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Added 13 days ago
Quality Assurance Software Engineer - Contract Role
BonLook
AB
Full-time
Join our dynamic team as a QA Software Engineer! In this role you’ll be developing and executing comprehensive automated test plans and cases for all software projects. You’ll increase…
Added 13 days ago
SDET Contractor
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Added 13 days ago
Data Engineer
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Job Opening – Databricks Engineer – Location - Vancouver Canada
Added 13 days ago
Business Solutions Developer
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Write clean, maintainable code in languages such as Python, JavaScript, TypeScript, SQL, DAX, and Power Query to support application logic, data transformation, and analytics.
Added 13 days ago
NPI Test Engineer
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Added 13 days ago
Data Engineer - Capital Markets
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$110,000 to $120,000 USD / year
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Added 13 days ago
Senior Cloud Engineer - Google Firebase
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Added 13 days ago
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Added 13 days ago
Senior QA Automation Engineer
Global Technical Talent, an Inc. 5000 Company
Toronto, ON
$90 to $100 CAD / hour
Contract
…decision-making across the enterprise. As a Senior QA Automation Engineer, you will help build and evolve quality-control frameworks for complex data movement, large-volume data validation,…
Added 13 days ago
Software Engineer
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Full-time
1–4 years of full-time software engineering experience with strong fluency in Python, TypeScript, or Go
Added 13 days ago
QA Automation Engineer with AI
Synechron
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$75,000 to $85,000 CAD / year
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Added 13 days ago
Développeur(euse) en Automatisation Assurance Qualité / Quality Assurance Automation Developer
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Connaissances requises : Python, Linux, Jenkins, Groovy, Git/GitLab, scripts Shell, outils d’IA appliqués au développement logiciel.
Added 13 days ago
Senior Fullstack Engineer- Toronto
Sokin
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Added 13 days ago
Senior Software Engineer, Behavior Planning
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We are looking for an experienced Senior Software Engineer who can design and build best-in-class behavior planning systems for autonomous driving in structured, low-speed environments.
Added 13 days ago
Back End Developer-Python
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Toronto, ON
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Added 13 days ago
AI Platform Engineer, Enablement and Governance Operations
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Added 13 days ago
Jr Data Engineer
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Toronto, ON
$70,000 to $80,000 CAD / year
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Added 13 days ago
Presales Solutions Architect
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Added 13 days ago
Associate Verification Engineer
ecobee
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Full-time
As an Associate Verification Engineer, you will be at the forefront of validating and delivering high-reliability products and test systems for next-generation hardware. This role is ideal…
Added 13 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 13 days ago
DATA ENGINEER
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Mississauga, ON
Full-time
…#DataLineage #ReferenceData #DataAnalytics #Oracle #SQL #PLSQL #Python #Java #API #ETL #DataWarehouse #DataEngineering #SDKDevelopment #Citi #CitiBank #Altimetrik #MississaugaJobs…
Added 13 days ago
Data Modeler
Millennium Software and Staffing Inc
Toronto, ON
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We are looking for a Data Engineer with strong hands-on experience in Snowflake and dbt (Must Have).
Added 13 days ago
Associate Verification Engineer
Generac Power Systems
Toronto, ON · Canada - Toronto
Full-time
As an Associate Verification Engineer, you will be at the forefront of validating and delivering high-reliability products and test systems for next-generation hardware. This role is ideal…
Added 1 month ago
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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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