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Added 24 days ago
Lead Consultant, Gen AI
Lovelytics
Toronto, ON
…ML, and Cloud Migration & Modernization - all delivered on Databricks, with deep partnerships across AWS, Azure, and GCP. To date, we've delivered over $2B in business value for Fortune 500…
Added 24 days ago
MR
IT Reporting Specialist
MHI RJ Aviation Group
Mississauga, ON
- Full-time
IT Reporting Specialist role is a highly visible role interfacing directly with senior business leaders, IT, and data platform teams and is instrumental in ensuring MHIRJ’s leaders have the…
Added 1 month ago
C
Senior Data Engineering Consultant
CGI
Vancouver, BC
- Full-time
…solution to a client in the Public sector. We are seeking a Senior Data Engineering Consultant to join our growing data practice and help clients deliver modern, secure, and scalable…
Added 1 month ago
KT
Senior Data Technologist
Kal Tire
Vernon, BC
- Full-time
Experience with the Azure data platform. Ideal candidate has experience with all the following: Data Factory, Databricks, Synapse Analytics, Azure Synapse Link, Azure Data Lake, Power BI,…
Added 1 month ago
Senior Consultant - Python Developer (Data Solutions & Analytics)
EY
Toronto, ON · Montreal, QC
As a Senior Consultant within our Banking Technology practice, we are seeking a highly motivated Python Developer to join our team. The ideal candidate will have strong experience in…
Added 1 month ago
Senior Visualization Professional
Capgemini
Toronto, ON
- Integrate Power BI with Azure Databricks, Fabric, SQL Server, Synapse, Snowflake, and other enterprise platforms.
Added 1 month ago
AG
Senior AI Developer / Développeur(se) IA senior
Aduna Global
Montreal, QC
- Full-time
Azure AI Foundry/OpenAI, Amazon Bedrock/SageMaker or Databricks.
Added 1 month ago
RS
Sr Manager, Data Product Management
Rogers Sports & Media
Toronto, ON
- Full-time
Responsibilities include aligning with stakeholders across a hybrid-cloud ecosystem including Microsoft Azure, Databricks, Snowflake, and on-premises, while ensuring best practices for data…
Added 1 month ago
TC
Senior Solution Architect (Data & AI Solution Specialist)
Tata Consultancy Services
Toronto, ON · Greater Toronto Area, Canada
- Full-time
Architect and implement scalable solutions using Snowflake and Databricks on AWS, GCP and Azure platforms.
Added 1 month ago
R
Senior Data Engineer
RBC
Vancouver, BC
- Full-time
In this role as a Senior Data Engineer, you will be responsible for development deliverables for the Finance Data Platform. The Platform, leverages Airflow and Databricks and serves as the…
Added 1 month ago
MR
Senior Azure Cloud Engineer
Motion Recruitment
Toronto, ON
- $78 to $92 USD / hour
- Contract
A senior cloud engineering opportunity is available with an enterprise financial organization undertaking a significant Azure modernization initiative.
Added 1 month ago
Senior Manager, Data Product Management - Bilingual English/Spanish
Scotiabank
Toronto, ON
Knowledge of modern data platforms and cloud environments (e.g., GCP, Azure, Databricks) is an asset
Added 1 month ago
RB
Senior Data Engineer
Royal Bank of Canada
Vancouver, BC
- Full-time
In this role as a Senior Data Engineer, you will be responsible for development deliverables for the Finance Data Platform. The Platform, leverages Airflow and Databricks and serves as the…
Added 1 month ago
V
Sr Data Engineer, Specialist
Vanguard
Toronto, ON
- Full-time
We are looking for a Sr Data Engineer with in-depth expertise in AWS, Databricks, and modern data
Added 1 month ago
JG
Senior Machine Learning Engineer
J&M Group
Toronto, ON
- Full-time
…expert knowledge of SQL and Python and deep experience with Azure ML, Databricks, MLflow, CI/CD pipelines, MLOps, model deployment, monitoring, and lifecycle…
Added 1 month ago
S
Principal Technical Product Manager
ShyftLabs
Toronto, ON
- Full-time
Serve as a senior product leader and primary product point of contact for Fortune 500 clients and stakeholders.
Added 1 month ago
Sr Manager, Data Product Management
Rogers Communications
Toronto, ON
Responsibilities include aligning with stakeholders across a hybrid-cloud ecosystem including: Microsoft Azure, Databricks, Snowflake, and on-premises, while ensuring best practices for…
Added 1 month ago
Senior Data Engineer - Vancouver
Capgemini
Vancouver, BC
We are seeking a highly experienced Senior Data Engineering Lead with 8+ years of experience in modern data engineering, data warehousing, and data lake technologies across cloud platforms,…
Added 1 month ago
D
Manager - Data Engineering (Microsoft Fabric Platform)
Deloitte
Toronto, ON
- Full-time
Architect and deliver data ingestion, transformation, and integration pipelines using Fabric, Azure Data Factory, Spark, and SQL.
Added 1 month ago
D
Data Governance Lead
Deloitte
Toronto, ON
- Full-time
Reporting, Metrics and Senior Stakeholder Communication
Added 1 month ago
D
Actuarial Manager, Property & Casualty, Actuarial Insurance Solutions
Deloitte
Toronto, ON
- Full-time
Collaborate with data engineers and technology specialists to deliver cloud-enabled actuarial solutions (Azure/AWS/Google Cloud), including scalable pricing, reserving and capital modelling…
Added 1 month ago
D
Sr Data Scientist / Power Systems Analyst
Deloitte
Toronto, ON
- Full-time
We are seeking a highly analytical and client-focused Senior Consultant to join our team as a Data Scientist / Power Systems Analyst. This role is ideal for a professional who brings a…
Added 1 month ago
D
Data Quality Management Lead
Deloitte
Toronto, ON
- Full-time
Present insights, trends, and risk exposures to senior leadership.
Added 1 month ago
C
Senior Python Developer
CGI
Ottawa, ON
- Full-time
We are seeking a Senior Python Developer with expertise in cloud native development, Azure Databricks, and API engineering. This role supports the development of scalable solutions that…
Added 1 month ago
GM
Staff Engineer, Site Reliability Engineering
General Motors
Markham, ON
- Full-time
…platforms reliable, observable, operable, and scalable. This is a senior technical leadership role for someone who can move comfortably between system-level design, production operations,…

