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Added 1 min ago
OA
AI Integration Engineer
Outlier AI
Montreal, QC · Greater Montreal Metropolitan Area
- Full-time
We are proficient in at least two major programming languages, such as Python, JavaScript, Go, or Java, and have worked with SQL databases.
Added 1 min ago
OA
AI Workflow Engineer
Outlier AI
Montreal, QC · Greater Montreal Metropolitan Area
- Full-time
We are highly proficient in at least two major programming languages, such as Python, JavaScript, Go, or Java, and we have experience working with SQL databases.
Added 1 min ago
OA
AI Tools Engineer
Outlier AI
Montreal, QC · Greater Montreal Metropolitan Area
- Full-time
We are proficient in at least two major programming languages, such as Python, JavaScript, Go, or Java, and we have experience working with SQL databases.
Added 1 min ago
SI
Python Developer
Spait Infotech
Canada
- Full-time
Develop and maintain applications using Python.
Added 2 mins ago
Field Embedded Solutions Analyst - Construction
Kiewit
Toronto, ON
Experience with analytics and data tools such as SQL, Python, Power BI, Excel, or comparable platforms. Familiarity with AI-enabled productivity tools and responsible AI practices is…
Added 47 mins ago
IF
Student - Data Science, Modeling and AI
iA Financial Group
Montreal, QC · Quebec, QC
- Full-time
Has knowledge of Python and common data science tools;
Added 47 mins ago
IF
Director - Credit Trading
iA Financial Group
Toronto, ON · Montreal, QC · Quebec, QC
- Full-time
· Brings additional value through coding skills in Python, SQL, and VBA.
Added 47 mins ago
IF
IT Solutions and Data Designer
iA Financial Group
Montreal, QC · Quebec, QC
- Full-time
Has strong proficiency in SQL and a solid knowledge of Python or an equivalent programming language;
Added 1 hour ago
SI
Full Stack Engineer
Stelvio Inc.
Saskatoon, SK
- Full-time
Knowledge of SQL and/or NoSQL database technologies.
Added 1 hour ago
SA
Senior Application Support Engineer (Trading & Market Data)
Solactive AG
Toronto, ON
- Full-time
Execute database changes and optimise SQL queries.
Added 2 hours ago
Lead Data Engineer
ZS
Toronto, ON
Proficiency in SQL, Python, or other relevant programming languages.
Added 3 hours ago
TI
Semantic Modeller
TS Imagine
Montreal, QC
- Full-time
Strong SQL skills and hands-on experience with Snowflake.
Added 3 hours ago
UO
Manager, Identity and Access Management
University of Waterloo
Waterloo, ON
- Full-time
At the University of Waterloo, we create and promote a culture where everyone can reach their full potential. As an employee, you get support & opportunities that empower you to advance…
Added 3 hours ago
MS
Consultant Conversion - Software Eng III : Job Level - Director
Morgan Stanley
Montreal, QC
- Full-time
We’re seeking someone to join our team as a Software Developer to design, build, and enhance surveillance technology solutions that help strengthen the Firm’s risk management capabilities…
Added 4 hours ago
SG
OTC Derivatives Analyst
S&P Global
Toronto, ON
- Full-time
Other programming experience in any language e.g., SQL, Python
Added 4 hours ago
CO
Intern, Data Scientist - Summer 2027
Capital One
Toronto, ON
- Full-time
Familiarity with SQL and/or data transformation tools such as dbt. Python experience would also be an asset.
Added 4 hours ago
S
AI Workflow & Operations Intern
Semtech
Richmond, BC · CAN - Richmond, BC
- Full-time
…Senior Director of Global Sales Operations to design, test, and document AI-enabled workflows that improve efficiency, consistency, and insight across real sales processes. This is not a…
Added 5 hours ago
R
Director, Counterparty Credit Risk Models, Global Risk Analytics
RBC
Toronto, ON
- Full-time
Strong data management and analysis skills (e.g. SQL and Excel).
Added 6 hours ago
SL
Data Scientist
Sun Life
Toronto, ON · Waterloo, ON · Sun Life Toronto One York
- Full-time
Fierce curiosity. You are drawn to discovering and leveraging data and taking on challenging business problems. An inquisitive mind. Driven to ask questions to help lead projects to…
Added 6 hours ago
F
Senior Software Engineer
Fleetworthy
AB · Edmonton, AB
- Full-time
Write efficient and well-structured SQL, and manage PostgreSQL database schemas
Added 6 hours ago
P
Digital Operations, Senior Associate
PwC
Toronto, ON · Ottawa, ON
- Full-time
Tools may include Python, R, and SQL; optimization solvers; simulation libraries; and enterprise or cloud data platforms.
Added 6 hours ago
AL
2027 Data Analytics & AltaGas - 2027 Process Automation Co-op Student
AltaGas Ltd.
Calgary, AB · AB - Calgary
- Full-time
Exposure to Power BI, Microsoft Fabric, SQL, Python, data visualization tools, or automation technologies is considered an asset.
Added 7 hours ago
CO
Application & Integration Technical Analyst
City of Saint John
Saint John, NB
- Full-time
Database querying and transformation: dbt, SQL (writing queries, joins, stored procedures)
Added 7 hours ago
B
Marketing Campaign Execution Manager
Blend
Toronto, ON
- $45 to $50 CAD / hour
- Contract
This role requires data literacy rather than technical analytics expertise; SQL, Python, data engineering, or software development experience is not required.
Added 9 hours ago
AC
Junior Trader (Blockchain)
AP Capital
Toronto, ON
- Full-time
Basic programming or scripting knowledge (Python, SQL, etc.) is a plus

