Posted 2 hours ago
Senior Power BI Developer
@ Insight Global
Toronto, Ontario
Overview
Insight Global is hiring a Senior Power BI Developer on a 6-month contract for a Top 5 Canadian bank's Lending & Portfolio Management group. The role is a data analytics engineering position focused on investigating and reconciling complex data across multiple warehouses, supporting credit risk data for Business Banking, Commercial, Mortgages and Unsecured Lending. Candidates need advanced Python, Power BI and banking credit risk experience and must work with datasets of 200M+ records.
Pay:
From $51 an hour
Responsibilities:
- Investigate and reconcile data across multiple warehouses
- Validate business rules using sample data
- Build and troubleshoot data models and pipelines
- Work with 200M+ record datasets on credit risk
- Use Python and AI tools for data engineering
Requirements summary:
- Senior BI, data analytics engineer or data engineer experience
- Strong Python and Power BI experience
- Financial services or banking experience, with credit risk knowledge
- Experience with large datasets, ideally 200M+ records
- Strong critical thinking and communication skills
- Ability to work independently in a fast-paced environment
Tools & skills
Source and dates
Source type not verified · insightglobal
- Employer posting date
- 2026-11-09
- First seen by our source
- 2026-11-09
- Source record updated
- 2026-11-09
These dates describe the source record, not a live verification that the employer is still hiring. Check the original posting.
Job details
| Seniority | Senior |
| Department | Data & analytics |
| Work setting | Office |
| Position | Mostly sitting |
| Physical demands | physical low · computer high |
| Languages | English |
Summary and details written by AI from the posting; the employer’s posting is the authority.
Insight Global
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Insight Global is a talent, consulting, and AI company.
Full company description
Insight Global is an international talent and consulting company that delivers business outcomes in an ever-changing world. We obsess over solving problems and building solutions that move our customers further, faster. With access to top talent in more than 50 countries, our tech-enabled recruiters can build teams quickly. Our technical experts across Cloud, AI, Data, Enterprise Operations, and Applied Engineering deliver solutions tailored to each customer’s needs. As those needs evolve, so do we. As we evolve, though, we stay true to our purpose: to develop people personally, professionally, and financially so they can be the light to the world around them. It shows up in everything we do, from investing in our people to delivering results for our customers to making a meaningful impact in our communities.
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Currency and observation date were not supplied; this is not a current valuation or a funding round.
Insight Global is an international talent and consulting company that delivers business outcomes in an ever-changing world. We obsess over solving problems and building solutions that move our customers further, faster. With access to top talent in more than 50 countries, our tech-enabled recruiters can build teams quickly. Our technical experts across Cloud, AI, Data, Enterprise Operations, and Applied Engineering…
| Field | Value |
|---|---|
| Industry | Business Consulting and Services |
| Company size | 1,001-5,000 employees |
| Headquarters | Atlanta, Georgia |
| Organization type | Privately Held |
| Year founded | 2001 |
| Specialties | ConsultingTalent ServicesStaffingand International Staffing |
| Open jobs on Jobsy | 270 |
| View page |
Advanced experience as a Senior BI Developer, Data Analytics Engineer, Data Engineer, or similar data-focused position.
Strong experience with data analytics engineering, data modelling, data pipelines, and data warehousing.
Advanced data investigation, reconciliation, and root-cause analysis capabilities.
Proven ability to work across multiple databases and data warehouses to investigate inconsistencies.
Experience working with very large datasets, ideally 200M+ records.
Strong Python experience.
Experience with Power BI.
Strong financial services or banking experience.
Strong understanding of Credit Risk data and concepts.
Experience within Business Banking, Small Business, or Commercial Banking.
Knowledge of Mortgages and Unsecured Lending products.
Strong critical thinking and problem-solving skills.
Excellent written and verbal communication skills, with the confidence to proactively engage different teams to resolve issues.
Ability to work independently in a fast-paced environment.
Nice to Have Skills & Experience
Experience supporting customer 360 / consolidated customer credit views.
Experience across multiple lending products, including mortgages, personal lines of credit, unsecured credit, and commercial lending.
Exposure to AML or other financial risk data.
Hands-on experience incorporating AI tools into data engineering workflows to accelerate analysis and productivity.
Job Description
Our client, a Top 5 Canadian bank, is seeking a Senior BI Developer to join their Lending & Portfolio Management group on a 6-month contract.
This is a highly data-focused role supporting complex lending and credit risk initiatives across areas such as Business Banking, Small Business, Commercial Banking, Mortgages, and Unsecured Lending.
This is not a traditional Power BI/dashboard development position. The successful candidate will have an advanced data analytics engineering background and will be responsible for investigating complex data issues across multiple data warehouses, reconciling discrepancies, validating business rules, and ensuring the underlying data is accurate and reliable.
The team already has the broader framework in place and needs a senior resource who can come in, navigate extremely large and complex datasets, and independently investigate why data isn't reconciling across systems.
Key Responsibilities
Perform complex data investigation, analysis, and reconciliation across multiple data warehouses and source systems.
Investigate situations where numbers across databases do not reconcile and identify the underlying root cause.
Proactively collaborate with business and technical teams to understand data discrepancies and determine appropriate solutions.
Define, test, and validate business rules using sample data to ensure consistency across systems.
Work with extremely large datasets of 200M+ records.
Develop, enhance, and troubleshoot data models and data pipelines.
Navigate multiple data warehouses and systems to understand the complete flow and lineage of data.
Support lending and portfolio management data across Business Banking, Small Business, Commercial Banking, Mortgages, and Unsecured Lending.
Work with data from a Credit Risk perspective, rather than strictly product analytics.
Use Python to support data investigation, engineering, validation, and automation.
Leverage AI capabilities to improve productivity in data engineering, including investigation, development, testing, and documentation.
Use Power BI for visualization and reporting where required.
Clearly communicate findings and data issues to technical and business stakeholders.
Work independently and manage competing priorities within a fast-paced banking environment.
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