Data Developers

Harvey Nash; North East; On-site; GBP 50,000 - 75,000; Full time

Job summary

Harvey Nash is seeking a Data Engineer to join its Newcastle-based Data Analytics team. You will design, build, and maintain data pipelines integrating external vendors, market data, and other sources into a centralized platform, enabling reliable analytics for investment decisions.

You will collaborate with stakeholders, implement modern data engineering tools, and ensure data quality and availability. The role welcomes candidates across experience levels and offers opportunities to grow in a

Qualifications

• Bachelor's degree in a relevant discipline.
• Proficiency in SQL, Python, AWS, and other modern data engineering technologies.
• Experience with Git and workflow orchestration tools like Airflow.
• Proven ability to test, troubleshoot, and improve data platforms for reliability and data quality.
• Strong interpersonal skills to collaborate with stakeholders.
• Self-motivated and eager to learn new technologies.

Responsibilities

• Design, build, and maintain data pipelines from multiple sources into a central data platform.
• Enhance the data platform to meet changing business needs.
• Test, monitor, and troubleshoot platform performance and reliability.
• Ensure data is accurate, accessible, and of high quality for decisions.
• Collaborate with internal stakeholders to improve data availability and usability.
• Adopt modern data engineering tools and best practices.

Skills

SQL

Python

AWS

Interpersonal communication

Education

Bachelor's degree in a relevant discipline

Tools

Git

Airflow

Job description

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.