Lead Data Engineer

55 York St 10th floor suite 1000, Toronto, ON, M5J 1R7, Canada

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Job details

Apply by: Oct 6, 2027
Experience: 8-10+ years of experience in data engineering, with a proven track record of designing and implementing scalable, high-performance data systems.
Posting language: English
Posted: Oct 6, 2026

Original job description

ZS is a place where passion changes lives. As a management consulting and technology firm focused on improving life and how we live it, we transform ideas into impact by bringing together data, science, technology and human ingenuity to deliver better outcomes for all. Here you’ll work side-by-side with a powerful collective of thinkers and experts shaping life-changing solutions for patients, caregivers and consumers, worldwide. ZSers drive impact by bringing a client-first mentality to each and every engagement. We partner collaboratively with our clients to develop custom solutions and technology products that create value and deliver company results across critical areas of their business. Bring your curiosity for learning, bold ideas, courage and passion to drive life-changing impact to ZS.

Overview:

The Data Engineering Lead is a senior technical professional responsible for designing, building, and optimizing scalable data architectures and processes to enable efficient data utilization and data-driven decision-making. This role combines deep technical expertise with strong leadership skills to drive best-in-class data engineering solutions and mentor junior team members.

What You’ll Do:

Oversee the design and implementation of robust, scalable, and reliable data systems, ensuring high performance and alignment with business goals.
Collaborate with cross-functional teams to understand data requirements and translate them into effective data architecture and engineering solutions.
Develop and manage software processes that facilitate seamless data movement between data warehouses, data lakes, and other internal systems.
Design and optimize ETL (Extract, Transform, Load) pipelines to prepare high-quality data for various stakeholders.
Design and build Data Ingestion frameworks, data quality frameworks and an integrated audit system.
Implement data quality assurance processes to identify and resolve data inconsistencies and issues.
Establish data governance practices to maintain data accuracy, integrity, and security.
Analyze data to derive meaningful insights that support data-driven decision-making.
Communicate findings and recommendations to stakeholders effectively.
Serve as a technical authority in data engineering, staying updated on industry trends and best practices.
Provide guidance and mentorship to junior Data Engineers, fostering their professional development.
Facilitate knowledge sharing, collaboration, and continuous improvement within the team.

