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Senior Analytics Engineer

Paddle · United Kingdom · Remote possible

Confidence
Medium confidence
Posted
13 Aug 2026
First seen
25 Oct 2026
Last checked

Evidence

Medium confidence

Paddle is on the UK Home Office register. The posting doesn’t mention visas.

Sponsor register

UK Home Office Register of Licensed Sponsors

Listed as Paddle.com Market Limited. London · Skilled Worker route · A rating. Snapshot 26 Oct 2026.

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Job posting

Doesn’t mention visas or relocation.

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Still open

Seen on the job board

First seen 25 Oct 2026. We check every day and remove closed roles.

Where you apply

jobs.ashbyhq.com/paddle

Paddle’s job board, hosted by Ashby.

Being on the register means Paddle can sponsor visas. It doesn’t confirm this role qualifies, so check with the recruiter.

About the role

What do we do? Paddle offers digital product companies a completely different approach to their payment infrastructure. Instead of assembling and maintaining a complex stack of payments-related apps and services, we’re a Merchant of Record for our customers. That means we take away 100% of the pain of payment fragmentation.

It’s faster, safer, cheaper, and, above all, way better. We’re backed by investors including KKR, FTV Capital, Kindred, Notion, and 83North and serve over 10,000 software sellers in 245 territories globally. The Role: We are seeking a Senior Analytics Engineer to drive significant business impact by shaping our data infrastructure, developing robust data models, and promoting best practices in analytics engineering (e.

g., data quality, documentation, and scalable data architectures). You will collaborate closely with business stakeholders to identify and deliver high-value data solutions and provide informal mentorship to junior team members, fostering their growth and enhancing team capabilities. What you'll do: - Create and maintain complex, scalable data models in Snowflake using dbt. - Expose datasets effectively in BI tooling to enable robust self-service analytics. - Perform simple data ingestion tasks using no-code tools and ensure streamlined data flows. - Add comprehensive metadata to datasets, including documentation, data quality checks, and sensitive data masking. - Activate data by pushing it from Snowflake into other operational tools.

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Apply on Paddle’s site

Opens jobs.ashbyhq.com/paddle