Hover or tap a row for full statistics (EUR / month on this chart).
Salary analysis
Compared with the selected benchmark ("All roles in Stockholm, Sweden"), this listing's salary midpoint is about 94% lower. The offer sits below the benchmark range (€3,904–€12,918). The listed pay band (€450–€599) is tighter than the benchmark, which suggests lower salary variability. This benchmark is based on 13 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 Stockholm, Sweden | €3,904/per month | €7,051/per month | €12,918/per month |
Senior Data Engineer role at Resurs Bank. We are undergoing a cloud transformation and are building a modern data platform from the ground up. You will design, build, and operate data pipelines using AWS services; ensure data governance and security; collaborate with business stakeholders and data scientists; mentor juniors; and drive DataOps practices. We offer a hybrid remote work solution within Sweden with occasional HQ visits in Helsingborg. Responsibilities include designing data pipelines and architectures, implementing scalable data platforms for advanced analytics, ensuring quality and security, translating business requirements into robust data products, leading data architecture decisions, and mentoring teammates. Requirements include strong AWS experience (ECS, S3, Athena), SQL and dbt, Terraform/CDK, Python, and data orchestration tools (Dagster/Airflow). Nice-to-have: banking/fintech experience, Docker/serverless, agile/DataOps. Start date per agreement.
Job Details
Responsibilities
- Design, build, and optimize end-to-end data pipelines and architectures using AWS services
- Build scalable unified data platform solutions that support advanced analytics
- Ensure data quality, governance, and security across all data flows
- Partner with cross-functional teams to translate business requirements into robust data products
- Drive DataOps practices, monitoring, and automated pipeline orchestration
- Mentor junior team members and contribute to data engineering standards
- Lead technical decision-making for data architecture and tooling
Requirements
- Proven track record delivering scalable data solutions in cloud environments
- Strong AWS data services (ECS, S3, Athena)
- Advanced SQL skills and experience with data warehouse architectures
- dbt
- Infrastructure as code (Terraform, CDK)
- CI/CD
- Python
- Dagster or Airflow
- Data governance, security, compliance in regulated industries
Skills & Technologies
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