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Added 8 days ago
Senior Vehicle Systems Engineering
Geotab
Waterloo, ON
Ability to learn or write SQL queries and Python scripts to analyze Google BigQuery data; willingness to travel internationally up to 25% and a valid passport and driver’s licence for…
Added 8 days ago
KL
IT Analyst – Developer
Kativik llisarniliriniq
Montreal, QC
- Full-time
Experience with Python and C# programming languages
Added 8 days ago
Data Engineering & Analytics Student
Canadian Mental Health Association- Peel Branch
Brampton, ON
This role offers hands-on experience with Azure, SQL, Python, Power BI, automation, and AI tools while contributing to projects that support mental health and community services.
Added 8 days ago
T
Intern/ Co-op Winter 2027
TD
Toronto, ON
- Full-time
Experience with Python, SQL, VBA and Bloomberg is a plus (requirement of these skills vary by desks)
Added 8 days ago
E
Senior Analyst - Subsurface Innovation - 26352
Enverus
Calgary, AB
- Full-time
Advanced Excel skills; comfort with data tools (Python, SQL, Power BI, or Spotfire) and AI tools is a strong plus.
Added 8 days ago
EA
Pricing & Performance Analyst
Europ Assistance Canada
Toronto, ON
- Full-time
…travel insurance portfolio. The role builds the Excel models and proposal presentations behind partner tenders, renewals, and new business opportunities, and uses SQL and Python to monitor…
Added 8 days ago
C
Expert System Architecture - Google Cloud Platform and Gemini Entreprise-CA
CN
Toronto, ON
- Full-time
Build, deploy, and operate custom AI agents using Agent Development Kit (ADK), Agent Studio, Agent Runtime, Python, APIs, and Model Context Protocol (MCP).
Added 8 days ago
TD
Associate, Strategic Finance & Analytics
Tetra Digital Group
Toronto, ON
- $125,000 to $175,000 CAD / year
- Full-time
Strong financial modelling and quantitative skills - advanced Excel and PowerPoint required; SQL or Python a plus
Added 8 days ago
SJ
Principal Associate, Software Engineering
So Jobs
Toronto, ON
- Full-time
Are you passionate about improving developer productivity, building modern engineering platforms, and leveraging AI-powered tools to transform how software is developed at enterprise scale?
Added 8 days ago
H
Production Support Analyst
Hays
Montreal, QC
- Contract
Hands-on experience with PL/SQL, Shell Scripting, Python, and Perl.
Added 8 days ago
LC
Data Science Analyst
Loblaw Companies Limited
Brampton, ON
- Full-time
Strong proficiency in Python and SQL, with hands-on experience in data manipulation, exploratory data analysis, statistical modeling, machine learning development, and workflow automation.
Added 8 days ago
TR
Senior Software Engineer
Thomson Reuters
Toronto, ON · Canada, Toronto, Ontario
- Full-time
You will partner with Product, Architecture, Security, DevOps and engineering teams to improve platform reliability, deployment velocity, operational maturity and developer experience. This…
Added 8 days ago
M
Analyste principal(e) en intelligence d’affaires/ Senior Analyst, Business Intelligence (contrat 12 mois)
McKesson
Montreal, QC
- Full-time
Use Structured Query Language (SQL) to gather and assess data from the reporting database, transactional database, operational data store, and external systems to assist internal and…
Added 8 days ago
M
Senior Analyst, Business Intelligence (12 month Contract)
McKesson
Mississauga, ON
- Full-time
Use Structured Query Language (SQL) to gather and assess data from the reporting database, transactional database, operational data store, and external systems to assist internal and…
Added 8 days ago
AT
Power BI Developer
Arkhya Tech Inc.
Toronto, ON
- Contract
This position is for a Senior Data engineer with a background in Python, Pyspark, SQL and data warehousing for enterprise level systems
Added 8 days ago
RC
Guidewire Test Lead – P&C Insurance Domain
Realtek Consulting LLC
Markham, ON
- Contract
Experience with Postman, Swagger, SoapUI, REST/SOAP APIs, JSON, XML, and SQL.
Added 8 days ago
ZC
Data Engineer
Zurich Canada
Toronto, ON
- Full-time
Implement data transformations using Python and SQL, following established engineering standards and patterns
Added 8 days ago
B
Manager, Data Products & Analytics Modernization
BeachHead
Markham, ON
- Full-time
Apply Python, SQL, and Power BI to develop data solutions and conduct hands-on data analysis
Added 8 days ago
RB
Product Manager, Advanced Analytics, Tim Hortons, Canada
Restaurant Brands International
Toronto, ON · Corp - Toronto Corporate Office
- Full-time
Familiarity with data analysis languages (e.g. SQL & Python) and modern data tools (e.g., Databricks, Snowflake, AWS, Datadog, Adobe) and analytics visualization tools.
Added 8 days ago
Analyst, Core Engineering, GAFE, Global Banking and Markets - Toronto
Scotiabank
Toronto, ON
Experience with key-value stores and No-SQL databases like Redis and Cassandra
Added 8 days ago
E
Sr. Software Engineer - Backend
eBay
Toronto, ON
- Full-time
Direct experience with GCP services such as Cloud Run, Pub/Sub, Cloud SQL, and related managed infrastructure.
Added 8 days ago
AI Data Developer I, Professional Services, Google Cloud
Google
Toronto, ON
Experience with data platform administration or distributed data processing techniques, as well as writing software in Java, Python, or SQL.
Added 8 days ago
AI Data Developer II, Professional Services, Google Cloud
Google
Toronto, ON
Experience with database administration techniques or distributed data processing, as well as writing software in Java, Python, or SQL.
Added 8 days ago
OR
Data Engineer
OSL Retail Services Inc
Mississauga, ON
- Other
Knowledge of and experience with different data sources (SQL and NoSQL), programming (Python or R), XML, REST API and JavaScript,
Added 8 days ago
M
Senior Analyst, Digital Transformation & Automation
Medtronic
Brampton, ON
- Full-time
Use SQL, Python, DAX, Power Query, Snowflake, and similar technologies to analyze data and solve business problems.

