Senior Data Engineer
Indexed description
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.
What Makes This Role Unique
- Build the foundation: Own the data platform that powers AI products used daily by thousands of professionals at Fortune 500 companies
- Work with data that matters: Transform event streams, usage telemetry, and millions of proprietary market research documents into reliable, queryable intelligence
- Solve hard infrastructure problems: Design multi-tenant, secure-by-default pipelines and APIs that meet the compliance bar of the world's most demanding enterprise customers
- Own it end-to-end: 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.
- 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
- 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
- dbt, SQLMesh, or similar transformation framework experience
You'll grow alongside experienced colleagues with deep expertise across AI, market research, and enterprise systems. We offer exceptional career development opportunities in our fast-evolving market, competitive compensation, and a collaborative culture where everyone actively supports each other's success.
Most importantly, you'll have the satisfaction of simplifying the professional lives of thousands of Brand Managers and Consumer Insights professionals worldwide, making their strategic decisions more data-driven and impactful.
Ready to build the data platform behind Fortune 500 strategy? Join us.
Stravito is the insights platform for the world's leading enterprises, right in the middle of an exciting transformation from a SaaS company into a world-class AI company. We bring all of a company's customer and market knowledge into one place, making it findable, usable, and ready to act on, so insights teams can make sharper, fact-based decisions. Founded in Stockholm, Sweden in 2017, Stravito today works with some of the world's most recognised brands and is home to 100 employees across 10 countries in Europe and North America.
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