What You’ll Bring:

A relevant Bachelors or higher-education degree in Computer Science, Data Science, or related fields.
8-10+ years of experience in data engineering, with a proven track record of designing and implementing scalable, high-performance data systems.
Proficiency in SQL, Python, or other relevant programming languages.
Strong understanding of data warehousing concepts and cloud-based data platforms (e.g., AWS, Azure, GCP).
Expertise in designing and implementing ETL processes, data modeling, and database management.
Familiarity with big data technologies (e.g., Hadoop, Spark, Kafka) and data integration tools.
Excellent problem-solving, critical thinking, and analytical skills.
Excellent communication, collaboration, and leadership skills.
Significant experience in leading small teams of Data Engineers and fostering their professional growth.
Demonstrated ability to collaborate with cross-functional teams and communicate technical solutions effectively.
Ability to travel to other offices or client locations as needed.
Fluency in English
Client-first mentality
Intense work ethic
Collaborative spirit and problem-solving approach

How you’ll grow:

Cross-functional skills development & custom learning pathways
Milestone training programs aligned to career progression opportunities
Internal mobility paths that empower growth via s-curves, individual contribution and role expansions

Perks & Benefits:

At ZS, your growth matters. We offer a comprehensive total rewards package that supports your health and well‑being, financial future, time away, and professional development. With robust skills‑building programs, multiple career progression paths, internal mobility, and a deeply collaborative culture, you’ll have the opportunity to do meaningful work, expand your capabilities, and thrive as part of a global community. For details on total rewards in Canada, visit ZS Canada office locations | Where we work | ZS.

Hybrid working model:

We are committed to giving our employees a flexible and connected way of working. A flexible and connected ZS allows us to combine work from home and on-site presence at clients/ZS offices for the majority of our week. The magic of ZS culture and innovation thrives in both planned and spontaneous face-to-face connections.

Travel:

Travel is a requirement at ZS for client facing ZSers; business needs of your project and client are the priority. While some projects may be local, all client-facing ZSers should be prepared to travel as needed. Travel provides opportunities to strengthen client relationships, gain diverse experiences, and enhance professional growth by working in different environments and cultures.

Considering applying?

At ZS, we honor the visible and invisible elements of our identities, personal experiences, and belief systems - the ones that comprise us as individuals, shape who we are, and make us unique. We believe your personal interests, identities, and desire to learn are integral to your success here. We are committed to building a team that reflects a broad variety of backgrounds, perspectives, and experiences. Learn more about our inclusion and belonging efforts and the networks ZS supports to assist our ZSers in cultivating community spaces and obtaining the resources they need to thrive.

If you’re eager to grow, contribute, and bring your unique self to our work, we encourage you to apply.

ZS is an equal opportunity employer and is committed to providing equal employment and advancement opportunities without regard to any class protected by applicable law.

To complete your application:
Candidates must possess or be able to obtain work authorization for their intended country of employment. An on-line application, including a full set of transcripts (official or unofficial), is required to be considered.

NO AGENCY CALLS, PLEASE.

Find Out More At:
www.zs.com

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More about this job

Responsibilities

The Data Engineering Lead designs, builds, and optimizes scalable data architectures and ETL pipelines to support data-driven decision-making. They also provide technical leadership, mentor junior engineers, and establish data governance practices to ensure data quality and security.

Requirements

Candidates must have a bachelor's degree or higher in Computer Science, Data Science, or a related field. The role requires 8-10+ years of experience in data engineering, proficiency in SQL and Python, and expertise in cloud-based data platforms and big data technologies.

Skills

Data Engineering
SQL
Python
Data Warehousing
Cloud Platforms
ETL
Data Modeling
Database Management
Big Data Technologies
Hadoop
Spark
Kafka
Data Governance
Leadership
Mentorship
Problem-solving

Benefits

Health and well-being programs
Financial future planning
Professional development
Skills-building programs
Career progression paths
Internal mobility

Visa sponsorship

Not detected in the job text

Keywords

Data Engineering
SQL
Python
AWS
Azure
GCP
ETL
Data Warehousing
Data Lakes
Hadoop
Spark
Kafka
Data Governance
Data Quality
Data Ingestion
Cloud Computing
Management Consulting
Leadership
Mentorship
Data Architecture
Database Management
Data Modeling
Analytical Skills
Cross-functional Collaboration
Technology

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