Data Engineer
Core
Designing and developing data flows for processing large-scale transaction and micro-data to support asset management and payment statistics at the central bank.
Role type
Data Engineer (Financial Data Infrastructure)
Builds
Robust data pipelines, APIs, and data products for asset management and payment systems.
Domain
Central Banking / Financial Services / Data Engineering
Required skills
Python, data orchestration (Dagster, Airflow, dbt), large-scale data processing, API development, automated testing, CI/CD pipelines, Marimo notebooks, SQL (implied by data processing), containerization (Podman, Kubernetes), data lake storage (S3, LakeFS), Agile methodologies.
Preferred skills
DevOps principles, financial or fintech industry experience.
Responsibilities
Design and develop data flows for processing large and detailed datasets; write automated tests to ensure code quality and maintain CI/CD pipelines; develop APIs to make data accessible; use Marimo notebooks to visualize and share results; contribute to AI adoption in business operations. (via careerplan.io/jobs/31206914-data-engineer-at-sveriges-riksbank)
Seniority
Mid-level (2+ years experience required)
