Azure Data Engineer

Outokumpu; Katowice; Hybrid; PLN 14,000 - 17,000; Full time

Benefits offered by this job

Private life insurance

Medical care

Pension scheme

Multisport card

Annual STI bonus

Accident-free bonus

Hybrid work model

Modern office

Job summary

Outokumpu, a global leader in sustainable stainless steel, seeks an experienced Data Engineer in Katowice to design and optimize scalable data pipelines. You will work with Databricks, PySpark, SQL and Delta Lake to deliver reliable data solutions across reporting, analytics and AI initiatives.

You will modernize data platforms, migrate legacy warehouses to Azure, and collaborate with cross-functional teams. Hybrid on-site work is offered with a focus on secure, end-to-end data delivery.

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.
• Proven experience building production-grade ETL/ELT pipelines.
• 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 enterprise data platforms and migrate legacy data 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 that support reporting, analytics and AI.

Skills

Data engineering

Databricks

PySpark

SQL

Delta Lake

Azure Data Factory

ADLS

Azure SQL

Synapse

CI/CD

Azure DevOps

Collaboration

Tools

Databricks

PySpark

SQL

Delta Lake

Azure Data Factory

ADLS

Azure SQL

Synapse

Azure Functions

Job description

About Us

Outokumpu is accelerating the green transition as the global leader in sustainable stainless steel. Our business is rooted in the circular economy: our products are made from 95% recycled materials and are fully recyclable. Our stainless steel is used across society—from infrastructure and mobility to household appliances. We are committed to the 1.5°C climate target and, with up to 75% lower carbon footprint than the industry average, we help our customers reduce their emissions. Together, we are working towards a world that lasts forever. Outokumpu employs approximately 8,200 professionals in close to 30 countries, with headquarters in Helsinki, Finland, and shares listed on Nasdaq Helsinki. Learn more at www.outokumpu.com.

What you'll do

• 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.
• Contribute to CI/CD, automation and engineering best practices.
• Collaborate with platform, analytics and business teams to deliver reliable data solutions that support reporting, analytics and AI.

What we're looking for

• 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.
• Proven experience building production-grade ETL/ELT pipelines.
• 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.

Nice to have

• Experience with Databricks Lakeflow, Delta Live Tables or streaming architectures.
• Knowledge of Terraform and infrastructure automation.
• Experience supporting AI/ML, GenAI or RAG data solutions.
• Experience modernizing legacy data warehouses or integrating SAP data.

What We Offer

• International, diverse, and highly collaborative working environment
• Hybrid work model (2 times per week on-site)
• Private life insurance (Ergo Hestia)
• Comprehensive medical care (Lux Med)
• Pension scheme (PPK with PZU)
• Multisport card supporting an active lifestyle
• Annual performance bonus (STI) rewarding results and contribution
• Accident-free bonus awarded when defined safety targets are met and no incidents occur on the manufacturing site
• Modern office located at Żelazna 2, Katowice

Salary range in Poland: 13,880 - 17,340 zl. gross

Final offer depends on candidate experience and competence.

Employment Details

• 3-month probation period
• Permanent employment contract