Senior Data Engineer - Azure Databricks Lakehouse Architect

Outokumpu Chrome Oy; Dąbrowa Górnicza; Hybrid; PLN 14,000 - 17,000; Full time

Benefits offered by this job

Hybrid work model

Private life insurance

Comprehensive medical care

Pension scheme

Multisport card

Annual performance bonus

Safety bonus

Modern office

Job summary

Outokumpu Chrome Oy is seeking a data engineering specialist to design, build and optimize scalable data pipelines using Azure, Databricks, PySpark and SQL. You will drive modern lakehouse architectures, integrate SAP and cloud data, and modernize legacy warehouses on Azure.

Strong collaboration and governance are required to deliver reliable analytics solutions. The role emphasizes CI/CD, security, monitoring and cross-team partnerships to support reporting, analytics and AI initiatives in a

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 lakehouse architecture.

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 enterprise data platforms and migrate legacy data warehouses to Azure.
• Optimize data pipelines, Spark workloads and SQL performance.
• Implement data governance, security and monitoring.
• Collaborate with platform, analytics and business teams to deliver reliable data solutions.
• Contribute to CI/CD, automation and engineering best practices.

Skills

Data engineering

Enterprise data platforms

Analytical thinking

Collaboration

CI/CD

Tools

Databricks

PySpark

SQL

Delta Lake

Azure Data Factory

ADLS

Azure SQL

Synapse

Azure Functions

Job description

Outokumpu Chrome Oy is seeking a data engineering specialist to design, build and optimize scalable data pipelines using Azure, Databricks, PySpark and SQL. You will drive modern lakehouse architectures, integrate SAP and cloud data, and modernize legacy warehouses on Azure.

Strong collaboration and governance are required to deliver reliable analytics solutions. The role emphasizes CI/CD, security, monitoring and cross-team partnerships to support reporting, analytics and AI initiatives in a