this job
Responsibilities
You will design and build real-world data pipelines and semantic models within a modern Microsoft Fabric analytics ecosystem. Additionally, you will deliver Power BI solutions and automate data workflows to support strategic business decision-making.
Requirements
Candidates must have 3+ years of experience in business intelligence or data engineering with strong proficiency in SQL, Python, and Power BI. Experience with the Microsoft Azure data ecosystem and a willingness to work in a hybrid environment are essential.
Skills
- Microsoft Fabric
- Power BI
- SQL
- Python
- Spark
- ETL
- ELT
- Data modeling
- DAX
- Power Query
- Git
- CI/CD
- Azure Synapse Analytics
- Azure Data Factory
- Data engineering
- Business intelligence
Benefits
- Remote workday
- Work-life balance
- Competitive compensation
- Group benefits
- Professional development support
Visa sponsorship
Not detected in the job text
Categories
- Data & Analytics
- Technology
- Software
- Finance & Accounting
- Engineering
Keywords
- Microsoft Fabric
- Power BI
- SQL
- Python
- Spark
- ETL
- ELT
- Data pipelines
- Semantic models
- DAX
- Power Query
- Git
- CI/CD
- Azure Synapse Analytics
- Azure Data Factory
- Data engineering
- Business intelligence
- Azure DevOps
- Fintech
- Data governance
- Data vault
- Dimensional modeling
- Kimball methodology
- Row-level security
- Report automation