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Added 26 days ago
AS
Agentic AI Specialist
Adamson Systems Engineering
Port Perry, ON
- $70,000 to $90,000 CAD / year
- Full-time
Advanced Python development skills, including asynchronous programming with asyncio.
Added 26 days ago
SE
Senior AI Software Engineer
Stikeman Elliott LLP
Toronto, ON
- Full-time
Expert proficiency in Python, including asynchronous development, testing, and modern web frameworks such as FastAPI; working knowledge of TypeScript, Node.js, and front-end development.
Added 26 days ago
KB
AI Engineer
KidKare by MinuteMenu
Canada
- Full-time
Added 26 days ago
R
Data Analyst - Expert
Raise
Toronto, ON
- Full-time
Build Python notebooks using Spark and implement Medallion Architecture.
Added 26 days ago
V
Back End Developer
VySystems
Toronto, ON
- Full-time
Proficiency writing high-quality, well-tested code using one or more languages (e.g., Python, Next.js, React, Golang, C#), building APIs, and building/using databases (e.g., Postgres,…
Added 26 days ago
M
Technical Lead Data
Marsh
Toronto, ON
- Full-time
Build with your hands. You write code. You build pipelines. You debug production issues. You're comfortable in SQL, Python, and Spark, and you use them regularly, not as a party trick, but…
Added 26 days ago
BC
Integration Developer
Bunzl Canada
Canada
- Full-time
We are seeking a skilled Integration Developer to contribute to our composable architecture application initiatives, including microservices, integration platforms, and best-of-breed…
Added 26 days ago
O
Sr. IT Software Developer
OpenText
Waterloo, ON
- Full-time
We are seeking a Senior Software Developer to support and enhance critical customer service and service management platforms, including ServiceNow, Siebel CRM, Oracle B2C Service, and other…
Added 26 days ago
G
Senior Software Engineer
Gogo
Ottawa, ON
- Full-time
Develop and maintain Linux-based software using Python, Linux scripting languages, Go, C, and C++
Added 26 days ago
O
Sr. IT Software Developer
OpenText
Richmond Hill, ON
- Full-time
We are seeking a Senior Software Developer to support and enhance critical customer service and service management platforms, including ServiceNow, Siebel CRM, Oracle B2C Service, and other…
Added 26 days ago
O
Sr. IT Software Developer
OpenText
Mississauga, ON
- Full-time
We are seeking a Senior Software Developer to support and enhance critical customer service and service management platforms, including ServiceNow, Siebel CRM, Oracle B2C Service, and other…
Added 26 days ago
O
Technical Account Manager (Canada - Enterprise - Auth0)
Okta
Toronto, ON
- Full-time
Auth0 Universal Login, custom login flows, and modern developer SDKs (e.g., Auth0 SPA JS, Auth0 React, Auth0 Next.js, Auth0 Python/Node.js).
Added 26 days ago
CI
DevOps Principal·e / Principal DevOps
Cloud Imperium Games Montreal
Montreal, QC
- Full-time
Bonne connaissance des langages de scripts tels que: bash, python ou similaire...
Added 26 days ago
UO
Bioinformatician, Data Analysis, Cumming School of Medicine
University of Calgary
Calgary, AB
- Full-time
Proficiency in at least one programming language (such as Python or R) commonly used in bioinformatics
Added 26 days ago
UO
Agriculture Extension Specialist, Simpson Centre for Food and Agricultural Policy
University of Calgary
Calgary, AB
- Part-time
Experience related to computer programming will be considered an asset (e.g., python, R)
Added 26 days ago
C
Coop AI Developer
CGI
AB · Edmonton, AB
- Full-time
We are seeking a Developer to join the Emerging Technology Practice team. This role is an excellent opportunity to support a growing portfolio of artificial intelligence initiatives,…
Added 26 days ago
V
Model Risk Governance Specialist
Vertage
Montreal, QC
- Contract
Added 26 days ago
SP
Software Engineering LMTS
Salesforce Partner Canada
Vancouver, BC
- Full-time
Deep knowledge of object-oriented programming languages: Java, C++, Go, C#, Ruby, Scala, Python, Node.js, or JavaScript
Added 26 days ago
C
Senior Java Full Stack Developer
CGI
Toronto, ON
- Full-time
This strategic role will support CGI's continued growth within the account. The Senior Java Full Stack Developer will lead the design and delivery of scalable, secure, and high performing…
Added 26 days ago
KA
Cloud Platform Engineer – Kubernetes
KData AI
Toronto, ON · Greater Toronto Area, Canada
- Full-time
Develop automation and supporting tooling using Python; experience with Go is beneficial.
Added 26 days ago
S
Applied Research Scientist
Sixone
Burnaby, BC
- $85,000 to $135,000 CAD / year
- Full-time
Added 26 days ago
GC
HIL Validation Engineer
Global Connect Technologies
Windsor, ON
- Full-time
Develop and maintain Python scripts to automate testing and validation activities.
Added 26 days ago
GL
Vmware Engineer
Green Light Worldwide
Toronto, ON
- Contract
Strong scripting skills (e.g., PowerCLI, Python, JavaScript).
Added 26 days ago
HR
Project Management Intern (Winter 2027, 12months)
Hitachi Rail
Toronto, ON
- $23 to $30 CAD / hour
- Full-time
Contribute to the development and implementation of AI, automation, and business intelligence solutions, including Python-based tools, to streamline recurring PMO activities and reporting.
Added 26 days ago
FC
Managed Accounts Portfolio Services Group Analyst
Fidelity Canada
Toronto, ON
- Full-time
Excellent analytical and technical skills, including an advanced level understanding of Microsoft Excel is required. Experience with Access, VBA, SQL, and Python is considered an asset.

