Data Engineer - JM Suomi Oy - Stockholm, Sweden
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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. The ideal candidate has at least 5 years of experience in Data Engineering, strong SQL skills, experience with Snowflake, data modeling, Python, and cloud environments like Azure. Fluency in Swedish and English is required. The role offers opportunities for growth, influence over technical choices, and working in a dynamic, collaborative environment.
Company Information
| Location | Active listings |
|---|---|
| Helsinki, Finland | 4 |
| Remote - Global | 4 |
| Espoo, Finland | 3 |
| Tampere, Finland | 3 |
| Remote - Finland | 2 |
| Tuusula, Finland | 1 |
| Nokia, Finland | 1 |
| Vantaa, Finland | 1 |
| Role type | Active listings |
|---|---|
| Human Resources Specialist | 4 |
| Open Application | 2 |
| Cost Specialist | 1 |
| Sales Representative | 1 |
| Construction Worker | 1 |
| Construction Site Trainee | 1 |
| Construction Intern | 1 |
| Construction Internship | 1 |
| Spontanansökan Hantverkare | 1 |
| Role level | Active listings |
|---|---|
| Mid-Level | 6 |
| Intern | 3 |
JM Suomi Oy appears in 19 indexed job postings in JobCrawls' Finland dataset since August 2024. In that historical index, the strongest location signals for this employer are Helsinki, Finland, Remote - Global, and Espoo, Finland.
About
Includes details from the Finnish Trade Register.
Osakeyhtiö
Construction of residential and non-residential buildings
Financial Overview (2024)
JM Suomi Oy was profitable in 2024 with revenue of €174.6M and a profit margin of 0.0%.
Data shown is based on historical job postings from our database.
Job Details
Responsibilities
- Build and optimize data pipelines (ETL/ELT)
- Design, build, and develop the cloud-based data platform
- Work with data modeling for analysis and decision support
- Ensure performance, scalability, and cost-efficiency
- Establish data governance including data quality, lineage, and business rules
- Automate, test, and monitor data processes
- Manage CI/CD flows in Azure DevOps
- Collaborate with business to understand data needs and create business value
- Support Data Analysts in Power BI as needed
- Contribute to technical guidelines, architecture, and best practices
Requirements
- At least 5 years of experience in Data Engineering
- Strong SQL skills
- Experience with data modeling (e.g., 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
Skills & Technologies
Education Level
None required