This is an exciting opportunity to join a growing tech scale‑up where data is at the heart of their product. You will play a key role in shaping their data infrastructure, enabling large‑scale machine learning and real‑time analytics that directly impact their customers.
THE COMPANY
They are a high‑growth SaaS organisation operating in the digital advertising space. Their platform helps customers optimise performance through advanced analytics, real‑time behavioural insights and machine learning. With a collaborative engineering culture and strong investment backing, they are building scalable data systems to support rapid product expansion.
THE ROLE
As a Data Engineer you will take ownership of the company's core data pipelines, transforming large‑scale event data into reliable, ML‑ready datasets that power real‑time decisioning and analytics across the business.
Specifically, you can expect to be involved in the following:
* Design and manage data ingestion pipelines that feed into their cloud data warehouse.
* Build and maintain pipelines that prepare data for machine learning and analytics use cases.
* Restructure/improve existing datasets to ensure they are reliable, performant and ML‑ready.
* Work closely with Data Science and Platform Engineering to productionise models and improve data foundations.
* Proven ability to work with high‑volume event data at scale.
SKILLS AND EXPERIENCE
The successful Data Engineer will have the following skills and experience:
* Strong commercial experience in Python, SQL and cloud‑based data engineering.
* Hands‑on experience with AWS services such as Redshift, Athena, S3, Glue and ideally Kinesis.
* Understanding of streaming data, system performance and cost‑efficient architecture.
* A proactive mindset with the confidence to identify and solve problems independently.
BENEFITS
The successful Data Engineer will receive the following benefits:
* Salary between £70,000 - £90,000 - depending on experience.
HOW TO APPLY
Please register your interest by sending your resume to Majid Latif via the Apply link on this page.
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