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Added 5 days ago
Software Engineer
Beacon Software
Toronto, ON
Full-time
1–4 years of full-time software engineering experience with strong fluency in Python, TypeScript, or Go
Added 4 days ago
Senior AI Engineer
Encore Technical Solutions Inc.
Toronto, ON
Full-time
They're looking for a Senior AI Engineer to help design and build the agent infrastructure at the core of it: orchestration engines, the desktop agent harness, tool/skill registries, and…
Added 4 days ago
QA Automation Engineer with AI
Synechron
Calgary, AB
$75,000 to $85,000 CAD / year
Full-time
We are seeking a highly skilled Senior QA Automation Engineer with strong Java, Selenium, and AI experience.
Added 5 days ago
Développeur(euse) en Automatisation Assurance Qualité / Quality Assurance Automation Developer
OPAL-RT
Montreal, QC
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Added 12 days ago
Machine Learning Engineer, Marketing
Bell
Toronto, ON
Experience with analytical Python libraries (eg. TensorFlow, Keras, scikit-learn, pandas)
Added 5 days ago
Senior Software Engineer, Behavior Planning
AeroVect
Remote, Canada
$160,000 to $200,000 CAD / year
Full-time · Remote
This opportunity offers a deeply technical engineer the chance to shape a market-defining enterprise product that combines autonomous vehicle technology with a robotics-as-a-service (RaaS)…
Added 4 days ago
AI Engineer
Yeshnex IT Solutions
Canada
Contract
Proven track record of delivering production AI systems with end-to-end ownership Expert-level proficiency with AI coding assistants and agentic development workflows Strong full-stack…
Added 4 days ago
AI Platform Engineer, Enablement and Governance Operations
Kraken
Canada
Full-time
…offers spot trading, margin, futures, staking, and OTC services, with products built for both individual investors and institutional…
Added 4 days ago
Jr Data Engineer
Citylitics Inc.
Toronto, ON
$70,000 to $80,000 CAD / year
Full-time
…reliable sales intelligence. The platform integrates seamlessly with CRMs, ERPs, and data lakes, embedding actionable insights directly into sales workflows so teams can prioritize the…
Added 5 days ago
Presales Solutions Architect
Centrilogic
Toronto, ON
Full-time
…a Copilot or agentic AI engagement, and comfortable enough with Microsoft Fabric to qualify a data modernization opportunity and recognize when to pull in a specialist. Consultative…
Added 5 days ago
Cloud Engineer
RBC
Toronto, ON
Full-time
We're not looking for someone who just knows Kubernetes, Kafka, Elasticsearch, and Redis. We're looking for a Senior Engineer who treats AI-assisted engineering as a core skill - someone…
Added 4 days ago
Lead Data Platform Engineer
SRA Group
Toronto, ON
Contract
Strong proficiency in Python, including Pandas, NumPy, PySpark, with hands on experience using Impala.
Added 29 days ago
Senior Engineer, Applied AI
Fulfillment IQ
Toronto, ON
Full-time
A seasoned AI engineer (ninja-level) with hands-on experience in developing and deploying real LLM systems, who excels in environments with significant ownership responsibilities and values…
Added 8 days ago
Senior Lead AI Application Engineer (Global Security)
Royal Bank of Canada
Calgary, AB · Toronto, ON
Full-time
As the Senior Lead AI Application Engineer, you will lead multi-agentic application software engineering and full-stack delivery of secure, cloud native microservices that embed pragmatic…
Added 4 days ago
DevOps Engineer
Caspian One
Toronto, ON
$80 to $110 CAD / hour
Contract
(The team are working exclusively with Caspian One to build out this team)
Added 4 days ago
Python Automation Engineer
Themesoft Inc.
Halifax, NS
Contract
We are seeking a Temporal Automation Engineer with strong experience building workflow automation solutions using Temporal and Python.
Added 4 days ago
Forward Deployed Engineer (FDE) (Mid/Senior Level)
Salesforce Partner Canada
Toronto, ON
Full-time
…You'll work as part of a delivery team, partnering closely with a Deployment Strategist (Strategic Builder - a customer-facing advisor who shapes AI strategy and drives adoption) to…
Added 4 days ago
Freelance Agent Evaluation Engineer
Mindrift
Remote, Canada
Part-time · Remote
Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not…
Added 5 days ago
Machine Learning Engineer, AICE - AI Center of Excellence
Amazon
Vancouver, BC
…We develop AI capabilities independently and in partnership with product-owning teams to evolve Amazon's AI-driven operations and productivity. Our impact is enterprise-broad and…
Added 4 days ago
Data Engineer
DarkVision
North Vancouver, BC
Full-time
Our employees work on cutting-edge technologies that blend science with real-world applications. We invite you to join our team for the exciting journey ahead as we become the global leader…
Added 5 days ago
Technology Solutions Engineer Co-op/Internship (Winter 2027)
BCI
Victoria, BC · CA Victoria
Full-time
The Technology department is a strategic partner with BCI’s business areas. It enables investment processes and business activities that contribute to the achievement of BCI’s mission and…
Added 5 days ago
AI and Automation Engineer Co-op/Internship (Winter & Summer 2027)
BCI
Victoria, BC · CA Victoria
Full-time
The AI and Automation Engineer co-op/intern will work within our Digital Workplace team in the Technology department. This is a great opportunity for you to work hands-on with production AI…
Added 5 days ago
Lead Data/Analytics Engineer
dutch
Vancouver, BC
Full-time
We’re looking for a Lead Data/Analytics Engineer to own how Dutch measures its product and business. You’ll run the event instrumentation pipeline, build the models and metrics layers that…
Added 5 days ago
Staff Software Engineer, Fullstack
Cloudjobs
Toronto, ON
Full-time
…make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance…
Added 7 days ago
Machine Learning Engineer
ALS
Montreal, QC · CAN - QC - Montreal (Rue Saint-Nicolas)
We are seeking an Machine Learning Engineer to develop and apply advanced analytical and machine learning techniques that strengthen ALS Canada ltd scientific capabilities. You’ll work…

