Data Engineer

Noir; Newcastle upon Tyne; On-site; GBP 60,000 - 90,000; Full time

Job summary

Noir is expanding its engineering capability in Newcastle and is seeking a talented Data Engineer to join their team. This role focuses on building and optimising systems that make complex datasets accessible, reliable, and valuable for the business.

You will develop high-quality pipelines, process data from multiple sources, maintain the central data platform, and collaborate with stakeholders to support investment decision-making in a forward-thinking FinTech environment.

Qualifications

• 3–6 years of data engineering experience.
• 2:1 or above in Computer Science from a Russell Group university.
• Direct experience in hedge fund sector (essential).
• Strong ability to design and build data pipelines integrating multiple data sources.
• Proficiency in SQL and Python; solid exposure to AWS.
• Familiarity with Git and Airflow for workflows.
• Proven testing and troubleshooting of data systems to improve reliability and accuracy.
• Excellent communication and collaboration in a team.
• Detail-oriented, proactive mindset; eager to learn new technologies.

Responsibilities

• Build and optimise data pipelines processing large data volumes from multiple sources.
• Maintain and enhance the central data platform to ensure reliable data delivery.
• Collaborate with stakeholders to shape data access, testing, and leverage.
• Support investment decision-making through accurate data delivery.

Skills

Data pipelines

SQL

Python

AWS

Git

Airflow

Education

Bachelors in Computer Science (2:1) from Russell Group

Tools

SQL

Python

AWS

Git

Airflow

Job description

(Tech stack: Data Engineer, SQL, Python, AWS, Git, Airflow, Data Pipelines, Data Platforms, Programmer, Developer, Architect, Data Engineer)

Our client is a trailblazer in the FinTech space, known for delivering innovative technology solutions to global financial markets. They are expanding their engineering capability in Newcastle and are looking for a talented Data Engineer to join their team. This role will focus on building and optimising systems that make complex datasets accessible, reliable, and valuable for the business.

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.

The successful candidate will bring:

• 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.

This is an exciting opportunity to join a forward-thinking organisation where data is at the core of their success. You’ll be part of a collaborative environment where your work will directly support world-class FinTech solutions.

Location: Newcastle, UK (Fully Office Based)

Applicants must be based in the UK and have the right to work in the UK.