Cloud Data Engineer - Client Reporting Team (GCP)
Summary
Senior Cloud Data Engineer consulting via emagine for a Nordic banking client's Client Reporting team in Stockholm (hybrid, 3 days onsite). Day to day: building and modernizing GCP data pipelines, APIs, and data products while bridging legacy systems to a cloud-native stack using Python, BigQuery, Dataform, Airflow, Pub/Sub, and Terraform.
emagine is looking for a senior Data Engineer with a strong technical foundation in Cloud, who enjoys combining strategy and technical design with hands-on work to one of our nordic banking clients
Start: 2026-12-01
End: 2027-12-31
location: Stockholm (3 days onsite, 2 days remote)
About the role
As a Senior Cloud Data Engineer within the Client Reporting team, you will work with business-critical data flows and reports, while actively contributing to technical design choices and development. The client reporting area is undergoing a major transformation, moving from legacy platforms to a modern cloud-based data ecosystem on GCP. The team’s mission is to make data accessible, reliable, and easy to consume, enabling data-driven decisions and powering next-generation applications.
What you will do
As a Senior Cloud Data Engineer, you will
- Drive and be part of the technical roadmap for data and integration solutions
- Work hands-on with technical design, development and implementation, as well as maintaining existing applications in the area
- Build and modernize data pipelines, APIs, and data products
- Bridge legacy systems with a modern cloud-native architecture in GCP
- Collaborate closely with architects, product owners, and other stakeholders
- Ensure alignment with technical standards, patterns, and target architecture
We believe you have
- Several years of experience in software development and data engineering
- A hands-on mindset with years of proven deliveries in GCP or similar cloud platforms
- Strong knowledge of Python, BigQuery, SQL
- Experience building scalable data solutions using tools such as BigQuery, Dataform, Airflow, Pub/Sub, Docker
- Understanding of modern data architectures (Data Warehouse, event-driven)
- Experience with ETL processes and data modelling (e.g. dimensional modelling, Data Vault)
- Experience with DevOps practices, CI/CD, GitLab, and Infrastructure as Code (e.g. Terraform)
- A collaborative mindset and the ability to translate business needs into technical solutions