Aker SystemsHiring

Lead Data Engineer

  • Remote, United Kingdom
  • Lead
  • Posted 5 days ago
In one line

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

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Connector URL
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How to connect

Questions 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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