SRA Group

Lead Data Platform Engineer

Toronto, ON, Canada

Job type: Contract
Apply by: Oct 17, 2026
Experience: 8+ years of experience in data engineering, big data analytics, or enterprise data platforms, including 2+ years in a lead or technical leadership role.
Posting language: English
Posted: Sep 17, 2026

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Original job description

Job Title : Lead Data Platform Engineer

Location – Downtown Toronto (hybrid - minimum 3 days in a week)

Duration: 6 months with possible extensions

Key Responsibilities:

Lead the ingestion, transformation, aggregation, and processing of large scale datasets to enable advanced analytics and downstream consumption.

Design, build, and maintain robust, scalable data pipelines across Hadoop/Databricks and enterprise data platforms, ensuring high standards of data quality, reliability, performance, and availability.

Drive data unification initiatives, integrating multiple structured and semi structured data sources into a cohesive, governed analytical foundation.

Advanced Analytics Enablement

Manipulate and analyse high volume, high velocity, and high dimensional datasets using modern big data framework and/or Cloud native applications

Analyse large volumes of transactional and product data to produce insights and actionable recommendations that support business growth and value realisation.

Apply metrics, measurement frameworks, and benchmarking techniques to evaluate solution effectiveness and drive continuous improvement.

Cross Functional Collaboration

Partner with Product Managers, Data Science, Platform Strategy, and Technology teams to understand analytical and data requirements and translate them into scalable engineering solutions.

Act as a technical bridge between business, analytical, and engineering teams, clearly articulating architecture decisions, trade offs, and implementation approaches.

Enable alignment across stakeholders to ensure data solutions are directly tied to business and customer outcomes.

Innovation & Value Creation

Identify innovation opportunities and deliver proofs of concept, prototypes, and pilot solutions aligned to near term and future business needs.

