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# Data Engineer

- **Company:** Noir Consulting
- **Location:** Newcastle upon Tyne, UK
- **Experience:** Starter
- **Salary:** £45,000.0 - £80,000.0
- **Contract:** Permanent contract
- **Skills:** Airflow, Amazon Web Services, Big Data, Cloud Database, Data Systems, Python (Programming Language), SQL Databases, Workflow Management Systems, Git, Build Management, Information Technology, Data Management, Software Version Control, Data Pipelines
- **Published:** September 21, 2026
- **Apply:** https://www.reed.co.uk/jobs/data-engineer/57369116

## About the Role

* 3-6 years of relevant experience working as a Data Engineer (or in a closely related role).
 * A 2:1 or above in Computer Science (or related field), ideally from a Russell Group university.
 * Direct experience in the hedge fund sector (essential).
 * Strong ability to design and build data pipelines that integrate multiple data sources.
 * Proficiency in SQL and Python, with solid exposure to AWS or other cloud-based data tools.
 * Familiarity with version control systems such as Git and workflow/orchestration tools such as Airflow.
 * Proven ability to test and troubleshoot data systems, with a track record of improving reliability and accuracy.
 * Excellent communication skills, with the ability to collaborate effectively in a team environment.
 * A detail-oriented, proactive mindset, with a willingness to learn and apply new technologies.

## Description

(Tech stack: Data Engineer, SQL, Python, AWS, Git, Airflow, Data Pipelines, Data Platforms, Programmer, Developer, Architect, Data Engineer), As a Data Engineer, you will take responsibility for the development of high-quality pipelines that process and manage large volumes of data from a range of external and internal sources. You'll play a key role in enhancing and maintaining their central data platform, ensuring the smooth delivery of information that supports investment decision-making. Working closely with stakeholders across the business, you'll help shape how data is accessed, tested, and leveraged to maximise value.


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