Hover or tap a row for full statistics (EUR / month on this chart).
Salary analysis
Compared with the selected benchmark ("All roles in Remote - Europe"), this listing's salary midpoint is about 94% lower. The offer sits below the benchmark range (€3,060–€14,526). The listed pay band (€401–€579) is tighter than the benchmark, which suggests lower salary variability. This benchmark is based on 33 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 |
| All roles in Remote - Europe | €3,060/per month | €5,524/per month | €14,526/per month |
| This job's pay range — not quoted in ad (Senior) | €401/per month | €490/per month | €579/per month |
This vacancy is for a Senior Data Engineer in a remote Europe role. You will develop long-term technical vision for data initiatives, design components and libraries, and contribute to scalable data pipelines. Mentoring is part of the role, along with maintaining standards for engineering and operations and creating documentation to facilitate collaboration. The ideal candidate has 4+ years of experience in data engineering, strong Python and SQL skills, experience with ETL pipelines, data warehouses, and orchestration tools like Airflow, and familiarity with dbt or similar transformation tools. Cloud experience (GCP or equivalent), CI/CD practices, Git, and collaborative development are expected. This position is remote within Europe with EST-friendly working hours.
Job Details
Responsibilities
- Design and implement scalable data pipelines
- Collaborate with analytics teams to turn data into insights
- Mentor engineers and uphold engineering standards
- Develop documentation for code libraries and components
- Own production data systems including monitoring and incident response
Requirements
- 4+ years of experience in data engineering or closely related roles
- Strong experience building and maintaining production data pipelines using Python
- Hands-on experience integrating data from external APIs
- Experience operating batch ELT pipelines and working with data warehouses
- Advanced SQL skills and experience modeling data for analytics and reporting use cases
- Experience working with orchestration tools such as Airflow
- Familiarity with dbt or similar transformation tools
- Demonstrated ownership of production systems, including monitoring, debugging, and incident response
- Comfort working in ambiguous environments and making pragmatic technical decisions
- Experience working in a cloud environment such as GCP (or equivalent)
- Familiarity with CI/CD practices and source control (e.g., GitHub)
- Experience working in collaborative, iterative development environments
Skills & Technologies
Benefits & Perks
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