Integrate new and emerging data assets that enhance existing platforms, products, and services, strengthening overall value propositions.

Gather and synthesise feedback from clients, product, engineering, and sales teams to inform new solutions and product enhancements.

Technical Leadership & Mentorship

Provide technical leadership, guidance, and mentorship to data engineers and analysts, setting standards for engineering quality, scalability, performance, and maintainability.

Promote best practices in data modelling, pipeline design, performance optimisation, and data governance.

Influence engineering standards, architectural consistency, and long term platform sustainability.

All About You

Technical Skills & Experience

• Strong proficiency in Python, including Pandas, NumPy, PySpark, with hands on experience using Impala.

• Proven experience working on Hadoop based platforms, performing large scale data extraction, transformation, and processing.

• Strong SQL skills and experience working with both relational and distributed data stores.

• Experience with enterprise data platforms and business intelligence ecosystems.

• Hands on experience with ETL / ELT and data integration tools, such as Apache Airflow, Apache NiFi, Azure Data Factory.

Experience in data modelling, querying, data mining, and reporting over large volumes of granular data.

Exposure to machine learning concepts and analytical techniques used in advanced data solutions and Feature calculations and Model serving is a big plus.

• 8+ years of experience in data engineering, big data analytics, or enterprise data platforms, including 2+ years in a lead or technical leadership role.

• Experience working with cloud based data platforms (Azure/AWS, Databricks/Snowflake), including data lakes, distributed compute, and storage services.

• Experience implementing CI/CD pipelines and DevOps practices for data engineering workflows.

GenAI / LLM Skills (Preferred)

Experience enabling GenAI/AI products through scalable, reliable data ingestion and transformation pipelines (batch and streaming).

Exposure to unstructured and semi-structured data processing (documents/logs/text) and building curated datasets for downstream consumption.

Strong understanding of data governance, privacy, and security requirements when using enterprise data with AI (PII handling, access control, auditability).

Familiarity with operationalizing AI data workflows (monitoring, data quality checks, reproducibility, and cost-aware scaling in cloud environments).

Analytical & Business Acumen

Strong experience collecting, standardising, and summarising diverse datasets while identifying patterns, inconsistencies, and data quality issues.

Solid understanding of how analytics, metrics, and visualisation support business decision making.

Ability to comprehend complex operational systems and deliver scalable analytics and information products to a global user base.

Ways of Working

Comfortable operating in a fast paced, delivery driven environment, both as a hands on contributor and a technical leader.

Ability to move seamlessly between business, analytical, and technical contexts, communicating clearly with diverse audiences.

Demonstrates Client’s DQ values, with a collaborative, inclusive, and customer centric mindset.

Note: Skills which is highlighted are Mandatory for this position.

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More about this job

Responsibilities

Lead the ingestion, transformation, and processing of large-scale datasets while designing and maintaining robust, scalable data pipelines. Act as a technical bridge between business and engineering teams to translate analytical requirements into actionable data solutions.

Requirements

Requires 8+ years of experience in data engineering or big data analytics, including 2+ years in a leadership role. Proficiency in Python, SQL, and Hadoop-based platforms is mandatory, along with experience in cloud-based data platforms like Azure, AWS, or Databricks.

Skills

Python
Pandas
NumPy
PySpark
Impala
Hadoop
SQL
Apache Airflow
Apache NiFi
Azure Data Factory
Data Modeling
Databricks
Snowflake
CI/CD
DevOps
Data Governance

Visa sponsorship

Not detected in the job text

Keywords

Data Platform Engineer
Python
Pandas
NumPy
PySpark
Impala
Hadoop
SQL
Apache Airflow
Apache NiFi
Azure Data Factory
Databricks
Snowflake
ETL
ELT
Data Modeling
CI/CD
DevOps
GenAI
LLM
Data Governance
Big Data
Cloud Native
Data Lakes
Distributed Compute
Data Mining
Machine Learning
Analytics
Data Engineering
Architecture

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