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Analytics Engineer (m/f/d)

appinio · 🇬🇧 London, 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 'Appinio Limited', 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
2026-10-24
Posted date
2026-10-24
ATS / Feed source
Arbeitnow

Role Description (Excerpt)

Allow us to introduce ourselves Hello there! We’re Appinio, a global market research company that combines an AI-powered insights platform with expert consultancy. On a mission to make the world a little more fact-based, we help companies understand how consumers think and make smarter decisions. We started out in Hamburg back in 2014, but we’re now humbled to call the world our playground, with over 260 employees spread across 13 countries (we’re remote-first), 2600+ international clients, delivering research from +190 markets, globally. Want to be a part of the Appinio movement? 🚀 Here at Appinio, we value transparency in our recruitment process , and we've created a blog to share what to expect during each step of our journey together: here Your mission as an Analytics Engineer We are looking for an Analytics Engineer (m/f/d) with strong data engineering skills to join our Data team and help build a scalable, reliable, and well-structured data foundation across Appinio. In this role, you will design and maintain clean, scalable data models that make data easy to access, understand, and use across the organisation. You will use SQL, dbt, and Python to transform raw data into meaningful datasets, develop automated workflows, and ensure consistency and reliability across our data warehouse. Beyond data modelling, you will contribute to building, maintaining, and optimising data pipelines and integrations. You will work with APIs, databases, and third-party data sources to…

Excerpt only — read the full requirements and apply directly on appinio's career page. Listing data via Arbeitnow. We do not process applications.