---
title: 'Data Engineer at Abound'
canonical: 'https://feeny.ai/job/data-engineer-abound-london-tnhf9bmr3e9c'
type: 'job'
last_seen: '2026-10-18'
---

# Data Engineer at Abound

- **Company:** Abound
- **Location:** London, United Kingdom
- **Employment:** full-time
- **Work type:** hybrid
- **Posted:** 2026-04-24
- **Last confirmed live:** 2026-10-18
- **Apply:** https://jobs.ashbyhq.com/abound/e45c504a-290c-42b0-9aab-61a0edcbb229

## Job description

## 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

- Everyone owns a piece of the company - equity
- Hybrid with 3 days a week in the office
- 25 days’ holiday a year, plus 8 bank holidays
- 2 paid volunteering days per year
- One month paid sabbatical after 4 years
- Employee loan
- Free gym membership
- Team wellness budget to be active together - set up a yoga class, a tennis lesson or go bouldering

## About Abound

## Company Overview
- **One-liner**: Abound uses AI and Open Banking to provide fair, affordable personal loans to consumers and a white-label lending platform for businesses.
- **Entity Type**: Private (Debt‑funded)
- **Headquarters**: London, England (Commodity Quay, London E1W 1AZ)
- **Founded**: 2021 (launched March 2021)
- **Founders**: Dr. Michelle He (CEO) and Gerald Chappell (COO) – [getabound.com/company/what-we-do](https://www.getabound.com/company/what-we-do)

## Core Business
- **Primary industry**: Consumer lending / Fintech / Lending‑as‑a‑Service
- **Target customers**: B2C (UK individuals seeking loans up to £20k) and B2B (businesses wanting to launch or scale lending products)
- **Mission / purpose**: “Making borrowing fairer for consumers and smarter for lenders.” – [getabound.com](https://www.getabound.com/)

## Products & Services
- **Abound Personal Loans** (B2C): Fast, flexible loans of up to £20,000 with same‑day decisions. Uses Open Banking and AI to assess affordability beyond traditional credit scores.
- **Abound Lending Platform** (B2B): A modular platform that powers underwriting, origination, and collections for partners. Enables faster, lower‑risk lending with AI‑driven risk models.

## Market Standing
- **Valuation / Market Cap**: Not disclosed
- **Key Metric**: Total loan originations over **£1.5 billion** (since launch) – [getabound.com/company/what-we-do](https://www.getabound.com/company/what-we-do)
- **Lending capacity**: £2.2 billion
- **Notable Investors / Partners**: Loan‑book financing secured from **Citi, Deutsche Bank, Waterfall** and others. Over **15 partners** using the platform.
- **Growth Signals**: Monthly originations at a significant run rate; “Excellent” rating on Trustpilot; expanding into car finance (open role for Lead Product Manager – Car Finance); offices in London, Milton Keynes, Shenzhen, and Madrid.

## Competitive Advantages
- **AI‑powered underwriting** that integrates Open Banking data, delivering **50–70% lower default rates** vs. market benchmarks.
- **Full‑stack lending platform** that serves both consumers and enterprise partners, creating a network effect.
- **Strong debt‑financing partnerships** with global banks, providing capital to scale rapidly.

## Strategic Focus
- **Platform expansion**: Growing the B2B lending‑as‑a‑service business (15+ partners) and entering new product verticals (e.g., car finance).
- **International presence**: Offices in Shenzhen (China) and Madrid (Spain) suggest global ambitions.
- **Continuous AI innovation**: Investing in risk modeling and data science to maintain credit performance edge.

## Why Work Here
- **Equity ownership**: Everyone owns a piece of the company through equity.
- **Benefits**:
  - 30‑day paid sabbatical after every 4 years of service.
  - Skills growth budget (e.g., learning new programming languages, communication skills).
  - Free WellHub membership for physical and mental wellbeing.
  - Free breakfast and snacks in the office; lunch on us every Friday.
  - Employee loan of up to £10,000 (subject to circumstances).
  - Wellness budget for team‑chosen activities (running club, rugby team, etc.).
  - Regular team lunches and social events.
- **Culture**: Customer‑first, move fast but thoughtfully, embrace uncertainty, win as a team, and “all owners” mentality.
- **Offices**: London (primary), Milton Keynes, Shenzhen, Madrid. Hybrid policy not explicitly stated but multiple office locations suggest flexibility.
- **Engineering culture**: Heavy investment in AI, data science, and Python; senior engineering roles advertised across locations.

## Sources
1. [getabound.com – Careers](https://www.getabound.com/company/careers)
2. [getabound.com – What we do](https://www.getabound.com/company/what-we-do)
3. [getabound.com – Homepage](https://www.getabound.com/)
4. [getabound.com – Open roles](https://www.getabound.com/company/careers/open-roles)
5. [uk.linkedin.com – Abound](https://uk.linkedin.com/company/getabound)

## Other roles at Abound

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- [Training Coordinator](https://feeny.ai/job/training-coordinator-abound-milton-keynes-c5har9asp9bq) — Milton Keynes, United Kingdom
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