Job Description:
Data Engineer, AI Customer Intelligence Engine, London, hybrid
Salary: up to £45,000 per annum, depending on experience
Location: London, hybrid, in office Monday to Wednesday
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.
#DataEngineering #AI #MachineLearning #Python #DatatechAnalytics
Data Engineer, AI Customer Intelligence Engine, London, hybrid
Salary: up to £45,000 per annum, depending on experience
Location: London, hybrid, in office Monday to Wednesday
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.
#DataEngineering #AI #MachineLearning #Python #DatatechAnalytics