Data Engineer
Satori Analytics
Data Engineer
Satori Analytics
AI-powered decision analytics for enterprises
Satori Analytics · Athens, Greece (Hybrid) · Full-time · Posted 2026-11-12
Workplace: hybrid
Department: Data Engineering
At Satori Analytics, we aim to change the world one algorithm at a time by bringing clarity to global brands thought Data & AI. From cloud-based ecosystems for fintech to predictive models for airlines, our cutting-edge solutions cover the entire data lifecycle—from ingestion to AI applications.
As a fast-growing scale-up, our team of 100+ tech specialists—including Data Engineers, Data Scientists, and more—delivers innovative analytics solutions across industries like FMCG, retail, manufacturing and FSI. Join us as we lead the data revolution in South-Eastern Europe and beyond!
We're looking for a Data Engineer to design, build, and operate the scalable data platforms behind global payments & financial services leader's marketing products. You'll enable campaign measurement, customer insights, reporting, and AI/ML initiatives — partnering with Product, Engineering, Data Science, and Business stakeholders to turn complex data challenges into secure, reliable, high-quality solutions at enterprise scale.
Your Day will Look Like:
Your Superpowers 🚀
Ready to create some data magic with us? Hit that apply button and let’s get started.
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AI-powered decision analytics for enterprises
Satori Analytics creates data and AI solutions that help organizations make better decisions. It develops and deploys enterprise-grade AI systems that integrate data pipelines, analytics, and machine learning models into clients’ operations so managers can gain clear, data-backed insights. Unlike firms that only talk about AI, Satori emphasizes delivering production-ready AI solutions across industries such as Energy, Financial Services, Consumer Goods, Manufacturing, and Government, with deployments in more than 15 countries and 100+ production-grade AI solutions. The company differentiates itself through its track record of real deployments and its focus on practical impact rather than theoretical capabilities. Its goal is to provide clarity in decision making by making AI-driven insights readily usable for business leaders and operators.
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