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Added 9 days ago
T
Python Developer
Tekshapers
Mississauga, ON
- Full-time
Python (core & Advance preferable), Pyspark (Advanced Level)- Data processing, Engineering, ETL Development(using Oracle, mongo, Hive), Advanced Optimization Techniques for processing Large…
Added 9 days ago
Senior Engineering Manager - Hospitality
OpenTable
Toronto, ON
Our data platform is built on a modern, cloud-native stack. Our ecosystem includes technologies for data ingestion (CDC and Kafka), processing (Spark), storage (Databricks/S3), and…
Added 9 days ago
IF
Senior Actuarial Advisor – Financial and Actuarial Services, Dealer Services, U.S. Operations
iA Financial Group
Montreal, QC · Quebec, QC
- Full-time
Is proficient with actuarial and analytical tools such as R, Python, SAS, or SQL;
Added 9 days ago
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Data Engineer
Keasis
Montreal, QC
- Contract
Core Technical Skills: Strong proficiency in Python and hands-on expertise with PySpark (Spark SQL, DataFrames, RDDs).
Added 9 days ago
A
Senior Engineer or Analyst, Grid Analytics
AESO
Calgary, AB · KPMG Tower
- Full-time
Advanced proficiency in Python, with experience developing complex analytical applications and automation solutions
Added 9 days ago
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Senior Cloud Engineer
Pandell - An ESG Company
Remote, Canada
- Full-time
- Remote
At least five years of experience designing, operating, and improving enterprise environments that include Windows, Linux, and SQL-based systems.
Added 9 days ago
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Performance Test Engineer - Azure DevOps + OpenShift Container Platform
VSS
Toronto, ON
- Contract
Analyze system behavior using data analysis skills and identify bottlenecks by monitoring metrics from MySQL, Microsoft SQL Server and other databases.
Added 9 days ago
GC
Data Engineer
GEI Consultants, Inc.
Markham, ON
- $90,000 to $150,000 CAD / year
- Full-time
Proficiency in Python and SQL; experience with PySpark or Spark is strongly preferred.
Added 9 days ago
QR
Analyste- Gestion des prix de vente et analyse de données
Quincaillerie Richelieu Ltée/Richelieu Hardware Ltd
Montreal, QC
- Full-time
Détenir des connaissances de base en SQL (Un atout).
Added 9 days ago
QR
Analyste - Gestion de Prix de Ventes et Analyse de Données
Quincaillerie Richelieu Ltée/Richelieu Hardware Ltd
Montreal, QC
- Full-time
Détenir des connaissances de base en SQL (Un atout).
Added 9 days ago
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Production Support Analyst
Hays
Montreal, QC
- Contract
Hands-on experience with PL/SQL, Shell Scripting, Python, and Perl.
Added 9 days ago
AS
Lead Data Engineer
Alquemy Search & Consulting
Toronto, ON
- $100,000 to $120,000 USD / year
- Full-time
Strong hands-on experience with Python, PySpark, and SQL.
Added 9 days ago
HG
Business Systems Analyst (AI and Automation)
Hypertec Group
QC · St-Laurent, QC
- Full-time
Working knowledge of APIs, system integrations, and data flows, and the ability to query data with SQL or similar tools to validate requirements and results.
Added 9 days ago
HA
Senior Software Engineer
H2 Analytics
Remote, Canada
- $120,000 to $170,000 CAD / year
- Full-time
- Remote
Advanced database experience (SQL / NoSQL), particularly with MongoDB, PostgreSQL, PostGIS, and geospatial data
Added 9 days ago
GC
Data Engineer
GEI Consultants, Inc.
Vaughan, ON
- $90,000 to $150,000 CAD / year
- Full-time
Proficiency in Python and SQL; experience with PySpark or Spark is strongly preferred.
Added 9 days ago
GC
Data Engineer
GEI Consultants, Inc.
Guelph, ON
- $90,000 to $150,000 CAD / year
- Full-time
Proficiency in Python and SQL; experience with PySpark or Spark is strongly preferred.
Added 9 days ago
GC
Data Engineer
GEI Consultants, Inc.
Kitchener, ON
- $90,000 to $150,000 CAD / year
- Full-time
Proficiency in Python and SQL; experience with PySpark or Spark is strongly preferred.
Added 9 days ago
TC
Data AI Engineer
Tata Consultancy Services
Mississauga, ON
- $100,000 to $130,000 CAD / year
- Full-time
We are seeking an experienced AI/ML Developer to design, develop, and deploy machine learning and generative AI solutions. The ideal candidate should possess strong expertise in Python,…
Added 9 days ago
LV
DATA ANALYST-EN
La Vie En Rose
Montreal, QC
- Full-time
Knowledge of the following programming languages: SQL and Python;
Added 9 days ago
SL
Python Developer
Staffingine LLC
Toronto, ON
- Full-time
Client is looking for a skilled Python Backend Engineer to build and scale high-performance backend systems. This role will focus on API development, platform engineering, and system…
Added 9 days ago
MU
Advancement Analyst
McGill University
Mont-Royal, QC · Les Cours Mont Royal
- Full-time
Strong SQL skills and experience analyzing data from multiple sources.
Added 9 days ago
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Senior Python Developer
CGI
Toronto, ON
- Full-time
We are seeking a Senior Python Developer with 8+ years of experience in Python scripting, data engineering, and SQL. The successful candidate will collaborate with business users, support…
Added 9 days ago
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Sr Consultant, Application Support - 18 Months Secondment
CIBC
Toronto, ON
- Full-time
…trouble-shooting ability including knowledge of approaches, tools and techniques for anticipating, recognizing, and resolving technical (software, application or operational) problems and…
Added 9 days ago
A
Manager, Data Operations
AstraZeneca
Mississauga, ON · Canada - Mississauga
- Full-time
In this role, you will lead the delivery and daily operation of specialty pharmacy, specialty infusion, patient services, trade and distribution data that powers our US Commercial strategy…
Added 9 days ago
Forestry Data Engineer
Government of Alberta
AB
Experience using SQL, Python, R, FME, ArcGIS, or business intelligence tools to automate workflows, analyze data, and produce reports or dashboards.

