Lead Data Engineer
- Remote, United Kingdom
- Lead
- Posted 5 days ago
or apply from Claude / ChatGPT / Muse
Hands-on lead role building secure cloud data platforms and real-time pipelines for public sector and utilities clients in the UK.
About the role
Clients need to modernise ageing data estates while keeping them secure and reliable. The job mixes technical leadership across several projects with writing and reviewing code yourself.
At a glance
- Pay
- Not stated in the posting
- Remote scope
- Remote, United Kingdom
- Seniority
- Lead
- Skills
- Apache Kafka, AWS Kinesis, Apache Flink, Spark Streaming, Apache Pulsar, AWS, CI/CD, Infrastructure as Code
- Posted
- 30 Oct 2026
- Last checked
- 4 Nov 2026
What you will do
- Design and deploy secure, scalable data pipelines and platform components, covering both batch and real-time streaming
- Own technical design decisions across projects, weighing scalability, security, performance and delivery needs
- Run workshops and architecture discussions with client stakeholders, then plan practical modernisation and migration paths
- Build cloud-native platforms on AWS with open-source tools, embedding data quality, governance, lineage and security
- Mentor engineers across project teams and keep engineering standards consistent
What they look for
- Strong commercial experience designing real-time streaming data platforms
- Experience building high-volume, low-latency, resilient pipelines in production
- Data modelling, performance tuning and root cause analysis skills
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 hxn23afffxQuestions about this job
Is this a remote job, and where can I work from?
Yes. The posting lists Lead Data Engineer as a remote role for candidates in the United Kingdom.
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 lead role. The posting asks for: strong commercial experience designing real-time streaming data platforms; experience building high-volume, low-latency, resilient pipelines in production; data modelling, performance tuning and root cause analysis skills. Skills it names include Apache Kafka, AWS Kinesis, Apache Flink, Spark Streaming.
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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