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Bilingual BI Developer
Toronto, Ontario, Canada
Actively hiring, first seen by us today- Pay
- Pay not listed
- Work setting
- Not stated
- Employment
Full-time — employment source
Employment type in the employer’s posting: Full-Time
From the employer’s posting
What you’ll work on
Full postingDesign and build data pipelines for the new Microsoft Fabric platform
Build semantic models that business teams actively use
Deliver Power BI solutions for strategic and operational decisions
Develop reliable ETL/ELT processes
Automate and industrialize data workflows
From the employer’s posting
You will design real-world data pipelines
build semantic models that are actively used by business teams
deliver Power BI solutions that drive strategic and operational decision-making
Develop reliable ETL/ELT processes.
Automate and industrialize data workflows.
What you’ll bring
All qualificationsCore experience
- 3+ years in BI, data integration or data engineering
- Strong SQL, proficiency in Python, and Spark for data transformation
- Fluent communication in English and French
Qualification wording
3+ years of experience in Business Intelligence, Data Integration, Data Engineering, or a related field.
Strong SQL skills.
Ability to communicate effectively in both English and French
Posting record
Report an errorActively hiringFirst seen by us today, still listed, and not a repost of an earlier posting.
- Status in our records
- Live
- First seen by us
- Nov 9, 2026today
- Recorded sightings
- 1
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
Iceberg Finance is hiring
1 open job
Open jobs by the week we first saw them, last 12 weeks.
Hiring recordSee how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Python
- SQL
- Azure
- Power BI
- Power Query
- Spark
Where the posting names them
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
- Strong SQL skills. - Proficiency in Python. - Experience using Spark for data transformation and processing.
Core Technical Skills - Strong SQL skills. - Proficiency in Python.
- 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.
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
Nice-to-Have Qualifications - Experience with Azure DevOps. - Experience in finance, consumer credit, lending, or fintech environments.
- 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:
Power BI Expertise - Advanced knowledge of Power BI, including: - DAX
- 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).
- DAX - Power Query (M) - Semantic model design
- Proficiency in Python. - Experience using Spark for data transformation and processing. Engineering Practices
Your next step
Complete your application on icebergfinance.bamboohr.com. The employer’s form will show what is required.
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Demand for Data Engineer roles
New Data Engineer postings at the employers we follow are up 8% over the last 5 weeks compared with the 5 before.
Each bar is one week of new postings. The darkest bars are the last 5 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
About the role
We file this job under Data Engineer, by the work the posting describes.
Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.
Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.
An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.
US government figures for database architects
- Median yearly pay, May 2025
- $139,500
- Expected change, 2025 to 2035
- 9.4% more jobsagainst 3.5% for all jobs
The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.
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.
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
No pay amount identified in the saved description.
- Location & working pattern
Toronto, Ontario, Canada
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.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.