Azure Data Engineer — Hybrid, Lakehouse & AI Solutions

Outokumpu Chrome Oy; Helsinki; Hybrid; EUR 65,000 - 90,000; Full time

Benefits offered by this job

International environment

Hybrid work model

Growth opportunities

Job summary

Outokumpu Chrome Oy is seeking five Azure Data Engineers to join our Data team. You will design, build and maintain scalable data pipelines using Azure, Databricks, and SQL, integrating data from SAP, databases, APIs and cloud platforms.

You will modernize data warehouses, optimize performance, and contribute to data governance, CI/CD and automation. This role collaborates with platform, analytics, and business teams to deliver reliable data solutions for reporting, analytics, and AI.

Qualifications

• 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.

Responsibilities

• Design, build and maintain scalable data pipelines and modern lakehouse solutions using Azure, Databricks and SQL.
• Integrate data from SAP, databases, APIs and cloud platforms.
• Modernize legacy data warehouses, optimize performance and contribute to data governance, CI/CD and automation.
• Collaborate with platform, analytics and business teams to deliver reliable data solutions supporting reporting, analytics and AI.

Skills

Azure

Databricks

SQL

ETL/ELT

CI/CD

Git

Azure DevOps

Education

Bachelor's / Master's degree in relevant field

Tools

Git

Azure DevOps

Job description

Outokumpu Chrome Oy is seeking five Azure Data Engineers to join our Data team. You will design, build and maintain scalable data pipelines using Azure, Databricks, and SQL, integrating data from SAP, databases, APIs and cloud platforms.

You will modernize data warehouses, optimize performance, and contribute to data governance, CI/CD and automation. This role collaborates with platform, analytics, and business teams to deliver reliable data solutions for reporting, analytics, and AI.