Data Engineer

Lupa; Greater London; On-site; GBP 70,000 - 110,000; Full time

Job summary

Lupa is building a category defining product for veterinary practices and pet parents, with an AI-native operating system for practices and clients in London. We’re seeking a data engineer to design and build end-to-end data pipelines, own data quality, monitor production pipelines, and collaborate across engineering and product teams to evolve our data platform as we scale globally.

Join a fast-growth startup with a mission to replace fragmented systems, located at our Paddington, London HQ.

Qualifications

• Hands-on data engineering experience in professional setting.
• Strong Python skills and ability to build pipelines from scratch.
• Solid knowledge of data modelling and practical experience with Spark, AWS, Docker, Airflow.
• Experience in startup or fast-growth environment with pragmatic decision-making.
• Scala experience is a plus and welcome to train.
• Familiarity with dbt, Delta Lake or similar tooling is a plus.
• Exposure to ML pipelines or feature stores is a plus.

Responsibilities

• Design and build data pipelines from raw ingestion to clean, modelled datasets used by engineering and product teams.
• Own data quality across your domain, define standards, instrument checks, and resolve failures with urgency.
• Monitor pipeline health in production and respond proactively to issues.
• Collaborate with engineering and product to translate data requirements into robust, scalable solutions.
• Help define and evolve the architecture of the data platform as the company scales to new geographies and surfaces.
• Document work clearly so the team can understand, extend, and maintain what you build.

Skills

Python

Data modelling

Apache Spark

AWS

Docker

Airflow

Scala

Tools

Apache Spark

AWS

Docker

Airflow

dbt

Delta Lake

Job description

About Us

Lupa is building a category defining product the industry has never seen before.

About Us

Lupa is building a category defining product the industry has never seen before.

We're the AI-native operating system for veterinary practices and pet parents, replacing the fragmented, clunky systems vets have tolerated for years with a single intelligent platform for scheduling, client communication, clinical documentation, and AI-driven care guidance. Practices run more efficiently, vets get back to doing what they love, and pet parents feel more connected to their animals' health than ever.

The traction speaks for itself: founded in 2023 and already one of Europe's top 100 AI startups, with a team of 50 people, 10x growth in twelve months, the UK market leader, and now charging hard into the US and Europe. We have $25M in funding, 1M+ pets on the platform, and a buzzing HQ in Paddington, London. We've attracted exceptional people from the likes of Palantir, Google, DeepMind, BCG, Meta, and AWS and we're just getting started.

This is a rare chance to join a rocket ship at exactly the right moment and we're looking for exceptional people to help us fly it.

In this role, you will:

• Design and build data pipelines from raw ingestion through to clean, modelled, production-ready datasets that engineering and product teams rely on
• Own data quality across your domain, defining standards, instrumenting checks, and resolving failures with urgency
• Monitor pipeline health in production and respond to issues proactively, not reactively
• Collaborate with engineering and product to understand data requirements and turn them into robust, scalable solutions
• Help define and evolve the architecture of our data platform as we scale across new geographies and product surfaces
• Document your work clearly so the team can understand, extend, and maintain what you build

Your background looks something like:

• Multiple years of hands‑on data engineering experience in a professional setting
• Strong Python skills and a demonstrated ability to build pipelines from scratch, not just extend existing ones
• Solid knowledge of data modelling and practical experience with Apache Spark, AWS services, Docker, and Airflow
• Experience in a startup or fast‑growth environment where you’ve made pragmatic decisions under uncertainty
• Scala experience (nice to have, we’re happy to invest in teaching it if your foundations are strong)
• Familiarity with dbt, Delta Lake, or similar modern data transformation tooling (nice to have)
• Exposure to ML pipelines or feature stores (nice to have)

As a person, you:

• Have a proactive, ownership-oriented mindset. You don’t wait to be told something is broken
• Take genuine pride in craft and correctness, and hold yourself to a high bar
• Collaborate well with engineering teams who consume your data and communicate clearly across functions
• Thrive in environments where you’re expected to build from scratch, not inherit a tidy queue of tickets
• Are excited to work in‑person from our Paddington, London HQ (or equivalent location)

What does success look like in 6 months?

• You’ve built and shipped at least two meaningful pipelines end‑to‑end
• You own a defined area of the data platform and are making architectural calls with confidence
• The team trusts your judgement without needing to review every decision