REQUIREMENTS

• Strong knowledge of data engineering concepts, with a focus on Python, Snowflake, and MS SQL Server
• Solid understanding of relational databases and database concepts
• Experience with ETL processes and data pipeline development
• Familiarity with coding practices, including the use of code repositories and deployment pipelines (willingness to learn on the job if not experienced)
• Background in computer science or a related field is preferred but not essential
• Ability to work in a data-heavy role, focusing on data loading, validation, and quality assurance
• Excellent problem-solving skills and attention to detail
• Strong communication skills and the ability to work effectively with multidisciplinary teams

ABOUT THE ROLE

FDM is a global business and technology consultancy seeking a Data Engineer to work for our client within the finance sector. This is initially a 6-month contract with the potential to extend and will be a hybrid role based in London.
Our client are pioneers in the financial services industry, leveraging cutting-edge technology and data-driven insights to shape the future of investment. As they continue to grow, they are looking for a talented Data Engineer to join their innovative team. This is a unique opportunity to contribute to the heart of the financial world, working on high-impact projects that drive investment strategies and decision-making.

RESPONSIBILITIES

• Design, develop, and maintain robust data pipelines using Python, Snowflake, and MS SQL Server
• Load, validate, and ensure the quality of data from various sources
• Troubleshoot and resolve data issues to maintain system availability
• Collaborate with the Quant team to meet their data requirements and ensure timely delivery of data
• Implement best practices for data management, including data mastering and cataloguing
• Monitor and manage production pipelines, including setting up alerts and monitoring systems
• Continuously improve data processes and workflows to enhance efficiency and reliability