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Added 7 days ago
Java Software Engineer
Randstad Enterprise
Montreal, QC
Full-time
We are seeking a Java Engineer in the Firm Market Risk Technology team, you will design, build, and optimize high-performance Java systems powering the Firm Market Risk Platform. In this…
Added 7 days ago
Data Engineer II (Restaurant AI CoPilot)
OpenTable
Toronto, ON
Proficiency in Python, SQL, and at least one strongly typed language (such as Java)
Added 7 days ago
Sr. Data Scientist
Charger Logistics Inc.
Brampton, ON
Full-time
Design scalable analytical data models in BigQuery, AlloyDB PostgreSQL, and Snowflake; optimize SQL-based feature engineering, data partitioning, and clustering.
Added 8 days ago
Machine Learning Engineer
Flair Airlines
Toronto, ON
Full-time
Join the Digital - Engineering team at Flair as a Machine Learning Engineer, where you will play a key role in designing, building, deploying, and maintaining production machine learning…
Added 7 days ago
Lead Software Engineer – AI, Data Visualization & Platform
Astucemedia
Montreal, QC
Full-time
As Lead Software Engineer – AI, Data Visualization & Platform, you will help bridge architectural vision, product innovation, advanced visualization, and day-to-day engineering execution.
Added 7 days ago
Ingénieur(e) de données principal(e) | Senior Data Engineer
ValPay
Montreal, QC · Saint-Laurent, QC
Full-time
Advanced SQL and strong Python (or a comparable language), with production engineering habits - version control, testing, code review, CI/CD.
Added 7 days ago
Senior Data Engineer
Galent
Markham, ON
Contract
Proficiency in SQL Python Shell and Terraform with a strong focus on performance reusability and maintainability
Added 8 days ago
Senior Data Quality Engineer - Zonda - Toronto, ON
CoStar Group
Toronto, ON
$120,000 to $150,000 CAD / year
Full-time
Develop reusable automated validation frameworks using SQL, Python, dbt, and other appropriate technologies.
Added 8 days ago
Senior Data Engineer - Zonda - Toronto, ON
CoStar Group
Toronto, ON
$120,000 to $150,000 CAD / year
Full-time
Develop and optimize data transformations and orchestrations using SQL, Python, dbt, Airflow, Glue, PostgreSQL, and Snowflake.
Added 7 days ago
Ingénieur(e) de données principal(e) | Senior Data Engineer
Valsoft Corporation
Montreal, QC · Saint-Laurent, Quebec
Full-time
Advanced SQL and strong Python (or a comparable language), with production engineering habits - version control, testing, code review, CI/CD.
Added 1 month ago
Senior Data Engineer, Temporary
Aviso
Vancouver, BC
Temporary
Implement modern data and analytics practices using tools such as Databricks, Snowflake, Salesforce, Python, and SQL
Added 9 days ago
Tech Lead | Canada
Cuesta Partners
Remote, Canada
$140,000 to $275,000 CAD / year
Full-time · Remote
Experience with data warehousing solutions, cloud platforms (e.g., AWS, Azure, GCP), and relevant tools (e.g.,SQL, Python, Spark).
Added 1 month ago
Senior Data Engineer, Temporary
Aviso
Toronto, ON
Temporary
Implement modern data and analytics practices using tools such as Databricks, Snowflake, Salesforce, Python, and SQL
Added 8 days ago
Full Stack Engineer
Zapcom Group Inc
Toronto, ON
$90,000 to $110,000 CAD / year
Full-time
Looking for Sr full stack developers 8+ year's experience who needs to have core Java, Spring boot skills on backend and JavaScript and React skills on frontend.
Added 17 days ago
Senior Data Engineer [GROWTH]
HelloFresh
Toronto, ON
Solid data engineering experience with the ability to design, implement, and deliver maintainable, high-quality code in Python and SQL
Added 8 days ago
Senior Data Engineer, Temporary
Aviso Wealth
Remote, Canada
Temporary · Remote
Implement modern data and analytics practices using tools such as Databricks, Snowflake, Salesforce, Python, and SQL
Added 8 days ago
Senior Data Engineer, Temporary
Aviso Wealth
Remote, Canada
Temporary · Remote
Implement modern data and analytics practices using tools such as Databricks, Snowflake, Salesforce, Python, and SQL
Added 8 days ago
Cloud Engineer
CDW Canada
Vancouver, BC · Greater Vancouver, BC
Contract
The Cloud Engineer designs, implements, secures, and supports the Company’s cloud infrastructure, with primary responsibility for Microsoft Azure and secondary support for Amazon Web…
Added 9 days ago
Business Solutions Developer
TC Energy
Calgary, AB
Full-time
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 8 days ago
Software Engineer (S/W Dev & AI Solutions)
Synpulse
Toronto, ON
Prepare, transform and analyze data using Python and SQL, checking data quality and validating results.
Added 8 days ago
Business Solutions Developer
TC Energy
Calgary, AB
Full-time
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 8 days ago
Senior Fullstack Engineer- Toronto
Sokin
Toronto, ON
Full-time
Design, develop, and maintain full-stack applications using Python, Flask, FastAPI, AWS, Angular and SQL databases.
Added 16 days ago
Machine Learning Engineer, Marketing
Bell
Toronto, ON
Proficient in data management and analytical programming languages (Python, SQL, R)
Added 8 days ago
Back End Developer-Python
SRA Group
Toronto, ON
Contract
Client is looking for a skilled Python Backend Engineer to build and scale high-performance backend systems. This role will focus on API development, platform engineering, and system…
Added 8 days ago
Lead Data Platform Engineer
SRA Group
Toronto, ON
Contract
Strong SQL skills and experience working with both relational and distributed data stores.

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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