Senior Azure Data Engineer: Lakehouse & AI Pipelines

Outokumpu; Oulu; Hybrid; EUR 48,000 - 59,000; Full time

Benefits offered by this job

Flexible working arrangements

Learning and development opportunities

Competitive compensation

Global company

Job summary

Outokumpu is seeking a data engineer to design, build and maintain scalable data pipelines and modern lakehouse architectures. You will integrate data from SAP, databases and cloud platforms, optimizing pipelines and ensuring governance and security.

The role collaborates with analytics and business teams to deliver reliable data solutions. Flexible working arrangements apply; salary is competitive and commensurate with experience.

Qualifications

• Strong experience in data engineering and enterprise data platforms.
• Hands-on expertise with Databricks, PySpark, SQL and Delta Lake.
• Experience with Azure Data Factory, ADLS, Azure SQL, Synapse and Azure Functions.
• Knowledge of data warehousing, dimensional modelling and modern lakehouse architecture.
• Experience with CI/CD, Git and Azure DevOps.
• Strong analytical, problem-solving and collaboration skills.

Responsibilities

• Design, build and maintain scalable data pipelines using Azure, Databricks, PySpark and SQL.
• Develop ETL/ELT solutions and integrate data from SAP, databases, APIs and cloud platforms.
• Build modern lakehouse architectures with Databricks and Delta Lake.
• Modernize data platforms and migrate legacy warehouses to Azure.
• Optimize data pipelines, Spark workloads and SQL performance.
• Implement data governance, security and monitoring.
• Contribute to CI/CD, automation and engineering best practices.
• Collaborate with platform, analytics and business teams to deliver reliable data solutions.

Skills

Data engineering

Databricks

PySpark

SQL

Delta Lake

Azure Data Factory

Azure Data Services

CI/CD

Git

Azure DevOps

Lakehouse architecture

Tools

Databricks Lakeflow

Delta Live Tables

Terraform

Job description

Outokumpu is seeking a data engineer to design, build and maintain scalable data pipelines and modern lakehouse architectures. You will integrate data from SAP, databases and cloud platforms, optimizing pipelines and ensuring governance and security.

The role collaborates with analytics and business teams to deliver reliable data solutions. Flexible working arrangements apply; salary is competitive and commensurate with experience.