Data Engineer: Build Scalable Pipelines & Data Platform

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

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.