Analytics Engineer
- EUR 62,000 to 75,000 per year
- Remote, Ireland
- Full-time
- Mid-level
- Posted 8 days ago
or apply from Claude / ChatGPT / Muse
Hands-on analytics engineer to own how a health-tech scale-up structures and uses its data, working in the product team; remote within Ireland.
About the role
The product team is small and the data function is being built, so the person in this seat shapes it. Good work means reliable pipelines, clear definitions and dashboards that help both internal teams and healthcare clients decide faster.
At a glance
- Pay
- EUR 62,000 to 75,000 per year
- Remote scope
- Remote, Ireland
- Seniority
- Mid-level
- Employment
- Full-time
- Skills
- BigQuery, Google Cloud Platform, Data pipelines, Dashboards, SQL
- Posted
- 21 Oct 2026
- Last checked
- 27 Oct 2026
What you will do
- Own the analytical data infrastructure in BigQuery, keeping it reliable, accessible and scalable, and work with Engineering on harder archit
- Build and maintain pipelines and models with consistent definitions, documentation and quality controls
- Analyse data and build dashboards for Product, Delivery and Commercial teams and for healthcare clients
What they look for
- Can work independently, spot what needs improving and drive it forward without detailed direction
- Experience across data engineering and analytics, including pipelines and modelling
- Comfortable with BigQuery and cloud data tooling
- Able to collaborate with Engineering on infrastructure decisions and with client-facing teams on insights
- Interest in exploring how AI can give teams safe access to trusted data
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 z5fshkuqxoQuestions about this job
Is this job fully remote, and from where?
Yes. The posting lists Analytics Engineer as a remote role for candidates in Ireland.
What does this job pay?
The posting states EUR 62,000 to 75,000 per year.
What experience is needed?
It is a mid-level role. The posting asks for: can work independently, spot what needs improving and drive it forward without detailed direction; experience across data engineering and analytics, including pipelines and modelling; comfortable with BigQuery and cloud data tooling. Skills it names include BigQuery, Google Cloud Platform, Data pipelines, Dashboards.
How do I apply with Keywordise AI?
Click Apply with Keywordise AI, create an account and upload your CV. Your CV and cover letter are written for this job from what you have really done, then Keywordise applies for you. Trial: 7 days, no card.
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