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Added 2 months ago
S
Senior Data Engineer
ShyftLabs
Toronto, ON
- Full-time
…discovery through production deployment. You'll partner directly with client stakeholders to understand business objectives, define technical strategy, architect scalable cloud solutions,…
Added 2 months ago
Software Developer - Core Data
Squarepoint Capital
Montreal, QC
We are looking for talented software engineers with strong Python and/or kdb+/q experience to join our team. You will be part of a collaborative, learning-oriented environment where…
Added 1 month ago
DI
Python Developer
Dawn InfoTek
Toronto, ON
- Contract
We are looking for an experienced Python Developer with hands-on experience in Microsoft Copilot and AI Agents to join our Digital Applications team.
Added 4 months ago
E
Senior Fullstack Engineer (Node. js)
Experity
Chiasson Office, NB
- Full-time
Strong experience with SQL databases (PostgreSQL, SQL Server).
Added 4 months ago
L
Java Developer with QA
LTM
Ontario · Ontario, Canada
- $85,000 to $120,000 USD / year
- Full-time
Strong understanding and working knowledge of SQL and NoSQL databases with experience implementing automated data validations
Added 4 months ago
T
Senior AI Productivity Analyst, Data Analytics
Techedin
Toronto, Ontario
- $60 to $70 CAD / hour
- Full-time
…engineering and product teams. In this position, you will work with cross-functional stakeholders to evaluate AI adoption, uncover productivity insights, and translate complex data into…
Added 4 months ago
KC
Manager, Financial Crimes- Data Analytics
KPMG Canada
Ottawa, Ontario
- Full-time
…test and validate financial crime systems and models using SQL, Python, R, and other programming languages, performing statistical analyses on samples, interpreting results, and effectively…
Added 4 months ago
KC
Manager, Financial Crimes- Data Analytics
KPMG Canada
Toronto, Ontario
- Full-time
…test and validate financial crime systems and models using SQL, Python, R, and other programming languages, performing statistical analyses on samples, interpreting results, and effectively…
Added 4 months ago
C
Data Analyst Specialist.
Cogeco
Remote, Canada
- $35,000 to $60,000 USD / year
- Full-time
- Remote
Experience with Python or R for data analysis
Added 2 months ago
Resource Analyst
Government of Alberta
Edmonton, AB
…high-quality forest growth and yield information? Do you enjoy working with permanent sample plot data, forest mensuration, sampling design, statistics, and data management to inform…
Added 3 months ago
Data Scientist
Government of Alberta
Edmonton, AB
Hands-on experience with SQL for data extraction and manipulations
Added 1 month ago
Z
Architect - FinOps
Zynga
Toronto, ON
- $156,140 to $206,140 CAD / year
Assist Data Analysts with designing SQL tables and using Tableau effectively for accurate data analysis
Added 2 months ago
F
Senior Director, Pricing
Financeit
Remote, Canada
- Full-time
- Remote
Experience with predictive analysis (Python or R) is highly preferred
Added 3 months ago
Senior Technology Manager, Data Delivery
Equitable
Waterloo, ON
…technology assets within a technology platform, in collaboration with business and IT roles on solution design and development of systems, and applications that may depend on or are used by…
Added 4 months ago
E
Senior Manager, Data Engineering
ecobee
Toronto, Ontario
- Full-time
We’re helping build the world of tomorrow with solutions that improve everyday life while making a positive impact on the planet. Our products and services work in harmony to provide…
Added 4 months ago
LI
DevOps Engineer
LanceSoft, Inc.
Montreal, Quebec
- Contract
…and several supporting services. This role blends hands on Python engineering, platform integration, DevOps practices, and production support. The successful candidate brings a strong sense…
Added 4 months ago
F
Senior Back End Engineer (Data Platform)
Forma.ai
Toronto, Ontario
- $150,000 to $190,000 CAD / year
- Full-time
We are low on meetings and high on accountability. Most of the team is in the EST time zone, with a few located in PST and Central as well. We are still evolving many areas of the platform,…
Added 4 months ago
G
Spécialiste en tests logiciels / Software Test Specialist
Genetec
Montreal, Quebec
- Full-time
Connaissance de la programmation orientée objet et les langages de script (C#, F#, PowerShell, Python)
Added 3 months ago
BA
Director, Internal Audit Analytics & Artificial Intelligence
Brookfield Asset Management
Toronto, ON · Brookfield Place
- Full-time
Provide technical direction for Power BI, Alteryx, SQL, Python and LLM tools (Microsoft Copilot, ChatGPT, Claude), including prompt engineering, automation and agents.
Added 3 months ago
PF
Decision Science Analyst
Pattison Food Group
Langley (District), BC · Langley Office - Langley BC
- Full-time
Advanced Python coding skills and understanding of SQL.
Added 3 months ago
V
Senior Machine Learning Engineer
Vancity
Vancouver, BC
- Full-time
Strong proficiency in Python and SQL, with solid software engineering fundamentals including data structures, algorithms, and object-oriented design
Added 1 month ago
PC
Senior Automation Engineer - Toronto, ON (Hybrid)
Pozent Corporation
Toronto, ON
- Contract
Design, build, and maintain automated test frameworks and scripts independently to improve efficiency and test coverage, working in an Agile environment with business and T&D partner teams.
Added 1 month ago
PC
Senior Java Developer - Toronto, ON (Hybrid)
Pozent Corporation
Toronto, ON
- Contract
Experience with SQL queries and Docker/Kubernetes.
Added 1 month ago
TL
Financial Systems Specialist
The Law Office Management Association (TLOMA)
Toronto, ON
- Full-time
Working knowledge of SQL scripts, Python, VB, Power Automate, Power BI, SSIS and SSRS
Added 1 month ago
BP
Senior MSSQL/Sybase Database Administrator – VP
BNP Paribas
Montreal, QC
- Full-time
…core database estate, specifically focusing on Sybase (ASE/IQ) with Replication Server, Microsoft SQL Server with Always on, and MongoDB replica sets. The successful candidate will manage a…