Senior Consultant - Python Developer (Data Solutions & Analytics)

Toronto, ON, M5H 0B3, Canada
Montreal, QC, H3A 0A8, Canada

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Job details

Apply by: Dec 10, 2026
Experience: 3+ years of professional experience in Python development.
Posting language: English
Posted: Sep 8, 2026

Original job description

At EY, we’re all in to shape your future with confidence.

We’ll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go.

Join EY and help to build a better working world.

The Opportunity

As a Senior Consultant within our Banking Technology practice, we are seeking a highly motivated Python Developer to join our team. The ideal candidate will have strong experience in designing, developing, and maintaining scalable Python applications, with a particular focus on data processing, analytics, and automation solutions.

This role will support data-driven initiatives through the development of efficient data pipelines, business solutions, and reporting capabilities while collaborating closely with business stakeholders, analysts, and technology teams.

This job posting relates to an existing vacancy within our organization.

Your Key Responsibilities

Design, develop, test, and maintain Python applications and data solutions.
Build and optimize data processing workflows using Python and Pandas.
Develop ETL/ELT processes to collect, transform, and load data from multiple sources.
Analyze large datasets and deliver actionable insights.
Create reusable, scalable, and maintainable code following best practices.
Collaborate with cross-functional teams to define technical requirements and deliver solutions.
Troubleshoot and resolve application and data-related issues.
Participate in code reviews and contribute to continuous improvement initiatives.
Develop technical documentation and knowledge-sharing materials.
Prepare deliverables including documentation, reports, and client presentations

Skills and Attributes for Success

Experience in lending domain (retail, commercial, or corporate lending)
Strong understanding of lending lifecycle: origination, credit assessment, underwriting, servicing
Familiarity with loan platforms and banking systems
Understanding of system integration, APIs, and data flows
Strong analytical and problem-solving skills
Excellent communication and stakeholder collaboration skills

What We Look For

Bachelor's degree in Computer Science, Software Engineering, Data Science, or a related field.
3+ years of professional experience in Python development.
Strong proficiency in:
- Python
- Pandas
- SQL
- Data manipulation and transformation

Ideally, You’ll Also Have

Experience with:

NumPy
Polars
PySpark
Scikit-learn
FastAPI or Flask
Azure Data Factory
Azure Databricks
Microsoft Azure
Power BI
Knowledge of cloud-based data architectures.
Experience with CI/CD pipelines and DevOps practices.
Familiarity with Docker and containerized applications.
Experience working in Agile environments.
Understanding of data governance and data quality principles.

