Cloud Data Engineer
W skrócie
Cloud Data Engineer sought for a 2-year contract (2026-09-01 to 2028-08-31) in Stockholm. Responsibilities include technical design, development, and maintenance of data pipelines and APIs on GCP, modernizing systems and bridging legacy platforms. Requires Python, BigQuery, SQL, and cloud platform experience.
Skrót przygotowany przez AI na podstawie treści ogłoszenia.
emagine is looking for a Cloud data engineer to our nordic banking client.
Start: 2026-09-01End date: 2028-08-31Location: Stockholm
About the roleAs a 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 doDrive 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 areaBuild 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
- Who you are
- You are a data engineer with a strong technical foundation in cloud technologies, who enjoys combining strategy and technical design with hands-on work.
We believe you have
- Several years of experience in software development and data engineeringA hands-on mindset with years of proven deliveries in GCP or similar cloud platforms
- Strong knowledge of Python, BigQuery, and SQL
- Experience building scalable data solutions using tools such as BigQuery, Dataform, Airflow, Pub/Sub, and 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
| Opublikowana | 2026-08-06 |
| Wygasa | 2026-11-04 |
| Źródło |
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