Data Engineer

Job Description

We're seeking curious engineers to work within our feature teams. You will support customers by ensuring the products we deliver are fit for purpose and meet the quality and standards expected. We're looking for someone who wants to further develop their engineering skillset. Well 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. If this excites you then you would be an asset to our team! We are pioneering the transformation of current processes from our on-premises platforms and have started our journey in deploying solutions on the Google Cloud Platform. This role sits within our platforms Analytics Lab who are looking to create strategic data products and build data and analytics capability. We work using agile delivery practices, so a self-led individual capable of accurately estimating and planning their own work would be valued highly. What Youd Get Involved With: 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. Key skills required: 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 Desirable skills include: Cloud understanding, particularly GCP 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, capital and impairment processes