Hover or tap a row for full statistics (EUR / month on this chart).
Salary analysis
Compared with the selected benchmark ("All roles in Remote - Global"), this listing's salary midpoint is about 94% lower. The offer sits below the benchmark range (€2,174–€15,281). The listed pay band (€500–€583) is tighter than the benchmark, which suggests lower salary variability. This benchmark is based on 283 comparable listings.
| Market | Lower bound (25th percentile) | Median | Upper bound (75th percentile) |
|---|---|---|---|
| Market Average: Data Engineer | €2,990/per month | €5,125/per month | €7,204/per month |
| All roles in Remote - Global | €2,174/per month | €6,688/per month | €15,281/per month |
| Pay in our data — not quoted in ad (Senior) | €500/per month | €542/per month | €583/per month |
The role involves building streaming and batch pipelines, developing self-serve tooling, managing data contracts and schema evolution, designing lakehouse and time-series layers, and ensuring data governance and quality. The candidate will work with real-time data processing, system design, and operational readiness, focusing on outcomes, ownership, and collaboration across teams. Experience with Kafka, ClickHouse, lakehouse architecture, Docker, Terraform, and Python/SQL is required. Knowledge of financial market data and interest in market mechanisms are a plus.
Job Details
Responsibilities
- Build streaming and batch pipelines
- Build self-serve tooling
- Own data contracts and schema evolution
- Design lakehouse and time-series layer
- Build and evolve Data Governance and Data Quality Framework
- Build derived analytics
- Make observability, cost, and performance first-class
- Treat infrastructure as code
- Work in the open
Requirements
- 8+ years of building production data systems
- Proficiency in Python and SQL
- Understanding of data modelling for streaming and analytical workloads
- Experience with Kafka, ClickHouse, lakehouse architecture, Docker, Terraform
Skills & Technologies
Education Level
None requiredRecruitment Process
- 1We’re after those with the right skills and a conscious choice to join our field.
- 2The perfect fit? Someone who’s driven, collaborative, acts with ownership and delivers solid, scalable outcomes.
- 3We are committed to building a positive and collaborative work environment.
- 4We welcome employees of all backgrounds, and hire, reward and promote based on merit and performance.
- 5We perform background checks on all potential employees.
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