Data Engineer
Summary
A data engineer working for a banking & finance client in Stockholm: maintaining production Python/PostgreSQL services while building and operating cloud-native data pipelines, APIs, and services on GCP (Terraform, Cloud Run, Cloud SQL, BigQuery), including incident handling and stakeholder communication. Hybrid: 3 days onsite, 2 days remote.
We are looking for a Data Engineer to one of our clients within Banking & Finance.
Start date: 2026-09-30
End date: 2027-03-31
Location: Stockholm (3 days onsite, 2 days remote)
About the assignment:
You will maintain production services built in Python and PostgreSQL while supporting the development of modern cloud-native data pipelines and APIs on GCP. The role involves working within the Data Enablement & Processing team to provide reliable data infrastructure and services to the business. Additionally, you will work in a team developing and operating data pipelines, APIs, and cloud-native services on Google Cloud Platform (GCP), aimed to provide more modern alternative to the existing services. Our current technology stack includes Python, .NET, GraphQL, Terraform, Cloud Run, Cloud SQL, and BigQuery.
Core Responsibilities:
• Maintain and support existing Python and PostgreSQL services in production
• Develop and operate data pipelines, APIs, and cloud-native services on GCP
• Handle incidents and manage stakeholder communication
• Design and maintain data processing solutions using modern cloud technologies
Profile
• 5 years or more experience in software development, particularly with Python and PostgreSQL.
• Experience from running services on GCP.
• Experience from incident handling and stakeholder management.
• Proven ability in designing and maintaining data pipelines, data processing, and database technologies.
Techstack:
• Python
• PostgreSQL
• GCP
• Terraform
• GraphQL
• REST APIs
• .NET
• BigQuery
• CI/CD
• Cloud Run
• Cloud SQL