Senior Data Platform Engineer
- Remote, United Kingdom
- Senior
- Posted 2 days ago
or apply from Claude / ChatGPT / Muse
Platform engineering role focused on Databricks and AWS, building the infrastructure behind machine learning workflows; hybrid work with data science and infra teams.
About the role
Ownership of the Databricks estate and the cloud plumbing that makes ML runs repeatable and automated. Success looks like reliable, cost-aware systems that other teams can build on without friction.
At a glance
- Pay
- Not stated in the posting
- Remote scope
- Remote, United Kingdom
- Seniority
- Senior
- Skills
- Databricks, AWS, Terraform, Pulumi, Docker, Kubernetes, Python, MLflow
- Posted
- 2 Nov 2026
- Last checked
- 3 Nov 2026
What you will do
- Run and tune the Databricks platform for speed, uptime and cost control
- Build cloud infrastructure with AWS and tools like Terraform
- Design and document systems that support automated, reproducible ML work
What they look for
- Hands-on Databricks experience in production
- Infrastructure-as-code skills, especially Terraform or Pulumi
- AWS plus Docker and Kubernetes, with solid Python and ML tooling like MLflow, pandas and scikit-learn
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 nquah4iotoQuestions about this job
Is this a remote job, and where can I work from?
Yes. The posting lists Senior Data Platform Engineer as a remote role for candidates in the United Kingdom.
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: hands-on Databricks experience in production; infrastructure-as-code skills, especially Terraform or Pulumi; AWS plus Docker and Kubernetes, with solid Python and ML tooling like MLflow, pandas and scikit-learn. Skills it names include Databricks, AWS, Terraform, Pulumi.
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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