ShyftLabs

Senior Data Engineer

Toronto, ON, Canada

$140,000 – $180,000 (CAD) · Full-time

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Job details

Pay: $140,000 – $180,000 (CAD)
Job type: Full-time
Posting language: English
Posted: Jul 28, 2026

Original job description

About ShyftLabs

At ShyftLabs, we live and breathe data. Since 2020, we've been helping Fortune 500 companies unlock growth with cutting-edge digital solutions that transform industries and create measurable business impact. We're growing fast, and we're looking for passionate technical leaders who are excited to solve complex data challenges, build modern cloud platforms, and deliver innovative solutions for enterprise clients.

The Opportunity

ShyftLabs is seeking an experienced Senior / Lead Data Engineer to lead the design, architecture, and delivery of enterprise-scale data platforms for Fortune 500 organizations. This is a highly client-facing leadership role responsible for owning projects from discovery through production deployment. You'll partner directly with client stakeholders to understand business objectives, define technical strategy, architect scalable cloud solutions, and lead engineering teams through successful delivery. The ideal candidate combines deep hands-on expertise with Databricks, Apache Spark, Python, SQL, and modern cloud platforms with proven experience leading complex data modernization initiatives. You'll play a key role in shaping technical direction, mentoring engineers, establishing engineering best practices, and delivering scalable data products that enable analytics, AI, and machine learning.

\nWhat You'll Be Doing

Technical Leadership

Lead the architecture, design, and implementation of enterprise-scale data platforms from project inception through production deployment.
Own technical delivery across multiple client engagements while ensuring high-quality engineering standards.
Define solution architecture, technical roadmaps, and implementation strategies aligned with client business goals.
Conduct architecture reviews, code reviews, and establish engineering best practices across project teams.
Mentor and coach Data Engineers while fostering technical excellence and continuous learning.
Serve as the primary technical leader for complex engineering initiatives and critical project decisions.

Client Partnership

Partner directly with Fortune 500 clients to understand business requirements and translate them into scalable technical solutions.
Lead discovery workshops, architecture sessions, and technical planning meetings with both business and engineering stakeholders.
Present solution designs, delivery plans, and architectural recommendations to technical leadership and executive audiences.
Build trusted relationships with client teams while providing technical guidance throughout project execution.
Support pre-sales activities by contributing technical expertise, solution estimates, and implementation approaches when required.

Data Engineering & Platform Development

Design, develop, and optimize enterprise-grade data pipelines using the Databricks Unified Analytics Platform.
Build scalable ETL and ELT frameworks capable of processing large-scale structured and unstructured datasets.
Design and implement Lakehouse architectures using Delta Lake and Medallion design patterns.
Develop high-performance Spark applications for batch and real-time data processing.
Integrate data from enterprise applications, APIs, streaming platforms, and cloud storage solutions.
Ensure data quality, integrity, and reliability through automated validation, testing, and monitoring.

Cloud & DevOps

Architect cloud-native data platforms across AWS, Azure, or Google Cloud Platform.
Implement Infrastructure-as-Code using Terraform or similar technologies.
Build and maintain CI/CD pipelines supporting automated testing and deployment.
Optimize cloud infrastructure for scalability, reliability, security, and cost efficiency.
Monitor platform performance and proactively resolve operational issues.

