Newcastle Data Engineer — FinTech Pipelines

Noir; Newcastle upon Tyne; On-site; GBP 55,000 - 90,000; Full time

Job summary

Noir is expanding its Newcastle-based engineering capability and is seeking a Data Engineer to design and optimise data pipelines and central data platforms. You will ensure reliable data delivery to support investment decisions and work with stakeholders across the business.

The role requires 3–6 years of data engineering experience, a 2:1 or better in Computer Science (Russell Group preferred), and hands-on experience with SQL, Python, AWS, Git, and Airflow.

Qualifications

• 3–6 years of Data Engineer experience or 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 is 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 data tools.
• Familiarity with 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 and ability to collaborate in a team environment.
• Detail-oriented, proactive mindset, willingness to learn and apply new technologies.

Responsibilities

• Develop high-quality pipelines to process and manage large data volumes from various sources.
• Maintain and enhance the central data platform to ensure reliable data delivery for decision-making.
• Collaborate with stakeholders across the business to shape data access, testing, and usage for value maximisation.

Skills

SQL

Python

AWS

Git

Airflow

Data pipelines

Data platforms

Programming

Developer

Architect

Data Engineer

Education

2:1 in Computer Science

Tools

Git

Airflow

AWS

Job description

Noir is expanding its Newcastle-based engineering capability and is seeking a Data Engineer to design and optimise data pipelines and central data platforms. You will ensure reliable data delivery to support investment decisions and work with stakeholders across the business.

The role requires 3–6 years of data engineering experience, a 2:1 or better in Computer Science (Russell Group preferred), and hands-on experience with SQL, Python, AWS, Git, and Airflow.