Data Engineer, AI Customer Intelligence Engine, London, hybrid

Datatech Analytics; City Of London; Hybrid; GBP 38,000 - 45,000; Full time

Job summary

A growing tech firm in London is seeking a Data Engineer to build robust data pipelines and work with cloud platforms like Azure and AWS. The ideal candidate has 1+ years in a data engineering role, a strong STEM degree, and a desire to engage with AI and automation. This hybrid position offers exposure to real-world data challenges in a dynamic environment.

Qualifications

• 1+ years in a data engineering or platform role.
• Experience with DevOps workflows is essential.
• Curiosity and a bias to ship are crucial.

Responsibilities

• Build robust, well structured data pipelines.
• Work across cloud platforms such as Azure, AWS, or GCP.
• Integrate machine learning outputs into data products.
• Automate and monitor data flows.

Skills

Building data pipelines in Python

Data integration

DevOps practices

Cloud platforms (Azure, AWS, GCP)

Education

STEM degree (Mathematics, Statistics, Computer Science, Engineering)

Job description

Data Engineer, AI Customer Intelligence Engine, London, hybrid

Company: Datatech Analytics

Location: London, hybrid, in office Monday to Wednesday

Salary: up to £45,000 per annum, depending on experience

Job ref: J13027

We are partnering with a fast growing tech company helping some of the best known UK brands turn first party data into real competitive advantage.

This is not maintenance, this is building. You will ship data products, learn quickly, and help scale a platform that puts clean engineering at the heart of decision making.

You will sit with talented AI engineers and analysts, learn how models are productionised at scale, and watch your pipelines power real outcomes.

What you will do

• Build robust, well structured data pipelines in Python and SQL
• Work across cloud platforms, Azure, AWS, or GCP
• Integrate machine learning outputs into data products
• Automate and monitor flows so data moves securely and reliably
• Contribute to DevOps practices, CI and CD, testing and observability

What you will bring

• 1 plus years in a data engineering or platform role
• Demonstrable experience with DevOps workflows
• An excellent STEM degree, Mathematics, Statistics, Computer Science, Engineering, or similar
• Curiosity, pragmatism, and a bias to ship

This is ideal for someone early in their data engineering journey who wants real exposure to AI, automation, and cloud delivery, not just theory, the real thing.

If that sounds like you, let us talk. Be brave, make the move.

No sponsorship available, not available for post study visa holders.