Cloud Data Engineer

Emagine • Python • SQL • ETL/ELT • 25 days ago
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In office (Stockholm)
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Emagine

Emagine is a pan-European business and technology consultancy specializing in high-end IT consulting and business transformation. Headquartered in Denmark, the company provides expert advice, managed teams, and managed services to enterprise clients in industries such as banking, finance, and telecommunications.
emagine.org • HQ: Copenhagen, Denmark • Professional Services

emagine is looking for a Cloud data engineer to our nordic banking client.

Start:

2026-09-01

End date: 2028-08-31

Location: Stockholm

About the role

As 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 do

  • 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

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 engineering

  • A 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

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