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RM
Manager - Diagnostic Imaging
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Kawartha Lakes, ON · Lindsay, ON
- Full-time
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Temporary Technical Lead (Housing Accelerator Fund) Up to 18 Months
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Saint John, NB
- Temporary
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- Full-time
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- Full-time
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- Part-time
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- $63,200 to $70,200 CAD / year
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- Full-time
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…of subject matter experts within the organization. They will lead a team who will strategize, support and lead projects and improvement initiatives with a focus on both proﬁtable growth and…
Added 14 mins ago
Manager, Sales Initiatives
CONA Services
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…of subject matter experts within the organization. They will lead a team who will strategize, support and lead projects and improvement initiatives with a focus on both proﬁtable growth and…
Added 14 mins ago
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Atlas Corp.

Data Engineering Team Lead

Vancouver, BC, Canada

$120,000 to $130,000 CAD / year

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Job details

Pay: $120,000 to $130,000 CAD / year
Posting language: English
Posted: Nov 9, 2026

Original job description

Seaspan employees are goal-driven and thrive in a high-performance culture. Our integrated business model, with over 25 years of fleet life-cycle management expertise, provides the world’s major shipping companies with long-term leases on large, modern and technologically advanced vessels, combined with industry-leading ship management services. As owner and operator of the vessels, we provide skilled officers and crews dedicated to the safe, reliable, and economical operation of our fleet. Seaspan's fleet has evolved over time to meet the varying needs of our customer base. We own vessels in a wide range of sizes, from 2,500 TEU to 24,000 TEU. Our main operating offices are located in Singapore, Vancouver, Hong Kong, and Mumbai.

The Data Development team's mission is to support Seaspan's growth by delivering trustworthy, scalable, and user-friendly data solutions for analytics, reporting, machine learning, and data-driven applications.

As Team Lead, Data Engineering, you will be a hands-on technical and people leader responsible for the day-to-day direction of the Data Engineering team. You will directly manage Data Engineers while remaining actively involved in solution design, development, code review, troubleshooting, and delivery using Databricks and Azure technologies.

You will balance team leadership with hands-on engineering to deliver reliable data pipelines, Lakehouse architecture, reusable data models, and enterprise data products. You will set priorities, assign work, coach team members, support performance and development discussions, remove delivery obstacles, and promote consistent engineering practices.

You will also collaborate with business stakeholders, Data Architects, Data Scientists, Analysts, application teams, Data Governance, and Cybersecurity. Success in this role requires strong technical judgment, problem-solving, communication, stakeholder management, documentation, and the ability to influence technical decisions and deliver through others.

Job Responsibilities:

Lead and directly manage Data Engineers.

Remain hands-on in solution design, development, code review, testing, troubleshooting, deployment, and production support.

Set technical direction and delivery priorities for the team.

Design, develop, and maintain scalable data solutions using Azure Databricks, Delta Lake, Unity Catalog, and Azure data services.

Build and optimize batch and real-time data pipelines.

Develop enterprise Lakehouse solutions and reusable dimensional data models that support reporting, analytics, machine learning, AI.

Develop robust ETL/ELT integrations across enterprise applications, APIs, databases, SaaS platforms, files, and external partners.

Support Data Operations Team for the resolution of data quality, integration, pipeline, and performance issues, including critical production incidents.

Apply data governance, lineage, cataloging, metadata, security, privacy, and access-control standards in partnership with Architecture, Data Governance, and Cybersecurity.

Establish and enforce engineering standards for version control, automated testing, code quality, deployment, CI/CD, documentation, and supportability.

Translate business requirements into practical technical designs, delivery plans, and integrated data solutions.

Coordinate team delivery with Data Analysts, Data Scientists, Architects, application teams, vendors, and business stakeholders.

Support secure enterprise data sharing and external data exchange solutions.

Contribute to solution reviews, roadmap planning, capacity planning, technology evaluations, and the evolution of Seaspan's enterprise data architecture.

Qualifications and Experience:

Bachelor's degree in Computer Science, Information Systems, Engineering, Mathematics, or a related discipline, or equivalent practical experience.

At least 7 years of experience in data engineering, data integration, or data platform development, including 3 years of hands-on experience with Azure Databricks or a comparable cloud data platform.

Experience designing and delivering enterprise-scale data lakes, data warehouses, or lakehouse architectures and leading data modernization initiatives.

Demonstrated experience leading Data Engineers, including assigning work, reviewing technical delivery, coaching team members, and supporting performance and career development.

Strong Python and SQL skills, including development of scalable ETL/ELT pipelines and processing of large datasets.

Strong knowledge of data modeling, dimensional modeling, and data warehouse design principles.

Working knowledge of data governance, data quality, metadata management, lineage, security, and access control.

Experience with Git, Azure DevOps, CI/CD pipelines, automated testing, and Infrastructure-as-Code practices.

Experience integrating REST APIs, MCP connectors, file-based interfaces, SaaS platforms, and external data-sharing solutions.

Relevant Azure data engineering or Databricks Certified Data Engineer Associate or Professional certification is a plus.

Experience with machine learning platforms, MLOps, streaming technologies, or real-time analytics.

Experience modernizing legacy data warehouse environments to cloud lakehouse architectures.

Experience in maritime, logistics, transportation, or industrial environments is an asset.

Additional Qualifications:

Periodic overtime may be required to support project deadlines, production deployments, or global stakeholder engagement.

Participation in after-hours support during critical incidents or platform upgrades may be required.

Compensation and Benefits Package:

Seaspan’s total compensation is based on our pay-for-performance philosophy that rewards team members who deliver on and demonstrate our high-performance culture. The hiring range for this position is $120,000 - $130,000 CAD per annum. The exact base salary offered will be commensurate with the incumbent’s experience, job-related skills and knowledge, and internal pay equity.

Seaspan Corporation is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, race, colour, religion, gender, sexual orientation, gender identity, national origin, disability, or protected Veteran status. We thank all applicants in advance. If your application is shortlisted to be included in the interview process, one of our team will be in contact with you.

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More about this job

Responsibilities

The Data Engineering Team Lead will manage the data engineering team while remaining hands-on with solution design, development, and code reviews. They are responsible for setting technical direction, building scalable data pipelines, and ensuring the delivery of reliable enterprise data products.

Requirements

Candidates must have at least 7 years of experience in data engineering, including 3 years of hands-on experience with Azure Databricks or similar cloud platforms. A bachelor's degree in a relevant field and strong proficiency in Python, SQL, and data modeling principles are required.

Skills

Data Engineering
Azure Databricks
Python
SQL
Delta Lake
Unity Catalog
Azure Data Services
ETL/ELT
Lakehouse Architecture
Data Modeling
CI/CD
Azure DevOps
Git
Data Governance
Leadership
Stakeholder Management

Visa sponsorship

Not detected in the job text

Keywords

Data Engineering
Azure Databricks
Delta Lake
Unity Catalog
Azure
Python
SQL
ETL
ELT
Lakehouse
Data Modeling
Dimensional Modeling
Data Governance
Data Quality
Metadata Management
Git
Azure DevOps
CI/CD
Infrastructure-as-Code
REST APIs
SaaS
Machine Learning
MLOps
Streaming
Real-time Analytics
Leadership
Stakeholder Management
Maritime
Logistics
Transportation

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