Senior Data Platform Engineer

We are looking for a Senior Data Platform Engineer who will build and evolve the foundational data platform that powers analytics, underwriting/credit models, experimentation, and operational reporting. You will work closely with our Product, Data Science and Business teams to design and maintain multiple technologies, including our API backend, credit scoring and underwriting systems, payments integrations, and operations tools. We face numerous interesting technical challenges ranging from maintaining complex financial systems to accessing and processing creative data sources for our algorithmic credit model. This is not a pipeline-only role. You will own platform primitives: ingestion patterns, data modelling standards, orchestration, governance, reliability, and developer experiences, so that downstream teams can move faster with high-quality, trusted data.
As a company, we are passionate about our customers, fearless in the face of barriers, and driven by data. As an engineering team, we value bottom-up innovation and decentralised decision-making: We believe the best ideas can come from anyone in the company, and we are working hard to create an environment where everyone feels empowered to propose solutions to the challenges we face. We are looking for individuals who thrive in a fast-moving, innovative, and customer-focused setting.
Responsibilities:
Design and build the data platform to support TB-scale datasets with strong reliability, observability, and cost efficiency.
Build standardised ingestion frameworks (batch + near-real-time where needed), including schema evolution, backfills, and data quality controls.
Own warehouse/lakehouse modelling patterns (dimensional, event-based, and domain- oriented models), with clear semantic layers for self-serve analytics.
Implement data governance and security: access controls, lineage, PII handling, retention policies, and audit ability.
Partner with stakeholders to translate ambiguous needs into crisp platform roadmaps and phased delivery.
Scaling our backend services to ever-growing levels of traffic and complexity.
Requirements:
3-5 years building production-grade data/backend systems, with meaningful ownership of platform components end-to-end.
Experience leveraging modern AI tools for efficiency and effectiveness
You have strong knowledge of software development fundamentals, including relevant background in computer science fundamentals, distributed systems, data storage, and agile development methodologies.
You are pragmatic and combine a strong understanding of technology and product needs to arrive at the best solution for a given problem.
You are highly entrepreneurial and thrive in taking ownership of your own impact. You take the initiative to solve problems before they arise.
You are an excellent collaborator and communicator. You know that startups are a team sport. You listen to others, aren't afraid to speak your mind and always try to ask the right questions.
You are excited by the prospect of working in a distributed team and company, working with teammates from all over the world.
Experience in designing, building, and maintaining scalable data architectures that integrate disparate data sources.
Strong fundamentals in distributed systems, data storage, and data modelling.
Hands-on experience with a modern stack similar to dbt + orchestration (Airflow/Dagster) + cloud warehouse (Snowflake/BigQuery/Redshift).
Strong programming ability in Python or Go, plus SQL fluency.

Experience
3-5 yrs