
51 - 200 employees
Founded 2010
🤖 Artificial Intelligence
🤝 B2B
🏢 Enterprise
💰 Grant on 2016-02
Artificial Intelligence • B2B • Enterprise
Satalia is a company that leverages advanced technologies to optimize and improve various business operations. They provide a platform for cloud development and data-driven services, employing cloud architects and data scientists to deliver innovative solutions. Satalia operates remotely, with locations in Greece, London, Kaunas, and Vienna. They focus on integrating analytics and marketing strategies to enhance user experience and functionality on their platforms.
🔥 0 minutes ago
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51 - 200 employees
Founded 2010
🤖 Artificial Intelligence
🤝 B2B
🏢 Enterprise
💰 Grant on 2016-02
Artificial Intelligence • B2B • Enterprise
Satalia is a company that leverages advanced technologies to optimize and improve various business operations. They provide a platform for cloud development and data-driven services, employing cloud architects and data scientists to deliver innovative solutions. Satalia operates remotely, with locations in Greece, London, Kaunas, and Vienna. They focus on integrating analytics and marketing strategies to enhance user experience and functionality on their platforms.
• Design, build, and maintain data pipelines that serve models, data, and AI workflows to internal and client-facing applications. • Work across database types — relational, vector, and graph — to model and store data appropriately for each access pattern, in partnership with data scientists. • Build and maintain dbt models — writing transformation logic, tests, and documentation that ensure data quality and traceability. • Operate what you build : instrument pipelines with logging, metrics, and tracing, and help diagnose and resolve production data issues. • Write clean, tested, production-quality code and contribute to CI/CD pipelines and infrastructure-as-code. • Participate in code reviews, design discussions, and retrospectives.
• 2–4 years of professional data engineering experience, with work deployed to production. • Strong proficiency in at least one general-purpose language (e.g., Python, Scala, or Java) and comfort working across a codebase. • Solid fundamentals in designing and building data pipelines (ETL/ELT), with experience in Apache Spark for large-scale data processing. • Experience with cloud platforms (GCP/AWS), containers (Docker), and CI/CD. • Strong software engineering practices — Git, testing, code review, CI/CD. • Clear communication — you can explain technical choices and trade-offs to both technical and non-technical colleagues.
• healthcare • Remote working - café, bedroom, beach - wherever works; • Truly flexible working hours - school pick up, volunteering, gym; • Generous Leave – inline with Greek Labour Law • Impactful projects - focus on bringing meaningful social and environmental change; • People oriented culture - wellbeing is a priority, as is being a nice person; • Transparent and open culture - you will be heard; • Development - focus on bringing the best out of each other;
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