Data Engineer
JM Suomi Oy
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Job summary
JM is seeking a Data Engineer to help build a modern data platform and migrate from on-premise to a cloud-based Snowflake environment. You will design scalable data pipelines, model data using Kimball/star schema, and ensure governance and performance while collaborating with teams in Sweden, Norway, and Finland.
You will work with Azure DevOps for CI/CD, apply data governance principles, and leverage Python in data workflows. Fluency in Swedish and English is required for daily collaboration.
Qualifications
- 5+ years of experience in Data Engineering.
- Strong SQL skills.
- Experience with data modeling (Kimball, star schema).
- Experience with data pipelines (ETL/ELT) in production.
- Experience with Snowflake.
- Experience with dbt or similar tools.
- Experience with cloud environments like Azure.
- Experience with Python.
- Experience with CI/CD and DevOps.
- Good understanding of data architecture and data governance.
- Fluency in Swedish and English required.
Responsibilities
- Migrate existing systems to a cloud-based Snowflake environment
- Design and build scalable data pipelines (ETL/ELT) in production
- Model data using Kimball/star schema principles
- Ensure performance, scalability, and governance of data assets
- Automate data processes and manage CI/CD pipelines in Azure DevOps
- Collaborate with business units across Sweden, Norway, and Finland
Skills
Tools
Job description
On behalf of JM, we are seeking a Data Engineer to help build a modern data platform from scratch and develop towards an architectural role over time. The role involves migrating from a traditional on-premise solution to a cloud-based platform in Snowflake, designing and building data pipelines, working with data modeling, ensuring performance and scalability, establishing data governance, automating processes, managing CI/CD in Azure DevOps, and collaborating with business units across Sweden, Norway, and Finland.
- Migrate existing systems to a cloud-based Snowflake environment
- Design and build scalable data pipelines (ETL/ELT) in production
- Model data using Kimball/star schema principles
- Ensure performance, scalability, and governance of data assets
- Automate data processes and manage CI/CD pipelines in Azure DevOps
- Collaborate with business units across Sweden, Norway, and Finland
- At least 5 years of experience in Data Engineering
- Strong SQL skills
- Experience with data modeling (Kimball, star schema)
- Experience with data pipelines (ETL/ELT) in production
- Experience with Snowflake
- Experience with dbt or similar tools
- Experience with cloud environments like Azure
- Experience with Python
- Experience with CI/CD and DevOps
- Good understanding of data architecture and data governance
- Fluency in Swedish and English required
The role offers opportunities for growth, influence over technical choices, and working in a dynamic, collaborative environment.
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