Data Engineer - FinTech Data Pipelines (Newcastle)

Noir

North East

On-site

GBP 45,000 - 80,000

Full time

2 days ago
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Job summary

Noir in Newcastle is seeking a Data Engineer to help build and optimise data pipelines and the central data platform for our FinTech client. You will ensure complex datasets are accessible, reliable, and valuable for investment decisions.

You will design, test, and maintain pipelines from multiple data sources using SQL, Python, AWS, and Airflow while collaborating with stakeholders across the business in a fully office-based Newcastle environment.

Qualifications

  • 3–6 years of relevant experience as a Data Engineer or similar role.
  • 2:1+ degree in Computer Science or related field.
  • Direct experience in the hedge fund sector is essential.
  • Strong ability to design and build data pipelines across multiple sources.
  • Proficiency in SQL and Python with exposure to AWS.
  • Familiar with Git and Airflow for version control and orchestration.
  • Proven testing and troubleshooting skills to improve reliability.
  • Excellent communication and teamwork.

Responsibilities

  • Develop and optimise wide-scale data pipelines from diverse sources.
  • Maintain and enhance the central data platform to ensure reliable data delivery.
  • Collaborate with stakeholders to shape how data is accessed and tested.
  • Support investment decision-making with high-quality data.

Skills

SQL
Python
AWS
Git
Airflow
Data Pipelines
Data Platforms
Data Engineer
Programmer
Developer
Architect

Education

Bachelors in Computer Science (2:1)

Job description

Noir in Newcastle is seeking a Data Engineer to help build and optimise data pipelines and the central data platform for our FinTech client. You will ensure complex datasets are accessible, reliable, and valuable for investment decisions.

You will design, test, and maintain pipelines from multiple data sources using SQL, Python, AWS, and Airflow while collaborating with stakeholders across the business in a fully office-based Newcastle environment.

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