
51 - 200 employees
Founded 2017
🏢 Enterprise
☁️ SaaS
Enterprise • SaaS
Stravito is a flexible and user-friendly insights platform designed specifically for enterprises. It serves as a knowledge management tool, enabling organizations to centralize, manage, and leverage their collective knowledge effectively. By providing AI-powered search capabilities and a globally accessible library of insights, Stravito helps research and insights teams, stakeholders, and clients find relevant, tailored results swiftly. Often described as a personal Spotify for research or an internal Google, Stravito empowers enterprises to turn insights into actionable assets, minimizing the time and effort spent on information requests and integration with existing data sources.
🕒 July 9
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51 - 200 employees
Founded 2017
🏢 Enterprise
☁️ SaaS
Enterprise • SaaS
Stravito is a flexible and user-friendly insights platform designed specifically for enterprises. It serves as a knowledge management tool, enabling organizations to centralize, manage, and leverage their collective knowledge effectively. By providing AI-powered search capabilities and a globally accessible library of insights, Stravito helps research and insights teams, stakeholders, and clients find relevant, tailored results swiftly. Often described as a personal Spotify for research or an internal Google, Stravito empowers enterprises to turn insights into actionable assets, minimizing the time and effort spent on information requests and integration with existing data sources.
• Build and operate data pipelines that move event streams, document metadata, and usage data into our cloud data warehouse (ClickHouse Cloud, Snowflake, Azure) • Design and maintain APIs for analytics and event extraction, with multi-tenant security baked in (RBAC, OAuth, SSO/SAML) • Make data usable: whether that's modeling schemas for BI consumers, investigating a data quality issue, or helping a stakeholder understand what's possible with the data we have • Keep things reliable and secure through automated tests, monitoring, and handling of sensitive data within SOC 2 and ISO 27001 environments • Power our AI experiences by working with vector stores, indexing, and retrieval systems • Drive engineering best practices across the platform: CI/CD, peer reviews, infrastructure as code, API versioning, and clear documentation
• A track record of building data platforms in SaaS or cloud-native analytics environments • Strong programming skills, with depth in at least one of Python or Kotlin and willingness to work across both. • Experience with Rust or TypeScript is a plus • Hands-on experience with MPP/cloud data warehouses (e.g., ClickHouse, Redshift, BigQuery, Snowflake, Azure Synapse) and cloud infrastructure on AWS or Azure • Practical experience designing, consuming, and maintaining APIs • Familiarity with multi-tenant security patterns: RBAC, row-level security, and identity standards such as OAuth and SAML/SSO • Solid engineering fundamentals: CI/CD, automated testing, observability, and infrastructure as code (Terraform a plus) • Working knowledge of data privacy requirements (PII handling, GDPR) and experience operating within compliance frameworks like SOC 2 or ISO 27001
• Join a remote-first, globally distributed team of 100+ professionals from 30+ nationalities • Exceptional career development opportunities in our fast-evolving market • Competitive compensation • Collaborative culture where everyone actively supports each other's success
Apply Now🕒 July 5
Senior Data Engineer building Azure data platforms and pipelines for clients at All Your BI. Driving data solutions with real impact in a remote-first team.
Azure
SQL
🕒 July 1
Data Engineer responsible for building and maintaining Azure-based data pipelines for BI services. Collaborating across the Data Engineering team to enhance data quality and insights.
Azure
IoT
SQL
Vault