Hover or tap a row for full statistics (EUR / month on this chart).
Salary analysis
Compared with the selected benchmark ("Market Average: Mid-Level Level"), this listing's salary midpoint is about 2% lower. The offer still falls within the benchmark range (€4,000–€7,000). The listed pay band (€4,543–€6,250) is tighter than the benchmark, which suggests lower salary variability. This benchmark is based on 8 comparable listings.
| Market | Lower bound (25th percentile) | Median | Upper bound (75th percentile) |
|---|---|---|---|
| Market Average: Data Engineer | €3,000/per month | €5,375/per month | €7,560/per month |
We are Stravito and this is the problem we solve. 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. 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. The role involves owning the data platform, transforming event streams and proprietary documents into queryable intelligence, designing secure pipelines and APIs, supporting data modeling for BI, ensuring reliability and security, working with vector stores, and driving engineering best practices. Must-have skills include experience with SaaS/cloud data platforms, programming in Python or Kotlin, experience with cloud data warehouses (ClickHouse, Snowflake, Azure), API design, multi-tenant security, CI/CD, automated testing, and compliance frameworks like SOC 2 and ISO 27001. Nice-to-haves include BI tool integration, semantic search, streaming architectures, containerisation, AI tooling, and transformation frameworks. The role is fully remote, requiring residency in the UK, Sweden, or the Netherlands. The position offers growth, competitive pay, and the chance to impact Fortune 500 companies.
Job Details
Responsibilities
- Own and operate data pipelines for event streams, metadata, and usage data into cloud data warehouses
- Design and maintain secure APIs for analytics and event extraction
- Model schemas for BI, investigate data quality issues, support stakeholders
- Ensure reliability and security through automated tests, monitoring, and handling sensitive data
- Work with vector stores, indexing, and retrieval systems for AI experiences
- Drive engineering best practices: CI/CD, peer reviews, infrastructure as code, API versioning, documentation
Requirements
- Experience with building data platforms in SaaS or cloud-native environments
- Strong programming skills in Python or Kotlin, experience with Rust or TypeScript is a plus
- Hands-on experience with cloud data warehouses (ClickHouse, Redshift, BigQuery, Snowflake, Azure Synapse) and cloud infrastructure on AWS or Azure
- Designing, consuming, and maintaining APIs
- Knowledge of multi-tenant security patterns: RBAC, row-level security, OAuth, SAML/SSO
- Solid engineering fundamentals: CI/CD, automated testing, observability, infrastructure as code (Terraform)
- Knowledge of data privacy requirements (PII, GDPR) and compliance frameworks like SOC 2 or ISO 27001
Skills & Technologies
Education Level
No degree required
| Location | Active listings |
|---|---|
| Remote - Global | 9 |
| Stockholm, Sweden | 1 |
| Role type | Active listings |
|---|---|
| AI Engineer | 2 |
| Product Manager | 1 |
| Customer Success Leadership | 1 |
| Customer Success Manager | 1 |
| Backend Engineer | 1 |
| Customer Delivery | 1 |
| Legal AI Intern | 1 |
| Sales Enablement | 1 |
| Role level | Active listings |
|---|---|
| Mid-Level | 8 |
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