Marsh

Technical Lead Data

Toronto, ON, Canada

Full-time

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Job details

Job type: Full-time
Apply by: Nov 12, 2026
Experience: 5+ years of hands-on data engineering experience, with at least some time leading or mentoring other engineers
Posting language: English
Posted: Oct 13, 2026

Original job description

Location: Mexico City/MX or Toronto/CA

Hybrid mode

This is a hands-on leadership role. You lead a squad of data engineers and you also build things yourself. You're the person who can whiteboard a data model in the morning, pair with an engineer on a tricky pipeline in the afternoon, and present a delivery plan to a business stakeholder before end of day. You don't just point; you drive.

You'll own technical delivery for priority initiatives within Marsh’s Innovation & Data Office (IDO). The expectation is fungibility, not permanent domain alignment. As IDO's priorities evolve, so will yours. The constant is the quality of your engineering leadership, not the label on the work.

Your squad will be a mix of employees and contractors, and you'll be responsible for making that team perform as a unit: setting standards, unblocking problems, mentoring engineers, and holding the bar on quality. The work lands in Databricks. The outcomes land in the business.

The key distinction: This is not a people-management role that happens to involve data. It's a hands-on technical leadership role where managing people is one of the things you do, alongside designing architectures, writing code, reviewing PRs, and solving hard data problems. If your last few years have been spent in meetings about data rather than working with data, this isn't the right fit.

What You Will Do:

Lead a delivery squad. You'll run a pod of 4-8 data engineers (employees and contractors) assembled against a business outcome. You set the technical direction, decompose work, manage sprint-level execution, and are accountable for what the squad ships. When the initiative concludes or transitions to steady state, you and your engineers move to the next priority.
Build with your hands. You write code. You build pipelines. You debug production issues. You're comfortable in SQL, Python, and Spark, and you use them regularly, not as a party trick, but as your primary tools. When something is broken or behind, you can step in and do the work, not just escalate it.
Design before you build. You think in terms of data models, medallion architectures, ingestion contracts, and reusable patterns. You design solutions that are maintainable and that the next engineer can understand without an archaeology expedition. You care about schema evolution, data quality checks, idempotency, and lineage, not because someone told you to, but because you've been burned when those things were missing.
Engage with the business. You're not building pipelines into a void. You'll work directly with Engagement Leads and business stakeholders to understand what they need, why they need it, and what "done" looks like. You translate business problems into data solutions and push back when what's being asked for doesn't make technical sense. You're comfortable in a room with non-technical leaders and can explain complexity without hiding behind jargon.
Drive engineering standards. CI/CD, version control, testing, code review, documentation: these aren't aspirational for you, they're how you've always worked. You'll bring these practices to your squad and raise the bar for everyone around you. You care about developer experience and operational excellence, not just feature delivery.
Operate on a modern stack. The platform is Databricks (Unity Catalog, Delta Lake, Spark, medallion architecture) running on AWS and Azure. You'll work with infrastructure-as-code, Git-based workflows, and pipeline orchestration tooling. If you've spent the last several years in the Databricks ecosystem, great. If you've built equivalent capabilities on other modern platforms and can ramp quickly, that works too.

