Full job descriptionAbout 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 CultureThe 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 OpportunityAn 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.