Hybrid Cloud Data Engineer | Data Platforms & AI

PwC Polska; Katowice; Hybrid; PLN 180,000 - 260,000; Full time

Benefits offered by this job

Hybrid work model

Comprehensive medical and well-being p

Individual benefits package options

Volunteer hours (3 paid hours per月)

Job summary

PwC Polska is seeking a Cloud Data Engineer to join the Data, Digital Solutions & AI team in Katowice. You will build data platforms, define data flows, and design migration plans across data domains, collaborating with senior stakeholders.

The role requires 3+ years in data engineering and hands-on Azure-based experience (Fabric, Databricks, Synapse). Proficiency in Python, PySpark, SQL, and CI/CD with Azure DevOps or Jira is essential.

Qualifications

• Minimum 3 years in Data Engineering or related areas like BI or Data Science.
• Hands-on with Azure-based platforms (Fabric, Databricks) and other platforms a plus.
• Experience building data warehouses, data lakes, and data lakehouses on Azure Data Factory & Synapse.
• Proficient in Python (PySpark) and SQL for data transformation and querying.
• CI/CD and release management using Azure DevOps or Jira; strong documentation ability.

Responsibilities

• Build data platforms with data lakehouses, warehouses and data lakes using Azure tools.
• Define data flows across platforms using medallion or lambda patterns.
• Design migration plans for moving data from legacy systems to target solutions.
• Perform data quality assessments with modelers and analysts across domains.
• Collaborate with stakeholders and support Senior Data Architects on requirements.

Skills

Data engineering

Python

SQL

PySpark

Azure Data Factory

Databricks

Azure Synapse

CI/CD

Polish

Business English

Tools

Microsoft Fabric

Databricks

Azure Synapse Analytics

Snowflake

Job description

PwC Polska is seeking a Cloud Data Engineer to join the Data, Digital Solutions & AI team in Katowice. You will build data platforms, define data flows, and design migration plans across data domains, collaborating with senior stakeholders.

The role requires 3+ years in data engineering and hands-on Azure-based experience (Fabric, Databricks, Synapse). Proficiency in Python, PySpark, SQL, and CI/CD with Azure DevOps or Jira is essential.