Senior Data Engineer
•Possiblefinancialinc· 1h
🏷️ Data Science⏰ Full-time⭐ Senior🇺🇸 Seattle, USA
1h ago
Ophelos·about 9 hours ago
At Ophelos, we believe in a different way to deal with debt. One that puts empathy and understanding front and centre, approaching our customers as individuals — no matter what they’re going through.
For too long, people in debt have borne the brunt of poor industry practices. Intimidating tactics, time-consuming customer service and a one-size-fits-all approach that overlooks the reasons anyone can fall into debt in the first place. Meanwhile, businesses suffer too. Poor customer experience translates to poor customer satisfaction, high churn rates, bad brand reputation and ultimately missed opportunities.
That’s why we’re taking a radically different approach. Pioneering an industry-first AI-native collections platform, we build products that help individuals clear their debts in a way that suits them, whilst providing businesses with an improved customer experience and game-changing insights into their customer base.
Since our launch in 2021, we’ve worked with some of the UK’s leading companies, including Octopus, Scottish Power and Philips — helping millions of people move toward a more stable, debt-free future. In 2023, we were acquired by Intrum, Europe’s biggest credit management service and have begun the next phase in our growth — expansion into 17 European markets over the next two years.
We are looking for a dedicated Data Engineering hire to join our small but high performing Data Engineering function. You will be responsible for ensuring the scalability and reliability of our data infrastructure to power our machine learning and analytics workloads to support the companies growth as we enter a transformational phase of migration from our existing “v1” client platform to our new AI-powered v2.
Ophelos Tech is an AI-first technical organisation, and effective use of LLMs are central to how our Engineers work. Claude Code and OpenSpec are critical tools in our toolbox.
Stack wise: We work with a modern data stack built on Databricks and AWS with Python, SQL, and PySpark as our primary tools.
Ophelos Tech operates hybrid working, and believe face-to-face working time is essential for planning and alignment. Our teams spend two days each week working in-person from our comfortable office near Liverpool Street in London.
In this role, you’ll get to:
We believe that no one is the finished article, however, some experience in the following is important for this role:
Here at Ophelos we are committed to pay transparency. That's why we share the salary range with every job posting.