Senior Data Engineer

<h3>We are Stravito and this is the problem we solve.<br></h3><p>Stravito transforms how Consumer Insights professionals and Brand Managers work by building AI that automates their core workflows. We help world-leading organizations across industries accelerate strategic decision-making by turning millions of market research documents into intelligent systems that generate reports, discover insights proactively, and synthesize knowledge across vast content libraries.</p><p>The data platform underneath makes all of this possible: ingesting millions of documents, enforcing tenant-level security, and feeding the AI systems our customers rely on daily.<br></p><h3><span><strong id="docs-internal-guid-6efbc67a-7fff-b2f1-1a16-1540dbbf6fb6">What Makes This Role Unique</strong></span></h3><ul><li><p><span><strong>Build the foundation:</strong> Own the data platform that powers AI products used daily by thousands of professionals at Fortune 500 companies</span></p></li><li><p><span><strong>Work with data that matters:</strong> Transform event streams, usage telemetry, and millions of proprietary market research documents into reliable, queryable intelligence</span></p></li><li><p><span><strong>Solve hard infrastructure problems:</strong> Design multi-tenant, secure-by-default pipelines and APIs that meet the compliance bar of the world's most demanding enterprise customers</span></p></li><li><p><span><strong>Own it end-to-end:</strong> This isn't a role where someone else defines the work. You'll scope work independently, dig into data quality issues, field requests from stakeholders, and drive things to completion.</span></p></li></ul><h3><span><strong id="docs-internal-guid-28a07a2a-7fff-6f59-097f-79f603ec9dad">What You’ll Do</strong></span></h3><p><span>As part of the platform team, you'll own a broad area: from building infrastructure to supporting the teams that depend on it. In any given week you might:</span></p><ul><li><p><span>Build and operate data pipelines that move event streams, document metadata, and usage data into our cloud data warehouse (ClickHouse Cloud, Snowflake, Azure)</span></p></li><li><p><span>Design and maintain APIs for analytics and event extraction, with multi-tenant security baked in (RBAC, OAuth, SSO/SAML)</span></p></li><li><p><span>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</span></p></li><li><p><span>Keep things reliable and secure through automated tests, monitoring, and handling of sensitive data within SOC 2 and ISO 27001 environments</span></p></li><li><p><span>Power our AI experiences by working with vector stores, indexing, and retrieval systems</span></p></li><li><p><span>Drive engineering best practices across the platform: CI/CD, peer reviews, infrastructure as code, API versioning, and clear documentation</span></p></li></ul><h3><span><strong id="docs-internal-guid-018842f2-7fff-fb98-aa51-3171ffb890a6">What We Need</strong></span></h3><p><span><strong id="docs-internal-guid-018842f2-7fff-fb98-aa51-3171ffb890a6">Must-haves</strong></span></p><ul><li><p><span>A track record of building data platforms in SaaS or cloud-native analytics environments</span></p></li><li><p><span>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</span></p></li><li><p><span>Hands-on experience with MPP/cloud data warehouses (e.g., ClickHouse, Redshift, BigQuery, Snowflake, Azure Synapse) and cloud infrastructure on AWS or Azure</span></p></li><li><p><span>Practical experience designing, consuming, and maintaining APIs</span></p></li><li><p><span>Familiarity with multi-tenant security patterns: RBAC, row-level security, and identity standards such as OAuth and SAML/SSO</span></p></li><li><p><span>Solid engineering fundamentals: CI/CD, automated testing, observability, and infrastructure as code (Terraform a plus)</span></p></li><li><p><span>Working knowledge of data privacy requirements (PII handling, GDPR) and experience operating within compliance frameworks like SOC 2 or ISO 27001</span></p></li></ul><p><span><strong id="docs-internal-guid-018842f2-7fff-fb98-aa51-3171ffb890a6">Nice-to-haves</strong></span></p><ul><li><p><span>Experience integrating with BI tools (Power BI, Tableau, Looker)</span></p></li><li><p><span>Familiarity with semantic search, embeddings, or vector stores (e.g., Pinecone, pgvector)</span></p></li><li><p><span>Exposure to event-driven or streaming architectures (Kafka, Kinesis, SQS/SNS)</span></p></li><li><p><span>Experience with containerisation (Docker, ECS/Fargate)</span></p></li><li><p><span>Interest in leveraging LLMs and AI tooling to accelerate