Job Opportunities API

About Abound We’re redefining consumer lending in the UK, and beyond. Using advanced AI and Open Banking data, we make fair, affordable personal finance available to more people. While traditional lenders rely almost entirely on credit scores, we look at the full financial picture - how much you spend, and what you can afford to repay to build a deeper, more accurate understanding of each customer's unique financial situation. And we've shown it works at scale. We’ve issued over £1.3bn in loans directly to customers while delivering market-leading credit performance - for every 10 defaults the industry expects, we see only 3. We also reached profitability just 2.5 years after launch. Backed by £2bn+ of funding from top-tier investors including Citi, GSR Ventures, and Deutsche Bank, we’re recognised as one of Europe’s fastest-growing fintechs (Sifted, CNBC). Now, we’re expanding into new markets and product lines - and we’re looking for ambitious people who want to learn fast, take ownership, and grow with us. About the Role As a Data Engineer within the Platform team, you will play a critical role in maturing and optimizing our Data Lake. Acting as a key bridge between Platform and Data Science, you will take ownership of the infrastructure and pipelines that power data-driven decision-making across the business. This is an Individual Contributor (IC) role with high impact and autonomy. In your first 6–12 months, your primary focus will be to evolve the Data Lake into a scalable, high-performance foundation for analytics and data science. You will migrate key production workloads- such as model calibration, ad-hoc analytics, and reporting- directly into the Data Lake, while redesigning data structures to improve query performance, reduce AWS costs, and ensure high data recency. You will also establish yourself as a trusted partner to the Data Science team, enabling faster experimentation and delivery through robust, well-designed data systems. Technology Stack - Cloud & Compute: AWS, ECS Fargate, AWS Lambda - Databases & Data Lake: Aurora (PostgreSQL, MySQL), Athena, DMS, Glue, Iceberg - Languages & IaC: Python, Spark, SQL - Observability & Tooling: Amazon Managed Prometheus (AMP), incident.io, GitLab What you'll be doing - Own and evolve the Data Lake infrastructure and ETL pipelines from day one - Migrate production workloads (e.g. model calibration, ad-hoc analytics, reporting) into the Data Lake - Partner closely with Data Science to understand workflows and enable scalable, efficient data usage - Redesign data structures and clustering strategies to improve query performance and data freshness - Optimize infrastructure to reduce AWS costs while maintaining reliability and scalability - Build robust, production-grade data systems using modern AWS tooling Who you are - Strong software engineering foundation with applied knowledge of SOLID principles in data systems - Proven experience building and maintaining Change Data Capture (CDC) pipelines, ideally with AWS DMS - Hands-on expertise with Spark and AWS Glue, including transforming RDS workloads into scalable pipelines - Highly proficient in SQL, particularly within transactional RDS environments - Experience implementing governance, standards, and best practices across data platforms - Comfortable owning systems end-to-end and working cross-functionally with technical stakeholders How we work - Ownership: You take responsibility for outcomes, not just tasks - Impact-Driven Work: You focus on results and step up during critical moments when needed - MVP Mindset: You prioritize speed and learning, accepting and managing technical debt when appropriate - Collaboration: You go beyond your role and avoid siloed thinking - Adaptability: You thrive in a fast-moving environment with shifting priorities - Pragmatism: You value sound judgment and lightweight processes over rigid bureaucracy What we offer -