What We're Looking For:

Essential:

5+ years of hands-on data engineering experience, with at least some time leading or mentoring other engineers
Strong proficiency in SQL, Python, and Spark, used recently and regularly, not years ago
Real experience with cloud data platforms (Databricks strongly preferred; Snowflake, Synapse, or similar accepted) on AWS, Azure, or GCP
Demonstrated ability to lead a mixed team of employees and contractors: setting expectations, managing performance, building cohesion across employment types
Fluency with modern engineering practices: Git, CI/CD, automated testing, infrastructure-as-code, DataOps
The instinct to understand why something is being built, not just how. Intellectual curiosity about the business domain you're working in
Clear communication skills; you can explain a technical tradeoff to a business leader and a business requirement to an engineer with equal ease

Valued:

Experience with Databricks specifically: Unity Catalog, Delta Lake, medallion architecture, Databricks workflows
Experience with dbt or similar transformation frameworks
Familiarity with data governance patterns: lineage, access controls, metadata management, data quality frameworks
Prior work in financial services, insurance, benefits, or consulting environments
Experience with document or unstructured data ingestion pipelines
Exposure to LLM-based tooling, AI-assisted development, or analytics engineering

Marsh (NYSE: MRSH) is a global leader in risk, reinsurance and capital, people and investments, and management consulting, advising clients in 130 countries. With annual revenue of over $27 billion and more than 95,000 colleagues, Marsh helps build the confidence to thrive through the power of perspective. For more information, visit marsh.com, or follow us on LinkedIn and X.

Marsh is committed to creating a diverse, inclusive and flexible work environment. We aim to attract and retain the best people and embrace diversity of age, background, disability, ethnic origin, family duties, gender orientation or expression, marital status, nationality, parental status, personal or social status, political affiliation, race, religion and beliefs, sex/gender, sexual orientation or expression, skin color, or any other characteristic protected by applicable law.

Marsh is committed to hybrid work, which includes the flexibility of working remotely and the collaboration, connections and professional development benefits of working together in the office. All Marsh colleagues are expected to be in their local office or working onsite with clients at least three days per week. Office-based teams will identify at least one “anchor day” per week on which their full team will be together in person.

R_367753

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More about this job

Responsibilities

Lead a squad of 4–8 data engineers, set technical direction and engineering standards, and remain hands-on by designing architectures, writing code, building pipelines, and resolving production issues. Partner with business stakeholders to translate needs into maintainable data solutions and deliver priority initiatives using modern cloud data platforms.

Requirements

Requires 5+ years of hands-on data engineering experience, including some leadership or mentoring, with recent proficiency in SQL, Python, and Spark and experience with cloud data platforms. Candidates should have experience leading mixed employee-contractor teams, modern engineering practices such as Git, CI/CD, testing, infrastructure as code, and DataOps, plus strong communication and business understanding.

Skills

Data Engineering
Technical Leadership
SQL
Python
Apache Spark
Databricks
Cloud Data Platforms
Data Modeling
Medallion Architecture
Data Pipelines
Git
CI/CD
Automated Testing
Infrastructure as Code
DataOps
Team Mentoring

Visa sponsorship

Not detected in the job text

Keywords

Databricks
Unity Catalog
Delta Lake
Apache Spark
SQL
Python
AWS
Azure
Google Cloud Platform
Snowflake
Azure Synapse
Medallion Architecture
Data Modeling
Data Ingestion
Data Pipelines
Schema Evolution
Data Quality
Data Lineage
Data Governance
Git
CI/CD
Automated Testing
Infrastructure as Code
DataOps
dbt
Pipeline Orchestration
Financial Services
Insurance
Unstructured Data
LLM-Based Tooling

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