REQUIREMENTS

• Minimum of 5 years’ experience in a Data Engineering role, ideally in the bank sector
• Strong passion for data and software engineering with a problem-solving mindset
• Proficiency in technologies such as dbt, SQL, Python, Java, SAS, or other open-source analytics tools
• Ability to translate complex business requirements into technical solutions
• Excellent communication and interpersonal skills; able to explain technical concepts to non-technical stakeholders
• Experience in building and maintaining scalable data pipelines
• Working knowledge of Google Cloud Platform (GCP) or other cloud platforms
• Familiarity with Terraform for infrastructure as code
• Experience with data engineering principles and methodologies, including Agile and Waterfall approaches
• Understanding of industry-standard data management and analytics solutions
• Knowledge of financial services data domains, including Credit Risk, Capital, and Impairment processes

ABOUT THE ROLE

FDM is a global business and technology consultancy seeking a Senior Dara Engineer to work for our client within the finance sector. This is initially a 12-month contract with the potential to extend and will be a hybrid role based in Manchester.
Our client is seeking a Senior Data Engineer who will be joining the Prudential & Analytics Platform, a team leading the transformation from legacy on-premise systems to the Google Cloud Platform (GCP). Within this platform, the Analytics Lab is focused on developing strategic data products and enhancing data and analytics capabilities across the business.
This role is ideal for a proactive and curious engineer looking to deepen their technical expertise while contributing to meaningful change. The client follows agile delivery practices, so they’re looking for a self-motivated team member who can take ownership of their work, estimate accurately, and collaborate effectively with cross-functional teams.

RESPONSIBILITIES

• Design, develop, and maintain robust data processes to support regulatory and prudential change
• Lead and support the creation of high-quality data solutions and pipelines for current and future analytics and reporting use cases
• Champion engineering best practices, including clean code, testing, and documentation
• Collaborate with Product Owners and stakeholders to understand and refine requirements, ensuring they are translated into actionable backlog items
• Apply strong analytical thinking and technical judgement to solve complex problems and drive data initiatives forward
• Help build a culture of continuous learning and improvement within the engineering team