Data Engineer
- Remote, Africa
- Mid-level
- Posted 9 days ago
or apply from Claude / ChatGPT / Muse
Data engineering role at a health insurer, building pipelines and tables that the business relies on; remote first.
About the role
Ownership covers ingestion from many sources, keeping the ETL and ELT layer in good shape, and orchestration with version control and lineage. Success means tables people can actually use and processing costs that stay under control.
At a glance
- Pay
- Not stated in the posting
- Remote scope
- Remote, Africa
- Seniority
- Mid-level
- Skills
- SQL, Python, Git, Terraform, ETL, ELT
- Posted
- 20 Oct 2026
- Last checked
- 29 Oct 2026
What you will do
- Build pipelines that pull data in from several sources
- Keep the ETL and ELT process healthy and the core tables easy to use
- Review code from other data teams and hold it to a good standard
- Tune jobs so processing costs stay under control
- Set up orchestration, version control and lineage, and keep the CI/CD flow solid
- Turn vague business requests into concrete engineering work
What they look for
- A bachelor's degree or higher
- At least 3 years in data engineering after NYSC
- Strong SQL, including querying and joining large datasets
- Working knowledge of Python
- Experience with version control such as Git
- Terraform experience for infrastructure and access control
Nice to have
- Background in healthcare, health insurance or insurance
How Keywordise applies for you
Alex Demo
[email protected]
From your CV
Yes, fully remote
- Sent
- 09:41
- Attached
- Your tailored CV
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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.
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ChatGPT
- In ChatGPT, open Settings, then Connectors. On plans that need it, turn on developer mode first.
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- 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 7lvdyzmqltQuestions about this job
Can I do this job remotely, and from which countries?
Yes. The posting lists Data Engineer as a remote role for candidates in Africa.
What does this job pay?
The posting does not state a salary, so there is no figure to quote.
What experience is needed?
It is a mid-level role. The posting asks for: a bachelor's degree or higher; at least 3 years in data engineering after NYSC; strong SQL, including querying and joining large datasets. Skills it names include SQL, Python, Git, Terraform.
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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