About the Company

Our client is a specialist technology consultancy delivering tailored solutions across financial services, private capital, and defence sectors. Established through a partnership between leading global organisations, the business combines deep industry expertise with cutting-edge technology to solve complex challenges for its clients.

The company promotes a collaborative, trust-based culture where employees are empowered to take ownership of their work, develop their skills, and make a meaningful impact. With its headquarters in Newcastle upon Tyne and a growing international presence, the organisation is continuing to expand its capabilities and team.

Company Culture

The organisation is seeking talented professionals who:

  • Demonstrate strong communication and collaboration skills.
  • Enjoy working closely with colleagues and business stakeholders to achieve shared goals.
  • Are naturally curious and motivated to explore new ideas and technologies.
  • Thrive in fast-paced environments, tackling complex challenges with creativity and enthusiasm.
  • Take ownership of their work and consistently deliver high-quality outcomes.
  • Have a strong desire to learn, grow, and develop professionally.

The Opportunity

An exciting opportunity has arisen for a Data Engineer to join a high-performing Data Analytics team. The successful candidate will play a key role in designing, developing, and maintaining data solutions that support critical business and investment activities.

Key Responsibilities

  • Design, build, and maintain robust data pipelines that integrate data from external vendors, market counterparties, and other sources into a centralised data platform.
  • Contribute to the enhancement and evolution of the firm's data platform, ensuring it continues to meet changing business needs.
  • Perform testing, monitoring, and troubleshooting to maintain platform performance and reliability.
  • Ensure data is accurate, accessible, and of high quality, supporting business-critical decision-making processes.
  • Work closely with internal stakeholders to improve data availability, usability, and overall platform effectiveness.
  • Support continuous improvement initiatives through the adoption of modern data engineering tools, technologies, and best practices.

Candidate Requirements

  • Applications are welcomed from candidates across a range of experience levels.
  • Strong experience designing, developing, and maintaining data pipelines.
  • Proficiency in SQL, Python, AWS, and other modern data engineering technologies.
  • Experience with version control tools (e.g., Git) and workflow orchestration platforms (e.g., Airflow).
  • Proven ability to test, troubleshoot, and improve data platforms, ensuring high levels of reliability and data quality.
  • Strong interpersonal and communication skills with the ability to work effectively in collaborative team environments.
  • Self-motivated, detail-oriented, and eager to learn new technologies and methodologies.
  • Bachelor's degree in a relevant discipline or equivalent qualification.

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