
Deadline Oct 25
Last seen Oct 10
Posted Sep 22 · 18 days ago
Open 18 days. This role usually stays open about 21 days
Azure Data Engineer
Five Azure Data Engineer openings; build Azure and Databricks pipelines in a 50/50 hybrid role.
Location: Finland: Helsinki, Tornio We are looking for five Azure Data Engineers, from junior talent to senior professionals, to join our Data team. Your role You will design, build and maintain scalable data pipelines and modern lakehouse solutions using Azure, Databricks, and SQL. You will integrate data from SAP, databases, APIs and cloud platforms, modernize legacy data warehouses, optimize performance and contribute to data governance, CI/CD and automation. Working closely with platform, analytics and business teams, you will deliver reliable data solutions supporting reporting, analytics and AI. What we're looking for - Experience in data engineering, ETL/ELT and enterprise data platforms - Masters or Bachelor's degree in relevant field or similar experience - Familiarity with Azure services such as Data Factory, ADLS, Azure SQL, Synapse and Azure Functions - Understanding of data warehousing, dimensional modelling and lakehouse architecture - Experience with Git, CI/CD and Azure DevOps - Strong problem-solving and collaboration skills Experience with streaming, Databricks Lakeflow, PySpark, Delta Lake, Terraform, SAP integrations or AI/ML data solutions is an advantage. What we offer - An international, diverse and collaborative working environment - A flexible 50/50 hybrid work model - Opportunities for growth and involvement in modern data and AI initiatives Apply latest by 25 October 2026 via our careers page. CVs sent through email will not be processed. For more information about the positions please contact Head of Global Data Platforms and Integrations Sauli Kukkonen, Sauli.kukkonen(at)Outokumpu.com. For more information regarding the process please contact TA Partner Miikka Enbuske, miikka.enbuske(at)Outokumpu.com. The selected candidate will be required to pass a security clearance vetting and health check (including drug tests) before commencing employment.
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Estimated from 66 comparable listings
| Market | Lower bound (25th percentile) | Median | Upper bound (75th percentile) |
|---|---|---|---|
| mid-level roles | €3,500 per month | €4,850 per month | €6,000 per month |
| This offer | €4,022 per month | €4,653 per month | €5,284 per month |
- Design, build and maintain scalable data pipelines and modern lakehouse solutions
- Integrate data from SAP, databases, APIs and cloud platforms
- Modernize legacy data warehouses and optimize performance
- Contribute to data governance, CI/CD and automation
- Collaborate with platform, analytics and business teams to deliver solutions supporting reporting, analytics and AI
- Experience in data engineering, ETL/ELT and enterprise data platforms
- Relevant bachelor's or master's degree, or similar experience
- Familiarity with Azure Data Factory, ADLS, Azure SQL, Synapse and Azure Functions
- Understanding of data warehousing, dimensional modelling and lakehouse architecture
- Experience with Git, CI/CD and Azure DevOps
- Strong problem-solving and collaboration skills
- Selected candidate must pass security clearance vetting and health check, including drug tests
- Apply through the company's careers page by 25 October 2026; emailed CVs will not be processed.
- The selected candidate must pass security clearance vetting and a health check, including drug tests.
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