At a Glance
- Tasks: Design and build data pipelines, ensuring data quality and collaborating with teams.
- Company: Dynamic startup in London focused on innovative data solutions.
- Benefits: Competitive salary, flexible work environment, and opportunities for professional growth.
- Other info: Exciting opportunity to thrive in a fast-paced, collaborative environment.
- Why this job: Make a real impact by building robust data solutions from scratch.
- Qualifications: Experience in data engineering, strong Python skills, and knowledge of modern data tools.
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.
Data Engineer employer: Lupa Pets
Lupa Pets is an outstanding employer that fosters a dynamic and supportive work culture, where innovation and collaboration thrive. Located in the vibrant area of Paddington, London, employees benefit from a stimulating environment that encourages personal and professional growth, alongside competitive compensation and unique perks tailored to enhance work-life balance. Join us to make a meaningful impact in the veterinary and pet care industry while developing your career in a company that values your contributions and empowers you to succeed.
We think you need these skills to ace Data Engineer
Data Engineering
Python
Data Pipeline Development
Data Quality Management
Data Modelling
Apache Spark
AWS Services