Alquemy Search & Consulting

Lead Data Engineer

Toronto, ON, Canada

$100,000 to $120,000 USD / year · Full-time

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Job details

Pay: $100,000 to $120,000 USD / year
Job type: Full-time
Apply by: Nov 22, 2026
Posting language: English
Posted: Oct 23, 2026

Original job description

Lead, Data Engineer

Full-time

Hybrid:** 4 days onsite/week, Monday–Thursday

The Lead, Data Engineering will join the Software Engineering team that leads the delivery of data and application solutions that enable Global Investments (GI) and Corporate teams to analyze opportunities, support investment decision-making, optimize portfolio insights, and strengthen enterprise management capabilities. Reporting to the Manager, Software Engineering, the Lead, Data Engineering works across investment teams including Capital Markets, Infrastructure, Private Equity, Private Capital and Ventures, and Corporate, in close collaboration with Finance, Risk & Compliance teams. As a key member of the Software Engineering team, the Lead, Data Engineering will be hands-on across the full data solution delivery lifecycle, leading the design, development, deployment, and operation of scalable data solutions. This role requires the ability to build trusted relationships with business and technology stakeholders, understand business priorities, define solution architectures, and deliver reliable data products that enable analytics, AI-driven capabilities, and operational excellence. The individual will collaborate closely with Power BI developers, Data Scientists, Investment Professionals, Architects, and Platform Teams, providing technical leadership and integration expertise across one or more application teams.

