Senior Data Engineer
- Toronto, ON
- Senior
- Posted 6 days ago
or apply from Claude / ChatGPT / Muse
Data engineering and BI role on an analytics team, building models and pipelines and reporting in the cloud; hybrid, with up to 20% travel to the US.
About the role
Data model and pipeline work sits at the centre of this job, from source-to-target mapping through to semantic models and dashboards. The person also runs requirements sessions with clients and analysts across regions.
At a glance
- Pay
- Not stated in the posting
- Location
- Toronto, ON
- Seniority
- Senior
- Skills
- SQL, Python, Scala, Azure, AWS, GCP, Databricks, Snowflake
- Posted
- 29 Oct 2026
- Last checked
- 1 Nov 2026
What you will do
- Build and look after dimensional and 3NF data models that match business needs
- Design ETL pipelines that pull data from several systems into one platform, with mappings and rules
- Create semantic models plus reports and dashboards from business requirements
- Run requirements workshops and analyse data to pin down what is needed
- Work with clients and colleagues in different regions
What they look for
- At least 3 years designing data models across several subject areas
- At least 3 years building BI solutions and scalable pipelines into lakes and warehouses
- Hands-on SQL plus Python or Scala
- Experience with Azure, AWS or GCP and with Fabric, Databricks or Snowflake
- GIT, DevOps, CI/CD and version control, and a BI tool such as Power BI, QuickSight or Tableau
Benefits
- Competitive benefits and compensation package
- Hybrid working with in-person time when it helps clients and teams
How Keywordise applies for you
Alex Demo
[email protected]
From your CV
Yes, fully remote
- Sent
- 09:41
- Attached
- Your tailored CV
- 1Upload your CVAdd your CV once. It takes about a minute.
- 2Tailored to this jobKeywordise writes a CV and a cover letter for this job from your real experience.
- 3The form fills itselfName, email, experience and screening questions, field by field.
- 4Application sentYou get a receipt and follow it in your dashboard.
Apply with Keywordise AI7-day free trial, no card.
Apply from your AI assistant
Connect Keywordise to your assistant once, then send it the prompt. It applies for you.
Claude
- In Claude, open Settings, then Connectors, and choose Add custom connector.
- Name it Keywordise and paste the connector URL.
- Click Connect, log in to Keywordise and approve. Then send the prompt in a new chat.
https://keywordise.com/mcpDisconnect any time in your Keywordise settings.
ChatGPT
- In ChatGPT, open Settings, then Connectors. On plans that need it, turn on developer mode first.
- Add a new connector with the connector URL and choose OAuth. Leave the client ID and secret empty.
- Log in to Keywordise and approve. Then send the prompt in a new chat.
https://keywordise.com/mcpDisconnect any time in your Keywordise settings.
Muse
- Open Muse (muse.ai or the app) and send it the message below.
- If Muse asks how to sign in, answer OAuth. Open the sign-in link it sends, log in to Keywordise and approve.
- Send the prompt. Muse asks before it sends anything.
Add a custom connector called Keywordise. It is a remote MCP server at https://keywordise.com/mcp and uses OAuth. Give me the sign-in link.Muse is available in the US only for now.
Apply to Keywordise job oi72bc3ysfQuestions about this job
Where is this job based?
The posting lists Senior Data Engineer as a role based in Toronto, ON, Canada.
What does this job pay?
No pay range is stated in the posting.
What experience is needed?
It is a senior role. The posting asks for: at least 3 years designing data models across several subject areas; at least 3 years building BI solutions and scalable pipelines into lakes and warehouses; hands-on SQL plus Python or Scala. Skills it names include SQL, Python, Scala, Azure.
How do I apply with Keywordise AI?
Press the Apply with Keywordise AI button and add your CV. Keywordise tailors your CV and cover letter to this posting and sends the application for you, with a free 7-day trial and no card.
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