Google

AI Data Developer II, Professional Services, Google Cloud

Toronto, ON, Canada

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Job details

Experience: 5 years of experience with data processing software (e.g., Spark, Beam) and algorithms.
Posting language: English
Posted: Oct 20, 2026

Original job description

Minimum qualifications:

Bachelor's degree in Computer Science, a related field, or equivalent practical experience.
5 years of experience with data processing software (e.g., Spark, Beam) and algorithms.
Experience managing client-facing projects, troubleshooting technical issues, and working with Developers and Sales Services teams
Experience with database administration techniques or distributed data processing, as well as writing software in Java, Python, or SQL.

Preferred qualifications:

Google Cloud Platform (GCP) Professional Data Certification(s).
Experience in technical consulting and working with data warehouses, including data warehouse technical architectures, infrastructure components, ETL/ELT, and reporting/analytic tools and environments.
Experience building production LLM/GenAI systems: multi-agent orchestration, agent frameworks (e.g. ADK), tool and function calling, RAG, and prompt/context development.
Experience architecting, developing software, or internet scale production-grade Big Data solutions in virtualized environments.
Experience building machine learning solutions and working with technical customers.

About the job:

The Google Cloud Consulting Professional Services team guides customers through the moments that matter most in their cloud journey to help businesses thrive. We help customers transform and evolve their business through the use of Google’s global network, web-scale data centers, and software infrastructure. As part of an innovative team in this rapidly growing business, you will help shape the future of businesses of all sizes and use technology to connect with customers, employees, and partners.

As a Data Developer, you'll guide customers on how to ingest, store, process, analyze, explore, and visualize data on Google Cloud Platform. You will lead data migrations and transformations, partner with clients to architect scalable data processing systems, build efficient data pipelines, and resolve platform challenges. In this role, you'll collaborate with Google's strategic cloud customers and our team to successfully implement Google Cloud products.

Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.

Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

Canada: $170000 - $174000 (CAD) + 15% bonus target + equity + benefits

Learn more about benefits at Google.

Responsibilities:

Act as a trusted technical advisor to customers and solve complex Big Data and AI challenges. Communicate effectively for client meetings and onsite delivery activities. Travel up to 30% of the time.
Lead the end-to-end delivery of enterprise-scale data platforms, enabling real-time ingestion and high-performance consumption for AI/ML and Agentic use cases.
Own the operational lifecycle of data products - including governance, security, cost-efficiency, and SLA management - in collaboration with stakeholders to drive long-term technical strategy.
Create and deliver best practice recommendations, tutorials, blog articles, sample code, and technical presentations, tailoring approach and messaging to varied levels of business and technical stakeholders.
Analyze on-premises and cloud data platform environments and consult on the optimal design for performance and deployment on Google Cloud Platform.

Apply About employer

More about this job

Responsibilities

Act as a trusted technical advisor to customers, solving complex Big Data and AI challenges while leading the end-to-end delivery of enterprise-scale data platforms. Manage the operational lifecycle of data products and create technical documentation and best practice recommendations for stakeholders.

Requirements

Requires a bachelor's degree in Computer Science or a related field and at least 5 years of experience with data processing software and algorithms. Candidates must have experience in technical consulting, database administration, and proficiency in Java, Python, or SQL.

Skills

Data processing
Spark
Beam
Java
Python
SQL
Database administration
Distributed data processing
Technical consulting
Data warehousing
ETL/ELT
LLM
GenAI
RAG
Big Data
Machine learning

Benefits

Bonus
Equity
Health benefits

Visa sponsorship

Not detected in the job text

Keywords

Google Cloud Platform
Spark
Beam
Java
Python
SQL
Data warehousing
ETL
ELT
LLM
GenAI
RAG
Big Data
Machine learning
Data migration
Data pipelines
Cloud computing
Technical consulting
Data governance
SLA management
Agentic systems
Multi-agent orchestration
Prompt engineering
Virtualized environments
Enterprise-scale platforms

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