Responsibilities

Translate business requirements into scalable, secure, and reliable data solutions.
Lead the design, development, deployment, and operational support of data platforms, pipelines, and products using modern cloud and engineering practices.
Define and execute testing strategies, including unit, integration, performance, data quality, and automated regression testing.
Source, transform, and deliver structured and unstructured data assets for analytics, reporting, operational, and AI-enabled use cases.
Develop and maintain ELT/ETL pipelines that achieve high levels of reliability, scalability, performance, and security.
Optimize data pipelines, data models, and platform components for performance, cost efficiency, and operational excellence.
Implement and maintain CI/CD practices, monitoring, observability, auditing, and operational controls to support production-grade solutions.
Provision and manage Azure resources, ensuring appropriate security, governance, and cost management.
Troubleshoot complex technical issues and drive continuous improvement across data solutions and platforms.

Qualifications

Post-secondary education in Computer Science, Software Engineering, Information Technology, or a related discipline.

Required Skills

5+ years delivering complex data engineering and analytics solutions using Microsoft Azure. Experience in the financial services or investment industry is preferred.
Strong understanding of data engineering, cloud, and software engineering best practices, with experience developing and implementing operational procedures, standards, and documentation.
Consistent track record of building deep technical relationships. Experience in aligning expectations across various partners.
Strong analytical and troubleshooting skills, with the ability to trace data lineage, investigate complex workflows, and resolve technical issues with minimal direction.
Motivated and keen to work in a collaborative environment with a focus on team success, knowledge sharing, continuous improvement, and delivering business value.
Enterprise-scale experience designing, building, and supporting cloud-based data platforms, data products, and scalable ELT/ETL solutions on Microsoft Azure.
Strong experience with data architecture, data modeling, data warehousing, and dimensional modeling methodologies such as Kimball and Data Vault 2.0.
Experience with Snowflake.
Strong hands-on experience with Python, PySpark, and SQL.
Deep expertise and Subject Matter Expertise (SME) in Snowflake and dbt, including data modeling, transformation, testing, deployment and performance optimization.
Experience with data orchestration tools such as Prefect, Dagster, Airflow, ADF, or Synapse.
Experience designing and developing Azure Functions and Azure Logic Apps for data integration, automation, and event-driven solutions.
Experience designing data solutions that support AI-enabled use cases, semantic search, or unstructured data processing.
Proven experience implementing and maintaining CI/CD pipelines using GitHub Actions.
Experience translating business requirements into scalable technical solutions and collaborating effectively with business and technology stakeholders.
Experience working in the financial services, asset management, pension, investment management, or similar data-intensive industries.

Preferred Skills

Experience with Azure Databricks.
Experience with Microsoft Fabric.
Experience with Power BI report development, semantic models, and dashboard design.
Experience with containerization and container orchestration technologies.
Experience with Infrastructure-as-Code (IaC) and cloud automation practices.

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More about this job

Responsibilities

Lead the design, development, deployment, and operational support of secure, scalable data platforms, pipelines, and products on Azure. Translate business needs into reliable data solutions, optimize performance and cost, and implement testing, CI/CD, monitoring, governance, and operational controls.

Requirements

Requires post-secondary education in computer science, software engineering, information technology, or a related discipline, plus at least five years delivering complex data engineering and analytics solutions using Microsoft Azure. Candidates should have strong hands-on expertise in Snowflake, dbt, Python, PySpark, SQL, data architecture and modeling, orchestration, CI/CD, and stakeholder collaboration; financial or investment industry experience is preferred.

Skills

Microsoft Azure
Snowflake
dbt
Python
PySpark
SQL
Data Architecture
Data Modeling
Data Warehousing
ETL/ELT Pipelines
Data Orchestration
Azure Functions
Azure Logic Apps
GitHub Actions
CI/CD
Data Quality Testing

Visa sponsorship

Not detected in the job text

Keywords

Microsoft Azure
Snowflake
dbt
Python
PySpark
SQL
Azure Databricks
Microsoft Fabric
Power BI
Prefect
Dagster
Apache Airflow
Azure Data Factory
Azure Synapse
Azure Functions
Azure Logic Apps
GitHub Actions
CI/CD
ETL
ELT
Data Architecture
Data Modeling
Data Warehousing
Kimball Methodology
Data Vault 2.0
Semantic Search
Unstructured Data Processing
Infrastructure As Code
Containerization
Financial Services

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