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Apron

Data Engineer

Posted 4 Days Ago
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In-Office
London, England
Senior level
In-Office
London, England
Senior level
The Senior Data Engineer will enhance Apron's data platform by ensuring its reliability, scalability, and security while overseeing data governance and implementing self-serve data tools for teams.
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About Apron

Apron was started by a group of people who’d spent years building products for global fintech companies. But there was one big problem no one was solving. Business payments. The kind that buy tomatoes, tools, and till rolls. The kind that keep suppliers happy and business booming. The kind that should be super simple to make and manage, and yet, aren’t. Payments eat up valuable hours every week for both businesses and the accountants and bookkeepers who help them.

This is a problem that’s affecting entrepreneurs. Florists and financial analysts. Brewers and brand strategists. The kind of people who build things, break things, change things. Imagine what they could do with this time instead. What would they come up with? What would they create?

That’s why we built Apron as a payments powerhouse. We flip the payment experience from blocking business to boosting it. Apron pulls all things payments together – weaving into your workflow, collating conversations, turning hours into minutes. So you can put those hours to better use – plan the future, take a walk, call your mum.

We are backed by Index Ventures and Bessemer Venture Partners.

Who we’re looking for

At Apron, many of our teams rely on data - from Payments, Cards, and Invoice Capture to Customer Support. We’re also actively developing AI technologies, such as document recognition and invoice detection, that depend on a strong data foundation.

We already have talented data analysts, and many others across the company (product managers, engineers, support) who work with data every day. Our goal is to empower everyone at Apron to explore, understand, and act on data in a self-serve way.

So far, we’ve built the first version of our data platform using dbt and Metabase. Now we’re taking it to the next level: evolving the architecture to handle more data sources, greater scale, and new use cases from analytics to AI. This includes building a warehouse setup that can grow with us, consolidating company-wide data, and giving every team the tools to use it effectively.

We’re looking for a Senior Data Engineer who can own and lead this evolution of our data platform: making it reliable, scalable, secure, and ready for the next stage of Apron’s growth. The role is hybrid, with the expectation of working 3+ days per week from our Liverpool Street offices.

What you’ll be doing
  • Build & run our data platform so it’s fast, reliable, and always ahead of the curve.

  • Make data self-serve for the whole team — ensuring everything lands in our DWH with the right discovery & cataloging tools in place.

  • Set the rules of the road for data governance, privacy, and compliance (GDPR and beyond).

  • Keep our data safe by implementing and monitoring security controls.

  • Get your hands dirty — this is a hands-on IC role where you’ll own the development and support of the platform.

What we’re looking for
  • 5+ years across Data/Software Engineering, Data Analysis.

  • SQL & Python: schema design, transformations, query optimisation, automation, testing.

  • Track record of building ETL/ELT pipelines into modern warehouses (BigQuery, Snowflake, Redshift).

  • Familiar with tools like Dagster, Airflow, Prefect, dbt, Dataform, SQLMesh.

  • Cloud experience (we’re on GCP) + containerisation (Docker, Kubernetes).

  • Strong sense of ownership over data standards, security, and roadmap.

  • A collaborator at heart — working with analysts, engineers, and product teams to turn data into business impact.

Benefits
  • 29 days Annual Leave (exclusive of public holidays)

  • Birthday day off (if it falls on a weekday)

  • Weekly Deliveroo budget

  • AXA Healthcare Insurance (with Dental and Optical Cover)

  • Stock Options

  • Fully expensed tech

  • Hybrid setup - this role will be in office 3+ days per week

Top Skills

Airflow
BigQuery
Dagster
Dataform
Dbt
Docker
Kubernetes
Prefect
Python
Redshift
Snowflake
SQL
Sqlmesh

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