--- title: 'Data Engineer at GWI' canonical: 'https://feeny.ai/job/data-engineer-gwi-athens-hngzh4kebj62' type: 'job' last_seen: '2026-11-04' --- # Data Engineer at GWI - **Company:** GWI - **Location:** Athens, Greece - **Posted:** 2026-11-03 - **Last confirmed live:** 2026-11-04 - **Apply:** https://job-boards.greenhouse.io/globalwebindex/jobs/8925398002 ## Job description Weekly office requirement: Hybrid, 1 day/week Employment type: Permanent, full-time, employee Linked Seniority level: Mid-Senior Every business is using AI. The ones that get it right start with real people. GWI is the human intelligence underneath: verified data that helps businesses understand what moves their audience, and act on it faster. If you want your work to matter, keep reading. What will I be doing? As our Data Engineer you’ll maintain and enhance the Business Data Platform that sits at the heart of our BI Engineering team, serving analytics built on GWI’s internal data to the wider business so it can make confident decisions. You’ll work closely with colleagues across GWI to keep pipelines dependable, data models clear and analytics-ready, and data securely accessible across dashboards and AI tooling. The accuracy and accessibility of our data shape how we measure performance, plan ahead and adopt AI-assisted analytics, so your work directly supports GWI’s goal of putting consumer insights at the heart of every organisation. A few things you’ll be responsible for: - Building and running reliable, well-monitored data pipelines, infrastructure and warehouse, backed by strong testing and data quality practices. - Designing analytics-ready data models with clear lineage and documentation, in close partnership with analysts and stakeholders. - Optimising warehouse cost and performance through query tuning, efficient data modelling and careful resource management. - Managing data access so the right people and AI assistants can securely find, understand and use trusted, well-documented data. Working at GWI means a high tempo environment where change is common. We’re building quickly because the industry is moving quickly, and our customers rely on us to stay ahead. If you like being part of that, you’ll enjoy it here. What do I need to bring with me? You’ll need to be able to demonstrate the core skills this role requires. You don’t have to tick all the boxes right away; the important thing is that you’re willing to learn. - Data engineering experience: a strong track record of impactful delivery as a Data or Analytics Engineer, with proficiency in SQL and Python. - End-to-end pipelines: hands-on experience with ingestion, orchestration, modelling, transformation and data quality on a cloud data stack, such as BigQuery, Airflow and dbt (or equivalents). - Engineering practices: Git, code reviews, testing, documentation and CI/CD, plus comfort using AI-assisted development tools while reviewing and testing their output with care. - Data governance: knowledge of data accessibility, cataloguing and quality assurance. - Independence and collaboration: you can scope, estimate and deliver work independently in an Agile environment, and you communicate well with analysts and stakeholders. - A plus: exposure to preparing data for AI use cases, such as semantic and metrics layers, well-documented models, and LLM-based tooling (RAG, embeddings, vector databases). #li-hybrid ## #LI-NIKOSSS1 ## About GWI ## Company Overview - **One-liner**: GWI provides a global consumer insights platform that delivers verified, anonymized human data to power smarter business decisions and more reliable AI. - **Entity Type**: Private (Series B) - **Headquarters**: London, UK (with hubs in New York, Athens, Prague, and Singapore) - **Founded**: 2009 - **Founders**: Tom Smith (CEO) ## Core Business - **Primary Industry**: Market Research & Consumer Insights / AI Data Infrastructure - **Target Customers**: Brands, agencies, media companies, and tech firms (B2B Enterprise). - **Mission**: To provide the human truth behind the numbers, making AI smarter, more reliable, and grounded in real human behavior. ## Products & Services - **GWI Global Human Insights Platform**: A subscription-based SaaS platform that allows users to explore consumer attitudes, interests, and behaviors across 50+ markets. It provides trended data and deep analysis tools. - **GWI Spark (Agent Spark)**: An