Data Governance & Security

Implement enterprise data governance frameworks and security best practices.
Configure Unity Catalog, metadata management, lineage, and role-based access controls.
Ensure compliance with organizational security standards and regulatory requirements.
Promote data observability and operational excellence across production environments

Cross-Functional Collaboration

Partner closely with Product Managers, Data Scientists, Analytics Engineers, Machine Learning Engineers, and Software Engineers to deliver high-impact data products.
Enable AI and machine learning initiatives through scalable feature engineering pipelines and production-ready datasets.
Contribute reusable frameworks, accelerators, and engineering standards that improve delivery across client engagements.

What You'll Bring

Bachelor's or Master's degree in Computer Science, Data Engineering, Software Engineering, or a related technical discipline.
8+ years of experience designing and building enterprise-scale data platforms.
5+ years of hands-on experience with Databricks and Apache Spark.
Proven experience leading enterprise data engineering projects from architecture through production delivery.
Strong expertise in Python, SQL, and Spark for large-scale data processing.
Deep understanding of Delta Lake, Lakehouse architecture, and modern data platform design.
Experience working with AWS, Azure, or Google Cloud Platform.
Strong knowledge of ETL/ELT frameworks, distributed computing, and data modeling.
Experience implementing CI/CD pipelines and Infrastructure-as-Code.
Strong understanding of data governance, security, metadata management, and data quality practices.
Experience optimizing distributed data processing workloads for performance and cost.
Excellent communication and stakeholder management skills with experience working directly with enterprise clients.
Demonstrated ability to mentor engineers and lead technical initiatives

Nice to Have

Databricks Certified Professional Data Engineer certification.
Experience with Delta Live Tables, MLflow, Unity Catalog, and Databricks SQL.
Experience with Kafka, Kinesis, Event Hubs, or other streaming technologies.
Hands-on experience with Snowflake, dbt, Airflow, or modern data orchestration tools.
Experience with Kubernetes, Docker, and Terraform.
Knowledge of AI/ML data platforms, Feature Stores, or Retrieval-Augmented Generation (RAG) architectures.
Previous consulting or professional services experience delivering solutions for enterprise clients.
Experience within retail, e-commerce, financial services, logistics, healthcare, or ad-tech environments.

Salary Range

$140,000 – $180,000 (CAD)

Why You'll Love Working at ShyftLabs

Lead Enterprise Transformations: Design and deliver modern data platforms that power analytics, AI, and digital transformation initiatives for Fortune 500 organizations.

Technical Ownership: Drive architecture decisions, influence technical strategy, and lead projects from discovery through production.

Growth & Leadership: Mentor talented engineers, shape engineering best practices, and continue developing your technical and leadership skills.

Hybrid Flexibility: Work three days per week from our downtown Toronto office.

Comprehensive Benefits: 100% employer-paid health, dental, and vision coverage for you and your dependents from day one, along with ongoing learning and professional development opportunities.

Inclusion at ShyftLabs

We're building something big, and we want you on the journey with us. If you're ready to solve complex data challenges, lead enterprise projects, and build innovative solutions that create measurable business impact, we'd love to hear from you. ShyftLabs is an equal opportunity employer committed to creating a safe, diverse, and inclusive workplace. We encourage applicants of all backgrounds, including ethnicity, religion, disability status, gender identity, sexual orientation, family status, age, and nationality, to apply. If you require accommodation during the interview process, please let us know and we'll be happy to support you.

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More about this job

Responsibilities

Lead the architecture, design, and delivery of enterprise-scale data platforms while partnering with Fortune 500 clients to define technical strategy. You will mentor engineering teams, establish best practices, and ensure high-quality production deployment of scalable data products.

Requirements

Requires a Bachelor's or Master's degree in a technical discipline and 8+ years of experience in enterprise data platform development. Candidates must possess strong hands-on expertise in Databricks, Apache Spark, Python, and cloud-native infrastructure.

Skills

Data engineering
Databricks
Apache Spark
Python
SQL
Cloud architecture
ETL
ELT
Delta Lake
Lakehouse architecture
Terraform
CI/CD
Data governance
Data modeling
Distributed computing
Technical leadership

Benefits

Health insurance
Dental coverage
Vision coverage
Professional development
Learning opportunities

Visa sponsorship

Not detected in the job text

Keywords

Data Engineering
Databricks
Apache Spark
Python
SQL
Cloud Platforms
AWS
Azure
Google Cloud Platform
ETL
ELT
Delta Lake
Lakehouse
Terraform
CI/CD
Data Governance
Unity Catalog
Distributed Computing
Data Modeling
Infrastructure-as-Code
Consulting
Enterprise Architecture
Machine Learning
Analytics
Data Pipelines
Metadata Management
Data Quality
Technical Leadership
Mentorship
Stakeholder Management

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