Previous experience in financial services, banking, or lending environments is considered a strong asset.

Familiarity with banking data, financial products, risk, credit, or regulatory reporting processes is a plus.

What we offer you

We offer a competitive compensation package where you’ll be rewarded based on your performance and recognized for the value you bring to our business. In addition, our Total Rewards package allows you decide which benefits are right for you and which ones help you create a solid foundation for your future. Our Total Rewards package includes a discretionary bonus program, a comprehensive medical, prescription drug and dental coverage plan, a defined contribution pension plan, a great vacation policy plus firm paid days that allow you to enjoy longer long weekends throughout the year, statutory holidays and paid personal days (based on province of residence), and a range of exciting programs and benefits designed to support your physical, financial and social well-being. Plus, we offer:

Support and coaching from some of the most engaging colleagues in the industry

Learning opportunities to develop new skills and progress your career

The freedom and flexibility to handle your role in a way that’s right for you

EY reports salary ranges in accordance with applicable provincial pay transparency legislation. Individual salaries within the anticipated salary ranges noted below are determined through a wide variety of factors including but not limited to internal equity, education, relevant experience, knowledge, and applicable skill sets.

Toronto: $90,500 to $136,000

Inclusiveness at EY

Inclusiveness is at the heart of who we are and how we work. We’re committed to fostering an environment where differences are valued, policies and practices are equitable, and our people feel a sense of belonging. We embrace diversity and are committed to combating systemic racism, advancing gender equity and women in leadership, advocating for the 2SLGBTQIA+ community, promoting our neuroinclusion and accessibility initiatives, and are dedicated to amplifying the voices of Indigenous peoples (First Nations, Inuit, and Métis) nationally as we strive towards reconciliation. Our diverse experiences, abilities, backgrounds, and perspectives make our people unique and help guide us. Because when people feel free to be their authentic selves at work, they bring their best and are empowered to build a better working world.

Learn about our commitment to Inclusiveness at https://www.ey.com/en_ca/about-us/corporate-responsibility/equity

EY | Building a better working world

EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets.

Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow.

EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi-disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories.

At EY, we use artificial intelligence (AI) tools as one element of our recruitment process to enhance efficiency and improve the candidate experience. While AI supports us in our process, human judgment and decision-making remain integral in our candidate experience. We are committed to the responsible use of AI, and our practices are continuously reviewed and refined to ensure they align with ethical principles and regulatory requirements.

To all recruitment agencies: EY does not accept unsolicited resumes from recruitment agencies. Any resumes submitted without a prior agreement or request from our hiring team will not be considered. EY is not responsible for any fees related to unsolicited resumes.

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More about this job

Responsibilities

The Senior Consultant will design, develop, and maintain scalable Python applications and data processing workflows to support data-driven initiatives. They will collaborate with cross-functional teams to build ETL/ELT processes and deliver actionable insights through reporting and analytics.

Requirements

Candidates must have a bachelor's degree in a relevant field and at least 3 years of professional experience in Python development. Strong proficiency in SQL, Pandas, and data manipulation is required, along with experience in the lending or financial services domain.

Skills

Python
Pandas
SQL
Data processing
ETL/ELT
Data pipelines
Automation
Analytics
Lending domain
API integration
Problem-solving
Stakeholder collaboration
Technical documentation
Data governance
Agile
Cloud architectures

Benefits

Discretionary bonus program
Medical coverage
Prescription drug coverage
Dental coverage
Vacation policy
Paid personal days
Coaching and support
Learning opportunities

Visa sponsorship

Not detected in the job text

Keywords

Python
Pandas
SQL
ETL
ELT
Data pipelines
Automation
Analytics
Lending
API
Azure Data Factory
Azure Databricks
Microsoft Azure
Power BI
NumPy
Polars
PySpark
Scikit-learn
FastAPI
Flask
CI/CD
DevOps
Docker
Agile
Data governance
Data quality
Financial services
Banking
Risk management
Regulatory reporting

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