Senior Data Engineer

Job not on LinkedIn

🕒 April 22

Apply Now

Find Similar Remote Jobs

Receive Emails For Remote Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

Stravito

WebsiteLinkedInAll Job Openings

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.

📋 Description

• 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

🎯 Requirements

• 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 • 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 • Experience integrating with BI tools (Power BI, Tableau, Looker) • Familiarity with semantic search, embeddings, or vector stores (e.g., Pinecone, pgvector) • Exposure to event-driven or streaming architectures (Kafka, Kinesis, SQS/SNS) • Experience with containerisation (Docker, ECS/Fargate) • Interest in leveraging LLMs and AI tooling to accelerate data engineering work

🏖️ Benefits

• Competitive compensation • Exceptional career development opportunities • Remote-first, globally distributed team events throughout the year