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Senior Analytics Engineer

Paddle · 🇬🇧 United Kingdom

Sponsorship Verification Proof

✓ 🇬🇧 UK Home Office Licensed Sponsor

Employer is on the UK Home Office register of licensed sponsors.

UK Home Office Register of Licensed Sponsors (Skilled Worker route): listed as 'Paddle.com Market Limited' (via alias), London — Skilled Worker; Worker (A rating)

An official government register match confirms the employer holds an active sponsor licence in this country. It does not guarantee that every individual role meets minimum salary or skill thresholds — always confirm sponsorship eligibility with the recruiter.

Verification category
Employer on official sponsor register
Role category
Data
Last verified
2026-10-25
First indexed
2026-10-25
Posted date
2026-08-13
ATS / Feed source
Ashby job board

Role Description (Excerpt)

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. -…

Excerpt only — read the full requirements and apply directly on Paddle's career page. We do not process applications.