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# Data Engineer

- **Company:** Harnham
- **Location:** Birmingham, UK
- **Experience:** Starter
- **Salary:** £45,000.0 - £55,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Cloud Engineering, Data as a Services, Information Engineering, Data Infrastructure, Data Systems, Information Lifecycle Management, Mobile Application Software, Python (Programming Language), Data Streaming, Apache Spark, Data Layers, Apache Kafka, Data Pipelines
- **Published:** September 11, 2026
- **Apply:** https://www.reed.co.uk/jobs/data-engineer/57335183

## About the Role

You will bring strong capability in:

 * Python development.
 * Advanced SQL.
 * Building and maintaining data pipelines.
 * Data modelling and warehousing fundamentals.
 * dbt or similar modern transformation frameworks
 * Experience with AWS data services.
 * Exposure to Kafka, Spark, streaming data, or modern BI tools.
 * Interest in AI, analytics engineering, and data products

## Description

This is a fantastic opportunity to join a high-growth technology business where you can take ownership of building and optimising modern data pipelines while developing into a key member of a growing data team.
THE COMPANY
Our client is an innovative technology business operating at the intersection of mobile applications, hardware products, and AI-powered data solutions. With a global, remote-first workforce and ambitious growth plans, they are investing heavily in their data platform to support the next phase of expansion.
The organisation has built a modern data ecosystem that powers business-critical decision-making, advanced analytics, and emerging AI capabilities. This is an excellent opportunity to join a collaborative team where your work will have visible impact across the business.
THE ROLE
You will take ownership of building, improving, and maintaining data pipelines within a modern AWS-based data platform. Working closely with experienced data engineering and cloud architecture professionals, you will gain exposure to the full data lifecycle while developing your technical expertise.
Key responsibilities include:

 * Designing and developing data ingestion pipelines from product and third-party sources into a modern cloud data platform.
 * Monitoring, troubleshooting, and optimising data pipelines and scheduled workloads.
 * Building and maintaining data models using dbt to support analytics and reporting requirements.
 * Supporting the development of AI-driven data products and semantic layers.
 * Creating trusted datasets and business-facing data assets to support company-wide decision making.


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