REQUIREMENTS

• At least 5 years of experience as a data engineer with experience of GCP and good Cloud understanding
• Passion for software and data engineering, adopting the mindset of a curious engineer
• Experience of dbt, SQL, Python, Java, SAS or other open-source technologies used for analytics
• Ability to understand business requirements and create business ready solutions
• Show well-developed interpersonal, communication and influencing skills, particularly the ability to convey key business information arising from complex issues to non-technical people
• Knowledge of Terraform
• Data engineering background and good knowledge of waterfall and agile development practices
• Insights into industry solutions for data management, storage and analytics coupled with experience of financial data, including Credit Risk, and Capital & Impairment processes

ABOUT THE ROLE

FDM is a global business and technology consultancy seeking a Senior Data Engineer with GCP experience 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 that will be based in Leeds.
Our client is pioneering the transformation of current processes from their on-premises infrastructure and have started their journey in deploying solutions on the Google Cloud Platform. This role sits within the platform’s Analytics Lab, who are looking to create strategic data products and build data and analytics capability.
Our client is seeking someone who wants to further develop their engineering skillset. They will support you to be able to be able to take on technical challenges and develop your understanding of how data solutions and services are developed, tested, and implemented.

RESPONSIBILITIES

• Design, develop, maintain, and improve data processes to support regulatory and prudential change with high quality solutions and providing oversight and leadership to help others do the same
• Building data pipelines for current and future analytics and reporting solutions
• Implement and embody engineering standards, using constructive feedback to create opportunities for learning
• Work with the Product Owner and customers to understand, refine and prioritise items for the feature team backlog
• Using strong problem-solving skills and a combination of technical knowledge, experience, and judgement to identify available options and clearly set out the way forward