Data Engineer

Descripción del puesto

Data Engineer - FinTech - Newcastle (Tech stack: Data Engineer, SQL, Python, AWS, Git, Airflow, Data Pipelines, Data Platforms, Programmer, Developer, Architect, Data Engineer) Our client is a trailblazer in the FinTech space, known for delivering innovative technology solutions to global financial markets. They are expanding their engineering capability in Newcastle and are looking for a talented Data Engineer to join their team. This role will focus on building and optimising systems that make complex datasets accessible, reliable, and valuable for the business. As a Data Engineer, you will take responsibility for the development of high-quality pipelines that process and manage large volumes of data from a range of external and internal sources. You'll play a key role in enhancing and maintaining their central data platform, ensuring the smooth delivery of information that supports investment decision-making. Working closely with stakeholders across the business, you'll help shape how data is accessed, tested, and leveraged to maximise value. The successful candidate will bring: 3-6 years of relevant experience working as a Data Engineer (or in a closely related role). A 2:1 or above in Computer Science (or related field), ideally from a Russell Group university. Direct experience in the hedge fund sector (essential). Strong ability to design and build data pipelines that integrate multiple data sources. Proficiency in SQL and Python, with solid exposure to AWS or other cloud-based data tools. Familiarity with version control systems such as Git and workflow/orchestration tools such as Airflow. Proven ability to test and troubleshoot data systems, with a track record of improving reliability and accuracy. Excellent communication skills, with the ability to collaborate effectively in a team environment. A detail-oriented, proactive mindset, with a willingness to learn and apply new technologies. This is an exciting opportunity to join a forward-thinking organisati