AI-powered analyst tool that allows users to query the company's 35 billion data points using natural language, getting instant, data-backed answers. It is designed to integrate with other AI tools like ChatGPT and Claude. ## Market Standing - **Valuation/Market Cap**: Not publicly disclosed (classified as a "Soonicorn" by Sifted in 2024). - **Key Metric**: **$100M in total bookings** (achieved in 2025). Total funding raised: **$180M** (Series B in 2022). - **Notable Investors/Partners**: Not explicitly listed in the provided sources, but the company is backed by institutional investors following its $180M Series B. - **Growth Signals**: Hit $100M in total bookings in 2025. Recognized by the Financial Times as one of Europe’s Long-Term Growth Champions (2024). Featured on Sifted’s “Soonicorns to watch” list (2024). Processes 35 billion data points and 2M+ interviews annually. ## Competitive Advantages - **Scale of Proprietary Data**: 35 billion data points from 2M+ interviews annually across 50+ markets, providing a massive, defensible dataset. - **Verification & Authenticity**: Unlike web-scraped data used by many AI models, GWI’s data is sourced from verified, anonymized survey respondents, making it more reliable and accurate for human truth. - **First-Mover in AI Integration**: Launching "Agent Spark" positions them at the intersection of market research and the AI agent ecosystem, making their data a critical input for enterprise AI applications. ## Strategic Focus - **AI-Native Product Development**: Transforming from a traditional insights platform into an AI-powered data infrastructure company. The launch of GWI Spark and making data available inside AI tools are key priorities. - **Expanding Data Monetization**: Moving beyond direct subscriptions to licensing data for use within third-party AI models and tools. - **Global Reach**: Continued expansion into key markets like APAC (Singapore office opened in 2021). ## Why Work Here - **Culture**: Described as open, autonomous, and trust-based. Values include curiosity, collaboration, and a genuine commitment to DEI. - **Work Environment**: Flexible working hours and a hybrid/office model with hubs in London, New York, Athens, Prague, and Singapore. The company emphasizes that work-life balance is a core principle, not a perk. - **Growth & Rewards**: Offers bespoke personal development, accredited leadership training, and a data-led rewards program. The company has a "scale-up mindset" with world-changing ambition. - **Engineering Culture**: Focus on building the "missing element" for the next generation of AI, offering engineers the chance to work on cutting-edge problems at the intersection of data science and AI. ## Sources 1. [gwi.com](https://www.gwi.com/) 2. [gwi.com/careers](https://www.gwi.com/careers) 3. [gwi.com/about-us](https://www.gwi.com/about-us) 4. [en.wikipedia.org](https://en.wikipedia.org/wiki/GWI_(company)) 5. [linkedin.com](https://www.linkedin.com/company/gwidotcom) ## Other roles at GWI - [Account Director - Enterprise Tech & Media](https://feeny.ai/job/account-director-enterprise-tech-media-gwi-london-f2jm251mk9he) — London, United Kingdom - [Senior Research Analyst - Caregiver Leave Cover](https://feeny.ai/job/senior-research-analyst-caregiver-leave-cover-gwi-london-hmgegwzm5yq8) — London, United Kingdom - [Senior Product Manager (Data Products)](https://feeny.ai/job/senior-product-manager-data-products-gwi-athens-ncjr43wj40mb) — Athens, Greece - [Senior Product Manager (Data Products)](https://feeny.ai/job/senior-product-manager-data-products-gwi-london-6vcyc8c7ab46) — London, United Kingdom - [Senior Security Engineer](https://feeny.ai/job/senior-security-engineer-gwi-athens-c222z6h48c9v) — Athens, Greece - [Director of Marketing Operations](https://feeny.ai/job/director-of-marketing-operations-gwi-london-a1kf0s2scwgm) — London, United Kingdom - [Senior Data Journalist](https://feeny.ai/job/senior-data-journalist-gwi-london-j10tah402acd) — London, United Kingdom - [Sales Development Representative](https://feeny.ai/job/sales-development-representative-gwi-new-york-qrpskpjba6kr) — New York, NY - [Product Manager](https://feeny.ai/job/product-manager-gwi-london-zzg1zhg57d6c) — London, United Kingdom - [Senior Enterprise Account Executive](https://feeny.ai/job/senior-enterprise-account-executive-gwi-london-14e3r0m5t8t1) — London, United Kingdom