Data Engineer

As a Data Engineer, you will work closely with technical and non-technical stakeholders to develop reliable, scalable, and high-quality data solutions. You will contribute across the full lifecycle of data product development, from architecture and engineering through to testing, optimisation, and continuous improvement., * Design and develop scalable data pipelines integrating internal and external data sources

• Build and maintain data-intensive applications and platforms
• Ensure high standards of data quality, reliability, and integrity
• Contribute to the development and testing of new and existing data products
• Troubleshoot and optimise data systems and workflows
• Collaborate with cross-functional teams to improve data accessibility and usability
• Support the adoption of modern engineering practices and emerging technologies

Essential Skills & Experience

• experience in Data Engineering or a related field
• Strong programming skills in Python and SQL
• Experience building scalable data-intensive systems and pipelines
• Understanding of modern software engineering best practices
• Excellent communication and collaboration skills
• Strong analytical and problem-solving capabilities
• Self-motivated with a strong desire to learn and develop

Experience in Some or All of the Following

• Distributed computing technologies such as Spark and Databricks
• Cloud platforms including AWS, Azure, or GCP
• Workflow orchestration tools such as Airflow
• CI/CD, version control, and infrastructure as code

Desirable

• Experience within financial services, consulting, or risk environments
• Degree in Computer Science or a quantitative discipline