Azure Data Engineer
At a glance
Mid-level Data Engineering role at Outokumpu. Helsinki.
Pay not stated Data Engineering salary
dataroles summary, based on the employer's posting.
What you'll do
- Build and look after Azure data pipelines and lakehouse environments with Databricks and SQL
- Bring together data from SAP, databases, APIs and cloud platforms, while updating older data warehouses
- Improve data performance and support governance, CI/CD and automation work
- Coordinate with platform, analytics and business teams to provide dependable data for reporting, analytics and AI
What you bring
- You have data engineering experience, including ETL or ELT work and enterprise data platforms
- A relevant master’s or bachelor’s degree qualifies, or you bring comparable experience
- You know Azure services such as Data Factory, ADLS or Azure SQL, along with other listed services
- You understand data warehousing, dimensional modelling and lakehouse architecture
- You have used Git, CI/CD and Azure DevOps
Who this fits
The role spans junior through senior experience, so it suits candidates at different career stages. You’ll work on a flexible hybrid schedule split evenly between home and the workplace. Appointment requires security vetting and a health check, including drug tests.
From the employer
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
- Master’s 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 careerspage. CVs send 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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