Newcastle FinTech Data Engineer - Build Scalable Pipelines

Noir; Newcastle upon Tyne; On-site; GBP 65,000 - 90,000; Full time

Job summary

Noir in Newcastle is seeking a Data Engineer to build and optimise data systems that unlock complex datasets for business insight. You will develop robust pipelines, improve data reliability, and work closely with stakeholders to maximise data value.

This office-based role requires UK residency and hands-on cloud experience. Ideal candidates have 3–6 years in data engineering, a 2:1 in CS (Russell Group preferred), and direct hedge fund sector experience, with strong SQL, Python, Git, and

Qualifications

• 3–6 years of Data Engineer experience.
• 2:1 or above in Computer Science (Russell Group preferred).
• Direct experience in the hedge fund sector is essential.
• Strong ability to design and build data pipelines that integrate multiple sources.
• Proficiency in SQL and Python with AWS exposure.
• Familiarity with Git and Airflow.
• Proven ability to test and troubleshoot data systems and improve reliability.
• Excellent communication and teamwork across stakeholders.

Responsibilities

• Build and optimise systems that make complex datasets accessible and valuable.
• Develop high-quality pipelines processing data from multiple sources.
• Maintain and enhance the central data platform to support decision-making.
• Collaborate with stakeholders to shape data access, testing and usage.

Skills

SQL

Python

AWS

Git

Airflow

Data pipelines

Data platforms

Communication

Education

2:1 in Computer Science (Russell Group)

Job description

Noir in Newcastle is seeking a Data Engineer to build and optimise data systems that unlock complex datasets for business insight. You will develop robust pipelines, improve data reliability, and work closely with stakeholders to maximise data value.

This office-based role requires UK residency and hands-on cloud experience. Ideal candidates have 3–6 years in data engineering, a 2:1 in CS (Russell Group preferred), and direct hedge fund sector experience, with strong SQL, Python, Git, and