Data Engineer

Noir; Newcastle upon Tyne; On-site; GBP 60,000 - 85,000; Full time

Job summary

Noir is expanding its data engineering capability in Newcastle and is seeking a Data Engineer to build and optimise systems that make complex datasets accessible and valuable for the business.

You will develop pipelines, maintain the central data platform, and work with stakeholders to ensure reliable data delivery for investment decision-making. 3–6 years of relevant experience and a 2:1 in Computer Science are expected.

Qualifications

• 3–6 years of Data Engineer experience or in a closely related role.
• 2:1 or above in Computer Science or related field, Russell Group preferred.
• Direct experience in the hedge fund sector is essential.
• Strong ability to design and build data pipelines from multiple sources.
• Proficiency in SQL and Python with AWS or similar cloud tools.
• Familiar with Git and workflow/orchestration tools such as Airflow.
• Proven testing and troubleshooting of data systems with high reliability.

Responsibilities

• Develop high-quality pipelines processing large data volumes from various sources.
• Enhance and maintain the central data platform for reliable information delivery.
• Collaborate with stakeholders to shape data access, testing, and usage for business value.

Skills

SQL

Python

AWS

Git

Airflow

Data Pipelines

Data Platforms

Education

BSc Computer Science (2:1 or above)

Russell Group university preferred

Tools

Airflow

Git

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.