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BB
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- $16.6 to $28.85 CAD / hour
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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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